SICSS, 2022
Christopher Barrie
Testing API call (again…)
We can investigate user characteristics
We can investigate text beyond keywords
We can investigate additional tweet characteristics (metrics, annotations)
tibble [926 × 31] (S3: tbl_df/tbl/data.frame)
$ tweet_id : chr [1:926] "1213593785629859841" "1213593764628963333" "1213593714200739840" "1213593713772941312" ...
$ user_username : chr [1:926] "MSmeowsie" "lordofintent" "ernarina94" "Adhit_1909" ...
$ text : chr [1:926] "@Blueequus775 \nBLM gets a new boss in Utah as feds shuffle key positions - The Salt Lake Tribune https://t.co/yod4mxxoqo" "RT @Nick_BLM: Meat Loaf says Greta Thunberg has ' been forced into thinking climate change is true ' yeah possi"| __truncated__ "RT @_ImYour_Engel: [HELP RT] OPEN SHARING SM ARTIST SEASON GREETINGS 2020\n\n- No shopee\n- Pengiriman dr Jakar"| __truncated__ "RT @elisa_jkt: Maret 2019 ada berita @indopressid ttg masalah ganti rugi lahan Waduk Ciawi yg tdk beres.\n\nTyt"| __truncated__ ...
$ conversation_id : chr [1:926] "1213593785629859841" "1213593764628963333" "1213593714200739840" "1213593713772941312" ...
$ source : chr [1:926] "Twitter Web App" "Twitter for Android" "Twitter for Android" "Twitter for Android" ...
$ possibly_sensitive : logi [1:926] FALSE FALSE FALSE FALSE FALSE FALSE ...
$ author_id : chr [1:926] "4108983501" "4798547435" "1099552499864727553" "61757743" ...
$ lang : chr [1:926] "en" "en" "in" "in" ...
$ created_at : chr [1:926] "2020-01-04T22:51:20.000Z" "2020-01-04T22:51:15.000Z" "2020-01-04T22:51:03.000Z" "2020-01-04T22:51:03.000Z" ...
$ in_reply_to_user_id : chr [1:926] "833402240241065984" NA NA NA ...
$ user_verified : logi [1:926] FALSE FALSE FALSE FALSE FALSE FALSE ...
$ user_description : chr [1:926] "" "Unite Member, Ex-Labour\n#ClimateEmergency is Real...\n¡¡¡...Zero by 2030...!!! 🐇🐇🐇🐇🐇\nBunny Hugger 🐰🐰🐰🐰🐰🐰🐰" "Ⓜⓤⓛⓕⓐⓝⓓ, ✦ ˚ *𝔼𝕏𝕆* ˚ ✦, ♡⋆ƝƇƬ⋆♡, ⸙: ✰❛ ⒝⒯⒮; ❀❜, ✧ T̨͈͗̌ͥḣ̖̻͛̓ẹ̿͋̒̕ B̩͎͍̾ͅo̯̱̊͊͢y҉̃̀̋̑z̼͙̓́ͭ ✧, ↳˳⸙;; ❝ ѕєνєηтєєη ᵕ̈ ೫˚∗:, ˗ˏˋRҽɗ VҽƖⱱҽƭ࿐ྂ, ❝𝐼𝒰 ᵕ̈." "Allah - Rasullullah - Family - friends | #AntiJILSyiah dkk | #Tripoter | #mufc #juventus | Pinned Twit - Al ‘Il"| __truncated__ ...
$ user_name : chr [1:926] "M Susan" "💙 🟨🟥 🐰🐇🐰🐇 Physics doesn't stop for politics" "𝐸𝓇𝓃𝒶 𝑅𝒾𝓃𝒶 𝐿𝑒𝓈𝓉𝒶𝓇𝒾" "ΛYƬIΉDΛ ӨΉӨЯGЦП 🇵🇸🇮🇩" ...
$ user_protected : logi [1:926] FALSE FALSE FALSE FALSE FALSE FALSE ...
$ user_created_at : chr [1:926] "2015-11-04T03:02:29.000Z" "2016-01-13T23:09:28.000Z" "2019-02-24T06:11:59.000Z" "2009-07-31T12:18:24.000Z" ...
$ user_url : chr [1:926] "" "" "" "https://t.co/UECFF1M57b" ...
$ user_profile_image_url: chr [1:926] "https://abs.twimg.com/sticky/default_profile_images/default_profile_normal.png" "https://pbs.twimg.com/profile_images/1509223630630182929/rtSRFBDS_normal.jpg" "https://pbs.twimg.com/profile_images/1502247452908597252/FX9f_5iH_normal.jpg" "https://pbs.twimg.com/profile_images/1514535745654235137/BQpezALD_normal.jpg" ...
$ user_pinned_tweet_id : chr [1:926] NA "1447245850074390533" NA "1274481454383198210" ...
$ user_location : chr [1:926] NA NA "𝐵𝑎𝑛𝑑𝑢𝑛𝑔" "Indonesia" ...
$ retweet_count : int [1:926] 0 41 579 95 0 66 39 0 0 124 ...
$ like_count : int [1:926] 0 0 0 0 1 0 0 0 0 0 ...
$ quote_count : int [1:926] 0 0 0 0 0 0 0 0 0 0 ...
$ user_tweet_count : int [1:926] 88273 263910 2642 82828 77156 93451 263910 21877 46069 64 ...
$ user_list_count : int [1:926] 7 15 0 0 1 44 15 3 56 0 ...
$ user_followers_count : int [1:926] 422 4372 525 1846 1655 3805 4372 573 1937 1 ...
$ user_following_count : int [1:926] 573 4963 565 754 2367 462 4963 407 2190 79 ...
$ sourcetweet_type : chr [1:926] NA "retweeted" "retweeted" "retweeted" ...
$ sourcetweet_id : chr [1:926] NA "1213565174378061826" "1212342410425929728" "1213272799642439681" ...
$ sourcetweet_text : chr [1:926] NA "Meat Loaf says Greta Thunberg has ' been forced into thinking climate change is true ' yeah possibly by 97% sci"| __truncated__ "[HELP RT] OPEN SHARING SM ARTIST SEASON GREETINGS 2020\n\n- No shopee\n- Pengiriman dr Jakarta Selatan setelah "| __truncated__ "Maret 2019 ada berita @indopressid ttg masalah ganti rugi lahan Waduk Ciawi yg tdk beres.\n\nTyt di Nov 2019, b"| __truncated__ ...
$ sourcetweet_lang : chr [1:926] NA "en" "in" "in" ...
$ sourcetweet_author_id : chr [1:926] NA "2760638907" "1177631206705205248" "44556194" ...'data.frame': 500 obs. of 14 variables:
$ author_id : chr "976487995300708354" "754870860238888960" "57811254" "1143108226440843265" ...
$ lang : chr "in" "in" "en" "in" ...
$ conversation_id : chr "1213611045954019328" "1213390749879828480" "1213611010998841344" "1213610984033538048" ...
$ created_at : chr "2020-01-04T23:59:55.000Z" "2020-01-04T23:59:48.000Z" "2020-01-04T23:59:47.000Z" "2020-01-04T23:59:41.000Z" ...
$ text : chr "RT @Ade1ra78_: Mnrt ilmu hidrodinamika cr mncegah banjir : \n●Wadah pnampungn hujan ●penyerapan \n●pengaliran \"| __truncated__ "@wisanggeni_084 Masih syukur camatnya minta maaf....lha yg bosnya DKI salahnya sdh kebangetan msh blm minta maa"| __truncated__ "RT @PhilipWegmann: Call was organized by local BLM group to highlight \"Mayor Pete's Cold Shoulder & Tolera"| __truncated__ "BESOK SEKOLAH!!!\n.\nbisa-bisanya gw blm tidur fak.." ...
$ source : chr "Twitter Web App" "Twitter for Android" "Twitter Web App" "Twitter for Android" ...
$ possibly_sensitive : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
$ public_metrics :'data.frame': 500 obs. of 4 variables:
..$ retweet_count: int 99 0 52 0 0 0 0 0 0 0 ...
..$ reply_count : int 0 0 0 0 1 1 0 0 0 0 ...
..$ like_count : int 0 0 0 1 0 0 0 0 0 0 ...
..$ quote_count : int 0 0 0 0 0 0 0 0 0 0 ...
$ referenced_tweets :List of 500
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213425756518281216"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213390749879828480"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213496493317001217"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213610697130536960"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213610697130536960"
..$ : NULL
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213610352325189632"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213585807413374976"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213468848311029760"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213606075867357184"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213594615732822016"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1209843406110748672"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213414676316315650"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213610451080081409"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213435024244006912"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213610183932313600"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213453050473406464"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213601037010927618"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
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..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213496675714646018"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213254424753254408"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213516188589809664"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213496491081379841"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213456972864843778"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213590108756070400"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213609587267555328"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213609900724510720"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1212342410425929728"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213480308663713793"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213578767429443585"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213490562159955969"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1145048479091183616"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213428161494437888"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213414676316315650"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213608674230300672"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213455681379917825"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213565174378061826"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213496493317001217"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213496491081379841"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213435024244006912"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213506401076514816"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213496491081379841"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "quoted"
.. ..$ id : chr "1213392705104969728"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213123019431792642"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213453050473406464"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213455681379917825"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213414676316315650"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213453887618764800"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "quoted"
.. ..$ id : chr "1213581100183781377"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213083928845680641"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213394859874082816"
..$ : NULL
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "quoted"
.. ..$ id : chr "1213606416633778183"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213552359411863552"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213496675714646018"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213608639044444165"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213603208037203970"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213605682378731520"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213606520916561920"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213452328449101824"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213303782739599360"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213608992901148672"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213498223186173952"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213545625104465920"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213485016409182208"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213414676316315650"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213608723735670784"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1210998990289821696"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "quoted"
.. ..$ id : chr "1213358846988570625"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213608476091379712"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "quoted"
.. ..$ id : chr "1213254767553601536"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213605022069645312"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213414676316315650"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213279021401686016"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213083928845680641"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213592117857202176"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213502899118125057"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213607766633267201"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213493880978460672"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213272799642439681"
..$ : NULL
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213467696031051776"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213501431983960066"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213353018768404480"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213588506737381377"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1203395827781242881"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213440922882588677"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "retweeted"
.. ..$ id : chr "1213586079510450176"
..$ :'data.frame': 1 obs. of 2 variables:
.. ..$ type: chr "replied_to"
.. ..$ id : chr "1213607844802519043"
.. [list output truncated]
$ id : chr "1213611045954019328" "1213611015192997888" "1213611010998841344" "1213610984033538048" ...
$ in_reply_to_user_id: chr NA "112953652" NA NA ...
$ entities :'data.frame': 500 obs. of 4 variables:
..$ mentions :List of 500
.. ..$ : NULL
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 15
.. .. ..$ username: chr "wisanggeni_084"
.. .. ..$ id : chr "112953652"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 3
.. .. ..$ end : int 17
.. .. ..$ username: chr "PhilipWegmann"
.. .. ..$ id : chr "591973307"
.. ..$ : NULL
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 10
.. .. ..$ username: chr "busannboi"
.. .. ..$ id : chr "1196778374103879686"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 10
.. .. ..$ username: chr "busannboi"
.. .. ..$ id : chr "1196778374103879686"
.. ..$ : NULL
.. ..$ : NULL
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 10
.. .. ..$ username: chr "awartydos"
.. .. ..$ id : chr "1022857075737554944"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 10
.. .. ..$ username: chr "dr_koko28"
.. .. ..$ id : chr "1052703629528854530"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 3
.. .. ..$ end : int 15
.. .. ..$ username: chr "ronavioleta"
.. .. ..$ id : chr "485385284"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 11
.. .. ..$ username: chr "kkaepjjunk"
.. .. ..$ id : chr "1051771095676678144"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 8
.. .. ..$ username: chr "Zargo05"
.. .. ..$ id : chr "2719683537"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 3
.. .. ..$ end : int 14
.. .. ..$ username: chr "Iwa_Kusuma"
.. .. ..$ id : chr "187845559"
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 3
.. .. ..$ end : int 16
.. .. ..$ username: chr "MurtadhaOne1"
.. .. ..$ id : chr "1178950184601935873"
.. ..$ : NULL
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 3
.. .. ..$ end : int 14
.. .. ..$ username: chr "honjayaass"
.. .. ..$ id : chr "713671084877295616"
.. ..$ : NULL
.. ..$ :'data.frame': 10 obs. of 4 variables:
.. .. ..$ start : int 3 19 27 35 49 59 76 85 98 119
.. .. ..$ end : int 16 26 34 48 58 75 84 97 112 125
.. .. ..$ username: chr "Blueequus775" "NRDems" "neguse" "RepAndyLevin" ...
.. .. ..$ id : chr "833402240241065984" "247486443" "6875922" "1080277407867772930" ...
.. ..$ :'data.frame': 1 obs. of 4 variables:
.. .. ..$ start : int 0
.. .. ..$ end : int 15
.. .. ..$ username: chr "collegemenfess"
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..$ place_id: chr NA NA NA NA ...| text | referenced_tweets | conversation_id | created_at | entities | lang | author_id | public_metrics | id | possibly_sensitive | source | in_reply_to_user_id | attachments |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RT @ProfJaneGreen: Why has so much changed so quickly in GB elections? The result of long term volatility and Electoral Shocks. I venture t… | retweeted , 1207595336530907136 | 1207621149720555520 | 2019-12-19T11:18:13.000Z | 3, 17, ProfJaneGreen, 112729477 | en | 95226101 | 14 | 1207621149720555520 | FALSE | Twitter Web App | NA | NULL |
| Protest cycles worldwide rely on the ritual gathering of crowds on focal days. Does this limit the power of the street during a political transition? @NeilKetchley and I ask this question wrt Egypt and Tunisia in 2011. Just up @PRQjournal https://t.co/HH2kao5nk0 | NULL | 1206481954306179073 | 2019-12-16T07:51:27.000Z | 150, 227, 163, 238, NeilKetchley, PRQjournal, 419500182, 775719113696030720 | en | 95226101 | 14 | 1206481954306179073 | FALSE | Twitter Web App | NA | NULL |
| RT @dakvid: My gallery of #30DayMapChallenge is online (not complete yet, but growing). Thanks to @tjukanov for initiating, and everyone wh… | retweeted , 1204473381019500545 | 1205050772351782914 | 2019-12-12T09:04:27.000Z | 3, 98, 10, 107, dakvid, tjukanov, 33788841, 2198358416 | en | 95226101 | 28 | 1205050772351782914 | FALSE | Twitter Web App | NA | NULL |
| RT @PEngzell: New publication w/@fctropf: Heritability of education rises with intergenerational mobility tl;dr: Variation in intergenerat… | retweeted , 1202253764918497280 | 1202873668201799681 | 2019-12-06T08:53:25.000Z | 3, 32, 12, 40, pengzell, fctropf, 822050146796052480, 718432707253035008 | en | 95226101 | 99 | 1202873668201799681 | FALSE | Twitter Web App | NA | NULL |
| RT @ruettenauer: When do you need spatial models? And which specification should you use? Have a look at my simulation paper, now out in So… | retweeted , 1200366883825999873 | 1200369870858264578 | 2019-11-29T11:04:13.000Z | 3, 15, ruettenauer, 397991469 | en | 95226101 | 49 | 1200369870858264578 | FALSE | Twitter Web App | NA | NULL |
| Very late to this but this is brilliant data journalism from @Reuters https://t.co/L2razVQNwM | NULL | 1200066433213980672 | 2019-11-28T14:58:28.000Z | 61, 69, Reuters, 1652541 | en | 95226101 | 1 | 1200066433213980672 | FALSE | Twitter Web App | NA | NULL |
| Prepping teaching material for quant. methods course and want to give a boost to some great resources I've found using Shiny to teach intro. stats/data wrangling & viz. •https://t.co/4L5jRDb1ga •https://t.co/g0YzlwptyZ •https://t.co/IDUDzB1due •https://t.co/AYvpQ0zE3p | NULL | 1199023375135444994 | 2019-11-25T17:53:44.000Z | NULL | en | 95226101 | 1 | 1199023375135444994 | FALSE | Twitter Web App | NA | NULL |
| RT @ferdinandeibl: Excited to announce my forthcoming book Social Dictatorships with @OUPEconomics. Check it out if you are interested in… | retweeted , 1191996297752039424 | 1192005230835224577 | 2019-11-06T09:06:08.000Z | 3, 85, 17, 98, ferdinandeibl, OUPEconomics, 1186335979, 2474568630 | en | 95226101 | 41 | 1192005230835224577 | FALSE | Twitter Web App | NA | NULL |
| Conclusion: if protest matters for forcing democratic breakthrough, we need also to pay attention to how the forms of protest available to oppositions may yet limit the power of the street during transition. | replied_to , 1190212586182184960 | 1190212513260019712 | 2019-11-01T10:22:48.000Z | NULL | en | 95226101 | 0 | 1190212587939651584 | FALSE | Twitter Web App | 95226101 | NULL |
| This repertoire—an inheritance of the revolutionary period—continues in Egypt with the recent round of anti-Sisi Friday Protests https://t.co/mQPcH2CTgd | replied_to , 1190212585024630790 | 1190212513260019712 | 2019-11-01T10:22:48.000Z | NULL | en | 95226101 | 2 | 1190212586182184960 | FALSE | Twitter Web App | 95226101 | NULL |
| 3) transitory nature of Friday protest limited any potential for coalitions to form over the revolutionary conjuncture | replied_to , 1190212583682383872 | 1190212513260019712 | 2019-11-01T10:22:48.000Z | NULL | en | 95226101 | 0 | 1190212585024630790 | FALSE | Twitter Web App | 95226101 | NULL |
| 2) ritual gatherings became very easy to police: arterial routes were closed down, preventing mass gatherings in public squares from taking place | replied_to , 1190212582365442048 | 1190212513260019712 | 2019-11-01T10:22:47.000Z | NULL | en | 95226101 | 0 | 1190212583682383872 | FALSE | Twitter Web App | 95226101 | NULL |
| 1) labor protest rarely took place in conjunction with broader political protest, limiting impact of economic cost labor has potential to inflict | replied_to , 1190212581039972352 | 1190212513260019712 | 2019-11-01T10:22:47.000Z | NULL | en | 95226101 | 0 | 1190212582365442048 | FALSE | Twitter Web App | 95226101 | NULL |
| Why does all this matter? It matters, we argue, because this reliance on focal days functioned to 1) hinder system-wide action; 2) curtail disruptive protest; and 3) hamper coalition formation | replied_to , 1190212578317877248 | 1190212513260019712 | 2019-11-01T10:22:47.000Z | NULL | en | 95226101 | 0 | 1190212581039972352 | FALSE | Twitter Web App | 95226101 | NULL |
| And Fridays were days when protest often began outside mosques after prayer and subsequently moved to public spaces. Meantime, places of work or study were less likely to host protest. https://t.co/n6jbiY1Ij5 | replied_to , 1190212567559495681 | 1190212513260019712 | 2019-11-01T10:22:46.000Z | NULL | en | 95226101 | 0 | 1190212578317877248 | FALSE | Twitter Web App | 95226101 | 3_1190212571317579776 |
| Fridays were days when protest took transitory forms and was less likely to involve economic demands. https://t.co/qkCcTBDAno | replied_to , 1190212557631610881 | 1190212513260019712 | 2019-11-01T10:22:43.000Z | NULL | en | 95226101 | 0 | 1190212567559495681 | FALSE | Twitter Web App | 95226101 | 3_1190212560617951233 |
| Fridays were days when activists mobilized but labor and students were less likely to organize protest. https://t.co/QaXklSGe22 | replied_to , 1190212548865466368 | 1190212513260019712 | 2019-11-01T10:22:41.000Z | NULL | en | 95226101 | 0 | 1190212557631610881 | FALSE | Twitter Web App | 95226101 | 3_1190212550207713281 |
| While in Tunisia, the sectors, tactics, and locales of protest had no obvious daily rhythm, in Egypt we discern systematic differences in the who, how, and where. | replied_to , 1190212547284258817 | 1190212513260019712 | 2019-11-01T10:22:39.000Z | NULL | en | 95226101 | 0 | 1190212548865466368 | FALSE | Twitter Web App | 95226101 | NULL |
| What effects did this reliance on focal days have on the sectors organizing protest, the tactics they use, and the setting of protest—what we refer to as the "who," the "how," and the "where" of mass mobilization? | replied_to , 1190212544922816512 | 1190212513260019712 | 2019-11-01T10:22:39.000Z | NULL | en | 95226101 | 0 | 1190212547284258817 | FALSE | Twitter Web App | 95226101 | NULL |
| Not so in Tunisia where organizations such as the UGTT were able to mount protest immediately in response to the unfolding political process. Unlike in Egypt, protesters often got the weekend off https://t.co/sr4if0vfzd | replied_to , 1190212536274161665 | 1190212513260019712 | 2019-11-01T10:22:38.000Z | NULL | en | 95226101 | 0 | 1190212544922816512 | FALSE | Twitter Web App | 95226101 | 3_1190212539973619712, 3_1190212539969409024 |
| In Egypt, focal Fridays became a ritual feature of the weekly protest calendar https://t.co/wLNQgIfj56 | replied_to , 1190212526740561920 | 1190212513260019712 | 2019-11-01T10:22:36.000Z | NULL | en | 95226101 | 1 | 1190212536274161665 | FALSE | Twitter Web App | 95226101 | 3_1190212528271478784, 3_1190212528313372672 |
| No focal day in Tunisia, you might have spied. We dig into this further with paired comparison of Tunisia and Egypt in revolutionary year of 2011. We constructed two event catalogues from Arabic-language news media and use national daily participation (count) as key DV | replied_to , 1190212523049570304 | 1190212513260019712 | 2019-11-01T10:22:34.000Z | NULL | en | 95226101 | 0 | 1190212526740561920 | FALSE | Twitter Web App | 95226101 | NULL |
| What do we find? Using Fridays as focal points for mobilization is common to numerous countries in the MENA. RHS graph is coefficient plot of # protest events compared to first day of the week. Data from @ACLEDINFO https://t.co/bEMRBx8yt6 | replied_to , 1190212513260019712 | 1190212513260019712 | 2019-11-01T10:22:33.000Z | 204, 214, ACLEDINFO, 632793024 | en | 95226101 | 1 | 1190212523049570304 | FALSE | Twitter Web App | 95226101 | 3_1190212515407572997 |
| Forthcoming with @NeilKetchley in @PRQjournal https://t.co/bgWhp6xigI "Fridays of Revolution: Focal Days and Mass Protest in Egypt and Tunisia" | NULL | 1190212513260019712 | 2019-11-01T10:22:30.000Z | 17, 34, 30, 45, NeilKetchley, PRQjournal, 419500182, 775719113696030720 | en | 95226101 | 10 | 1190212513260019712 | FALSE | Twitter Web App | NA | NULL |
| V impressive new data publicly available here #openscience #openaccess #opendata @HouseofCommons @commonslibrary @HoCPress https://t.co/sB6UDEPB5k | quoted , 1178979319756013568 | 1178988664162009088 | 2019-10-01T11:02:56.000Z | 81, 97, 113, 96, 112, 122, HouseofCommons, commonslibrary, HoCPress, 950249762, 359909279, 718057056125771777 | en | 95226101 | 0 | 1178988664162009088 | FALSE | Twitter Web App | NA | NULL |
| @jannisgrimm @NeilKetchley | replied_to , 1177532752289308673 | 1177532752289308673 | 2019-09-27T15:23:20.000Z | 0, 13, 12, 26, jannisgrimm, NeilKetchley, 597730257, 419500182 | und | 95226101 | 0 | 1177604641661554688 | FALSE | Twitter Web App | 597730257 | NULL |
| RT @POMEPS: "As we’ve seen in Egypt, popular disillusionment with democracy can be harnessed to roll back democratic gains and even bring b… | retweeted , 1169620589948092417 | 1169621849027862528 | 2019-09-05T14:42:33.000Z | 3, 10, POMEPS, 129836735 | en | 95226101 | 3 | 1169621849027862528 | FALSE | Twitter Web App | NA | NULL |
| RT @MAliKadivar: If you are at @APSAtweets, come check out our panel about social movement organizations & their alternatives in the recent… | retweeted , 1166060313155756033 | 1166677040298414080 | 2019-08-28T11:40:56.000Z | 3, 31, 15, 42, MAliKadivar, APSAtweets, 983978676, 38673058 | en | 95226101 | 5 | 1166677040298414080 | FALSE | Twitter Web App | NA | NULL |
| @ArunFrey @simongerman600 https://t.co/RnJo2lJGIK looks an amazing resource | replied_to , 1164179057937981441 | 1163916123953401857 | 2019-08-22T12:55:07.000Z | 0, 10, 9, 25, ArunFrey, simongerman600, 2359610046, 359188534 | en | 95226101 | 0 | 1164521379082973185 | FALSE | Twitter Web App | 2359610046 | NULL |
| Fantastic new paper by @ThorayaER and @NeilKetchley. Lots of research recently on positive effects of protest in established democracies but what happens during transitions? Protest --> reduced commitment to democracy, particularly when disruptive... https://t.co/82iTSlHc1K | NULL | 1161934281117184000 | 2019-08-15T09:34:54.000Z | 23, 38, 33, 51, ThorayaER, NeilKetchley, 173770250, 419500182 | en | 95226101 | 0 | 1161934281117184000 | FALSE | Twitter Web App | NA | NULL |
| @FT_DES Ça se déroule où? | replied_to , 1111237916775383040 | 1111237916775383040 | 2019-03-29T11:33:19.000Z | 0, 7, FT_DES, 1497781664 | fr | 95226101 | 0 | 1111592164767739904 | FALSE | Twitter Web Client | 1497781664 | NULL |
| Great opportunity for undergrad. social scientists. Please share widely https://t.co/U89I4tmFOR | quoted , 1108695814921224193 | 1108697390318608385 | 2019-03-21T11:50:31.000Z | NULL | en | 95226101 | 2 | 1108697390318608385 | FALSE | Twitter Web Client | NA | NULL |
| https://t.co/yhGWDgjWyw | replied_to , 1106172937122598912 | 1106172937122598912 | 2019-03-14T12:39:49.000Z | NULL | und | 95226101 | 0 | 1106173081712766976 | FALSE | Twitter for iPhone | 95226101 | 3_1106173076826480640 |
| See graph in replies https://t.co/fm3xkcP74U | quoted , 1106155061108006913 | 1106172937122598912 | 2019-03-14T12:39:14.000Z | NULL | en | 95226101 | 1 | 1106172937122598912 | FALSE | Twitter for iPhone | NA | NULL |
| Have been playing around w this and it's excellent. Includes everything Stata should have included yonks ago: auto-complete in the do-file; viewing results and graphs within same window; easy Jupyter notebook integration (i.e., avoiding use of Stata's clunky dyndoc commands). https://t.co/kwQouK0icR | quoted , 1100227720162598913 | 1101048593669124098 | 2019-02-28T09:16:55.000Z | NULL | en | 95226101 | 0 | 1101048593669124098 | FALSE | Twitter Web Client | NA | NULL |
| @jannisgrimm @MaxGallien @Nadozz @iswerenfelsi @ChantalBerman @SWP_MEA @rmccarthy @MonicaLMarks @iAtefSaid Seconding the suggestions below. Some more names for Tunisia: Mustapha Kraiem, Claude Liauzu, Juliette Bessis, Abdesslem Ben Hamida. This was also a great read IMO: https://t.co/Xt662QJRVv | replied_to , 1090997133342314496 | 1090992878409707521 | 2019-02-01T12:29:41.000Z | 0, 13, 25, 33, 47, 62, 71, 82, 96, 12, 24, 32, 46, 61, 70, 81, 95, 106, jannisgrimm, MaxGallien, Nadozz, iswerenfelsi, ChantalBerman, SWP_MEA, rmccarthy, MonicaLMarks, iAtefSaid, 597730257, 1582622732, 145377954, 253973638, 606433108, 1016258393684742146, 248686895, 301482688, 15884093 | en | 95226101 | 0 | 1091312629916844038 | FALSE | Twitter Web Client | 597730257 | NULL |
| Come one come all (if you're a University Member) to this talk tomorrow by Ignacio Sanchez Cuenca on the historical roots of revolutionary terrorism. Brucie bonus: I'll be discussant. https://t.co/kJhxfL5cGY | NULL | 1086011504619651072 | 2019-01-17T21:24:54.000Z | NULL | en | 95226101 | 0 | 1086011504619651072 | FALSE | Twitter Web Client | NA | NULL |
| @DanielTavana @SSRN @socarxiv SSRN was bought by Elsevier (https://t.co/uSqxOK2CcA)... SocArxiv is also a lot quicker to accept (I've waited >2 weeks in past for SSRN whereas SocArxiv takes normally less than a day) | replied_to , 1076839893253406723 | 1076839893253406723 | 2018-12-23T14:24:12.000Z | 0, 14, 20, 13, 19, 29, danieltavana, SSRN, socarxiv, 576559805, 27707859, 726552444625408000 | en | 95226101 | 0 | 1076845937312583681 | FALSE | Twitter Web Client | 576559805 | NULL |
| Coverage in @HuffPostMaghreb for my article with @NeilKetchley on protest and ISIS recruitment in #Tunisia #تونس https://t.co/Fgw3EVc1oN | NULL | 1075073757696409602 | 2018-12-18T17:02:12.000Z | 49, 62, NeilKetchley, 419500182 | en | 95226101 | 1 | 1075073757696409602 | FALSE | Twitter Web Client | NA | NULL |
| If you see anyone sleeping rough, let them know beds are being allocated between 9-9.30pm at O’Hanlon House, Luther Street (off Abingdon Rd.) https://t.co/7WOPYpBtP7 | quoted , 1073215296058605573 | 1073242990385250306 | 2018-12-13T15:47:23.000Z | NULL | en | 95226101 | 2 | 1073242990385250306 | FALSE | Twitter for iPhone | NA | NULL |
| @imhartshorn @NeilKetchley @monkeycageblog @ChantalBerman Thanks for your comments, Ian! As you note above, Tunisia sees pretty permissible protest culture so I'd say better to approach from organizational side. Repression of protest minimal. Variation is in availability of e.g. protest groups/unions subnationally. | replied_to , 1072277327793405953 | 1072134435083046912 | 2018-12-11T10:00:09.000Z | 0, 13, 27, 43, 12, 26, 42, 57, imhartshorn, NeilKetchley, monkeycageblog, ChantalBerman, 18502702, 419500182, 116630713, 606433108 | en | 95226101 | 0 | 1072430831308865536 | FALSE | Twitter Web Client | 18502702 | NULL |
| RT @monkeycageblog: Protesting might help keep young males from joining #ISIS, @NeilKetchley and @cbarrie explain. https://t.co/X8oI2ejsCQ | retweeted , 1072250512089718788 | 1072256193605832704 | 2018-12-10T22:26:12.000Z | 3, 79, 98, 18, 92, 106, monkeycageblog, NeilKetchley, cbarrie, 116630713, 419500182, 95226101 | en | 95226101 | 8 | 1072256193605832704 | FALSE | Twitter Web Client | NA | NULL |
| In this new @monkeycageblog post, @NeilKetchley and I ask whether the availability of protest as a means of channeling discontent can curb the rise of ISIS in Tunisia https://t.co/OJuqWhitQ8 | NULL | 1072132409783713792 | 2018-12-10T14:14:20.000Z | 12, 34, 27, 47, monkeycageblog, NeilKetchley, 116630713, 419500182 | en | 95226101 | 3 | 1072132409783713792 | FALSE | Twitter Web Client | NA | NULL |
| RT @benwansell: Following up on last night's tweets about this and how to think about hypotheticals in surveys - for Remainers imagine how… | retweeted , 1070590372152270848 | 1070641013969092609 | 2018-12-06T11:28:03.000Z | 3, 14, benwansell, 70769707 | en | 95226101 | 49 | 1070641013969092609 | FALSE | Twitter Web Client | NA | NULL |
| Source material here https://t.co/HellhmdYDz https://t.co/WHqsoRuwWL | quoted , 1067749460384653312 | 1067749554907340801 | 2018-11-28T11:58:26.000Z | NULL | en | 95226101 | 0 | 1067749554907340801 | FALSE | Twitter Web Client | NA | NULL |
| Interesting new work mapping violence in medieval London using Reginald Sharpe's "Calendar of Coroners Rolls" https://t.co/JADhTuLaeN | NULL | 1067749460384653312 | 2018-11-28T11:58:03.000Z | NULL | en | 95226101 | 0 | 1067749460384653312 | FALSE | Twitter Web Client | NA | NULL |
| @lschiume @NuffieldCollege @SociologyOxford See you there! | replied_to , 1067401008698064896 | 1067003215214985216 | 2018-11-27T13:39:39.000Z | 0, 10, 27, 9, 26, 43, lschiume, NuffieldCollege, SociologyOxford, 3179780614, 2318651209, 1933669016 | en | 95226101 | 0 | 1067412638278275072 | FALSE | Twitter Web Client | 3179780614 | NULL |
| RT @nickchk: I've been getting used to gganimate and thought it would be useful to put together some illustrations of what various causal i… | retweeted , 1067136325751529472 | 1067147949677907976 | 2018-11-26T20:07:52.000Z | 3, 11, nickchk, 204196157 | en | 95226101 | 1283 | 1067147949677907976 | FALSE | Twitter for iPhone | NA | NULL |
| Very very happy to announce I’ll be continuing @NuffieldCollege in the Department of @SociologyOxford as Postdoctoral Prize Research Fellow! | NULL | 1067003215214985216 | 2018-11-26T10:32:45.000Z | 47, 85, 63, 101, NuffieldCollege, SociologyOxford, 2318651209, 1933669016 | en | 95226101 | 0 | 1067003215214985216 | FALSE | Twitter for iPhone | NA | NULL |
| RT @MedDhiaH: The two parliamentary blocs of Nidaa Tounes and Machrou’ Tounes, both affiliated to the old regime, decided to boycott and le… | retweeted , 1055429028868509697 | 1055451625282826240 | 2018-10-25T13:30:51.000Z | 3, 12, MedDhiaH, 167835170 | en | 95226101 | 31 | 1055451625282826240 | FALSE | Twitter Web Client | NA | NULL |
| @MedDhiaH Thanks! | replied_to , 1054979971725357061 | 1054828235765227520 | 2018-10-24T07:36:15.000Z | 0, 9, MedDhiaH, 167835170 | en | 95226101 | 0 | 1055000000021831680 | FALSE | Twitter Web Client | 167835170 | NULL |
| @MedDhiaH Know anywhere we can read copies of the papers? | replied_to , 1054828235765227520 | 1054828235765227520 | 2018-10-24T06:14:33.000Z | 0, 9, MedDhiaH, 167835170 | en | 95226101 | 0 | 1054979437979148289 | FALSE | Twitter Web Client | 167835170 | NULL |
| @ridhikash07 @UNDataForum @SociologyOxford @QatarComputing @ingmarweber @MFatehkia @Data2X @georgiabaz | replied_to , 1054317821860163584 | 1054317821860163584 | 2018-10-22T12:20:52.000Z | 0, 13, 26, 43, 59, 72, 83, 91, 12, 25, 42, 58, 71, 82, 90, 102, ridhikash07, UNDataForum, SociologyOxford, QatarComputing, ingmarweber, MFatehkia, Data2X, georgiabaz, 3322905424, 764100824423362562, 1933669016, 635986661, 547871798, 1016740740037259264, 2548686548, 2445395226 | und | 95226101 | 0 | 1054346848981389315 | FALSE | Twitter Web Client | 3322905424 | NULL |
| RT @AlBawsalaTN: Le Mercato de l'@ARPtn pour la cinquième session parlementaire est enfin là. Pour consulter les migrations de vos élu.e.s… | retweeted , 1050479674797817858 | 1050674687687028742 | 2018-10-12T09:09:00.000Z | 3, 33, 15, 39, AlBawsalaTN, ARPtn, 545149035, 2274410504 | fr | 95226101 | 15 | 1050674687687028742 | FALSE | Twitter Web Client | NA | NULL |
| @MaxGallien @MedDhiaH @NeilKetchley may be open to your outsourcing labour for the construction of shapefiles to him... I hear he's not bad at this historical GIS lark | replied_to , 1050101224261996545 | 1050070139922784257 | 2018-10-11T11:22:49.000Z | 0, 12, 22, 11, 21, 35, MaxGallien, MedDhiaH, NeilKetchley, 1582622732, 167835170, 419500182 | en | 95226101 | 0 | 1050345976542711809 | FALSE | Twitter Web Client | 1582622732 | NULL |
| @rmccarthy @CUP_PoliSci Congratulations! | replied_to , 1050306872186728448 | 1050306872186728448 | 2018-10-11T09:05:39.000Z | 0, 11, 10, 23, rmccarthy, CUP_PoliSci, 248686895, 262846232 | en | 95226101 | 0 | 1050311454056943616 | FALSE | Twitter Web Client | 248686895 | NULL |
| RT @rmccarthy: My new book is out - Inside Tunisia's al-Nahda: Between Politics and Preaching with @CUP_PoliSci. Read how al-Nahda has tran… | retweeted , 1050306872186728448 | 1050311310712496128 | 2018-10-11T09:05:04.000Z | 3, 99, 13, 111, rmccarthy, CUP_PoliSci, 248686895, 262846232 | en | 95226101 | 17 | 1050311310712496128 | FALSE | Twitter Web Client | NA | NULL |
| @MaxGallien @MedDhiaH I can't do any better than the above! I have contemporary shapefiles and nothing else... if you have detailed enough maps from the period you're interested in then you can make them yourself in QGIS, however: https://t.co/hRSMmQCITN | replied_to , 1050070139922784257 | 1050070139922784257 | 2018-10-10T18:28:23.000Z | 0, 12, 11, 21, MaxGallien, MedDhiaH, 1582622732, 167835170 | en | 95226101 | 0 | 1050090682831003648 | FALSE | Twitter Web Client | 1582622732 | NULL |
| @steventbrooke joined! | replied_to , 1047605241301151744 | 1047605241301151744 | 2018-10-04T13:06:30.000Z | 0, 14, steventbrooke, 368687858 | en | 95226101 | 0 | 1047835353460211715 | FALSE | Twitter Web Client | 368687858 | NULL |
| RT @robinlovelace: Just entered @rstudio's bookdown competition with Geocomputation with R. If you like our #opensource book (source code:… | retweeted , 1046390226212585472 | 1046406427374497793 | 2018-09-30T14:28:28.000Z | 3, 32, 17, 40, robinlovelace, rstudio, 80250475, 235261861 | en | 95226101 | 123 | 1046406427374497793 | FALSE | Twitter Web Client | NA | NULL |
| @jannisgrimm Found it https://t.co/0erERS7bZn | replied_to , 1044215552355512326 | 1044183120751333376 | 2018-09-24T13:26:21.000Z | 0, 12, jannisgrimm, 597730257 | en | 95226101 | 0 | 1044216467154235392 | FALSE | Twitter Web Client | 597730257 | NULL |
| A new global protest/conflict event dataset using v. large text corpus was released recently and I cannot remember the name of it and where to find it–anyone on here know which one I'm talking about? Or was I imagining this? | NULL | 1044183120751333376 | 2018-09-24T11:13:50.000Z | NULL | en | 95226101 | 1 | 1044183120751333376 | FALSE | Twitter Web Client | NA | NULL |
| RT @ClaptonCFC: We;re holding a food bank collection at Saturday's game against @huttonfc for the charity @EatOrHeat. Attached is a list… | retweeted , 1042107791526248448 | 1043426643937841152 | 2018-09-22T09:07:52.000Z | 3, 80, 106, 14, 89, 116, ClaptonCFC, huttonfc, EatOrHeat, 1622247943, 381596450, 420984812 | en | 95226101 | 34 | 1043426643937841152 | FALSE | Twitter Web Client | NA | NULL |
| RT @rstudio: Announcing Radix, a new R Markdown format for web-native scientific and technical writing: https://t.co/mVSkWlSMjA #rstats #rm… | retweeted , 1042436248693104642 | 1042445807054712835 | 2018-09-19T16:10:22.000Z | 3, 11, rstudio, 235261861 | en | 95226101 | 340 | 1042445807054712835 | FALSE | Twitter Web Client | NA | NULL |
| RT @JohnBorghi: FYI: You can search for datasets using Google now. https://t.co/AI3wDpfIgR | retweeted , 1037382540800155648 | 1037450269267841024 | 2018-09-05T21:19:53.000Z | 3, 14, JohnBorghi, 731360706 | en | 95226101 | 853 | 1037450269267841024 | FALSE | Twitter Web Client | NA | NULL |
| RT @symbolixAU: Evening #rstats , I've started writing a new package, RcppViridis, to map colours to variables (and do it quick)! All func… | retweeted , 1037300146709491714 | 1037307856012365824 | 2018-09-05T11:53:59.000Z | 3, 14, symbolixAU, 1309056440 | en | 95226101 | 10 | 1037307856012365824 | FALSE | Twitter Web Client | NA | NULL |
| @SheenaGreitens @benwansell @rorytruex @TomPepinsky V useful for scholars of the MENA too. Discussions w/ colleagues at APSA recently re need for organized body of region specialist social scientists to advise home institutions on feasibility/safety of projected work. Current advice, partic. re Egypt, is avoidance of any fieldwork | replied_to , 1037008460838313986 | 1037007724511416326 | 2018-09-04T16:24:16.000Z | 0, 16, 28, 39, 15, 27, 38, 51, SheenaGreitens, benwansell, rorytruex, TomPepinsky, 4750866546, 70769707, 947043018, 489336176 | en | 95226101 | 0 | 1037013484926582789 | FALSE | Twitter Web Client | 4750866546 | NULL |
| @rmkubinec Sounds good! Let’s organise on DM | replied_to , 1035227789727866886 | 1035183793634729984 | 2018-08-30T21:00:24.000Z | 0, 10, rmkubinec, 4149978441 | en | 95226101 | 0 | 1035271037318045697 | FALSE | Twitter for iPhone | 4149978441 | NULL |
| It’s at 12 today! https://t.co/hBt2GXW1UV | quoted , 1035181412595507205 | 1035183793634729984 | 2018-08-30T15:13:43.000Z | NULL | en | 95226101 | 0 | 1035183793634729984 | FALSE | Twitter for iPhone | NA | NULL |
| Come to our panel on new methods in study of protest if you’re at #APSA2018. I’ll be presenting new data and analysis of Tunisian Revolution https://t.co/TStricGNfb | NULL | 1035181412595507205 | 2018-08-30T15:04:16.000Z | NULL | en | 95226101 | 1 | 1035181412595507205 | FALSE | Twitter for iPhone | NA | NULL |
| Every now and then I am confused with Rimmer (Chris Barrie) from Red Dwarf. If you want my opinion, Leon Potsky, I think I’d make a great Bond. https://t.co/sb7liGRD7O | NULL | 1032574567871602688 | 2018-08-23T10:25:35.000Z | NULL | en | 95226101 | 0 | 1032574567871602688 | FALSE | Twitter for iPhone | NA | NULL |
| RT @rmkubinec: To my colleagues doing research in the Middle East, esp. in political economy, there will be a research cafe #APSA2018 with… | retweeted , 1031546310707556357 | 1031579942583250944 | 2018-08-20T16:33:18.000Z | 3, 13, rmkubinec, 4149978441 | en | 95226101 | 5 | 1031579942583250944 | FALSE | Twitter for iPhone | NA | NULL |
| RT @jadaliyya: Roundup of Social Science Calls for the Arab Region (13 August 2018) #CallforPapers #CallforApplications https://t.co/xACqa… | retweeted , 1030106950917341185 | 1030109509413429248 | 2018-08-16T15:10:20.000Z | 3, 13, jadaliyya, 174329465 | en | 95226101 | 1 | 1030109509413429248 | FALSE | Twitter Web Client | NA | NULL |
| @michaelhoffman @drob APSR one of few examples I can think of. See https://t.co/UStKK7DTDd ("Editors may desk reject submissions of manuscripts by authors who repeatedly fail to provide invited reviews") | replied_to , 1029855482100572160 | 1029739518348455937 | 2018-08-16T08:18:26.000Z | 0, 16, 15, 21, michaelhoffman, drob, 14897792, 46245868 | en | 95226101 | 0 | 1030005852890181632 | FALSE | Twitter Web Client | 14897792 | NULL |
| @drob Some journals specify that they will not consider submissions from authors who have consistently turned down review requests. Whether this happens in reality is another question. | replied_to , 1029739518348455937 | 1029739518348455937 | 2018-08-15T14:50:27.000Z | 0, 5, drob, 46245868 | en | 95226101 | 0 | 1029742120012275712 | FALSE | Twitter Web Client | 46245868 | NULL |
| https://t.co/kD2peuTavS | replied_to , 1027872905558929408 | 1027872002437246976 | 2018-08-10T11:05:06.000Z | NULL | und | 95226101 | 1 | 1027873468170358784 | FALSE | Twitter Web Client | 95226101 | 3_1027873360112480256, 3_1027873359974080514, 3_1027873359986614272 |
| Theoretical and methodological implications: theoretically, we need to redirect attention to mechanisms generative of mass protest rather than e.g. static measures of development; methodologically, need to pay attention to temporal dynamics and properly disaggregate outcome var. | replied_to , 1027872346349166593 | 1027872002437246976 | 2018-08-10T11:02:52.000Z | NULL | en | 95226101 | 0 | 1027872905558929408 | FALSE | Twitter Web Client | 95226101 | NULL |
| Using an original event catalogue alongside survey data, I argue that cross-sectional analyses that treat revolutionary protest and participation as unitary phenomena fail to account for endogenous emergence of democratic demands | replied_to , 1027872002437246976 | 1027872002437246976 | 2018-08-10T11:00:38.000Z | NULL | en | 95226101 | 0 | 1027872346349166593 | FALSE | Twitter Web Client | 95226101 | NULL |
| In advance of #APSA2018 here is the latest version of the work I'll be presenting: The Process of Revolutionary Protest: Development and Democracy in the Tunisia Revolution of 2010-2011 https://t.co/MmntL4yRR0 | NULL | 1027872002437246976 | 2018-08-10T10:59:16.000Z | NULL | en | 95226101 | 5 | 1027872002437246976 | FALSE | Twitter Web Client | NA | NULL |
| @ariel_ahram Yes, as I note in the article, Arabism v. much tethered to Sunnism. Striking nonetheless that we see significant subethnic heterogeneity (among Sunnis) in identity responses... some Sunnis (in tribal regions) did rally behind nation | replied_to , 1027542060499431424 | 1027465921303113728 | 2018-08-09T13:58:29.000Z | 0, 12, ariel_ahram, 2316064368 | en | 95226101 | 0 | 1027554714177744898 | FALSE | Twitter Web Client | 2316064368 | NULL |
| First systematic evidence of endogenous identity shifts within a conflict cycle. Points to identity not as deep-seated but responsive to contingencies of conflict outbreak. Lessons for peace building in wake of Islamist-led conflict. | replied_to , 1027467356895895552 | 1027465921303113728 | 2018-08-09T08:13:38.000Z | NULL | en | 95226101 | 0 | 1027467928264945664 | FALSE | Twitter Web Client | 95226101 | NULL |
| However, in areas w/ cross-cutting organizational structures, and where threat commonly perceived (tribal regions), Sunnis rally behind common national identity. | replied_to , 1027467113533976577 | 1027465921303113728 | 2018-08-09T08:11:21.000Z | NULL | en | 95226101 | 0 | 1027467356895895552 | FALSE | Twitter Web Client | 95226101 | NULL |
| Findings: Shi'is rally behind nation while Sunnis cleave to Arab identity. Results explicable according to differences in threat perception: Sunnis fear civil war in wake of Shi'i militia mobilization, while Shi'is respond most strongly to external threat of war. | replied_to , 1027465921303113728 | 1027465921303113728 | 2018-08-09T08:10:23.000Z | NULL | en | 95226101 | 0 | 1027467113533976577 | FALSE | Twitter Web Client | 95226101 | NULL |
| New working paper on identity dynamics in #Iraq after fall of Mosul to ISIS using natural experiment setup. https://t.co/JHoOVGr0rt | NULL | 1027465921303113728 | 2018-08-09T08:05:39.000Z | NULL | en | 95226101 | 9 | 1027465921303113728 | FALSE | Twitter Web Client | NA | NULL |
| RT @symbolixAU: As promised, use `mapdeck_view()` to 'fly' to a new location #rstats #mapdeck #dataviz #gis https://t.co/27KjzT8Zhj | retweeted , 1024601289244602368 | 1024636160600096769 | 2018-08-01T12:41:12.000Z | 3, 14, symbolixAU, 1309056440 | en | 95226101 | 9 | 1024636160600096769 | FALSE | Twitter Web Client | NA | 16_1024601164208168960 |
| “Too many of the people who want something better seem to have mislaid a pretty basic insight: that you find the key to a world beyond Trump, Brexit and our grim version of capitalism not by narcissistically shouting into the void” https://t.co/jOhS1KuNWw | quoted , 1021293491761098757 | 1021305372106264576 | 2018-07-23T08:05:50.000Z | NULL | en | 95226101 | 0 | 1021305372106264576 | FALSE | Twitter for iPhone | NA | NULL |
| RT @kinggary: "Mining Facebook data for science" https://t.co/Vksr09RzYU | retweeted , 1017128309593911296 | 1017418054483914753 | 2018-07-12T14:39:01.000Z | 3, 12, kinggary, 29354944 | en | 95226101 | 33 | 1017418054483914753 | FALSE | Twitter Web Client | NA | NULL |
| RT @KingsDMES: "Opportunity without Organisation: Labor Mobilization in Egypt after the 25th January Revolution". King's @NeilKetchley writ… | retweeted , 1014519410575462400 | 1014530237718200322 | 2018-07-04T15:23:52.000Z | 121, 134, NeilKetchley, 419500182 | en | 95226101 | 6 | 1014530237718200322 | FALSE | Twitter Web Client | NA | NULL |
| New paper now out w/ @NeilKetchley. Post-revolutionary labour protest in Egypt subsumed within broader protest wave; took cues from nearby protest; struggled to influence transitional process. Lessons on protest in contexts of disorganization https://t.co/Xt662QJRVv | NULL | 1014173405418082310 | 2018-07-03T15:45:56.000Z | 21, 34, NeilKetchley, 419500182 | en | 95226101 | 7 | 1014173405418082310 | FALSE | Twitter Web Client | NA | NULL |
| RT @MAliKadivar: In this new @SociusJournal article, @NeilKetchley & I introduce the concept of unarmed violence, and argue that in contras… | retweeted , 1004051801627287554 | 1004054087187431424 | 2018-06-05T17:35:23.000Z | 3, 29, 53, 15, 43, 66, MAliKadivar, SociusJournal, NeilKetchley, 983978676, 3642336197, 419500182 | en | 95226101 | 6 | 1004054087187431424 | FALSE | Twitter for iPhone | NA | NULL |
| A useful teaching example for why the denominator matters... I still won't be watching. https://t.co/sKKI58XsZj | NULL | 1004044231906742273 | 2018-06-05T16:56:13.000Z | NULL | en | 95226101 | 0 | 1004044231906742273 | FALSE | Twitter Web Client | NA | NULL |
| @MedDhiaH Interesting, thanks! | replied_to , 1003725815203364864 | 1003640414312849408 | 2018-06-05T09:05:49.000Z | 0, 9, MedDhiaH, 167835170 | en | 95226101 | 0 | 1003925852483178496 | FALSE | Twitter Web Client | 167835170 | NULL |
| @MedDhiaH Out of interest, where do you get the figure of 4.4k strikes in 11y under Ben Ali? | replied_to , 1003640414312849408 | 1003640414312849408 | 2018-06-04T17:50:57.000Z | 0, 9, MedDhiaH, 167835170 | en | 95226101 | 0 | 1003695616923439104 | FALSE | Twitter Web Client | 167835170 | NULL |
| RT @KingsDMES: Watch out for exciting spotlight panels at #BRISMES2018 conference @KingsDMES later this month - including "New Approaches t… | retweeted , 1003611215615152133 | 1003687319893938176 | 2018-06-04T17:17:59.000Z | NULL | en | 95226101 | 5 | 1003687319893938176 | FALSE | Twitter Web Client | NA | NULL |
| RT @KingsDMES: Join us in congratulating @KingsDMES colleague @NeilKetchley, whose book Egypt in a Time of Revolution is co-winner of the 2… | retweeted , 1001841541676232704 | 1001856003355369473 | 2018-05-30T16:00:59.000Z | NULL | en | 95226101 | 17 | 1001856003355369473 | FALSE | Twitter for iPhone | NA | NULL |
| RT @SociologyOxford: Looking for a funded DPhil place at @OxfordGradStudy? Interested in how Family Size Matters in the reproduction of soc… | retweeted , 999951340498452480 | 999953341781364736 | 2018-05-25T10:00:29.000Z | 3, 57, 19, 73, SociologyOxford, OxfordGradStudy, 1933669016, 213704450 | en | 95226101 | 6 | 999953341781364736 | FALSE | Twitter Web Client | NA | NULL |
| New blog post: younger electorates more likely to support independent lists and less likely to vote for established political parties in Tunisian Municipal Elections #TnMunicipales18 @Data4tunisia @cahiers_liberte @OpenGovTN https://t.co/7uWMlYIpwR https://t.co/BDQLyIKbHC | NULL | 999201190142529541 | 2018-05-23T08:11:42.000Z | 183, 197, 214, 196, 213, 224, Data4tunisia, cahiers_liberte, OpenGovTN, 846048633049010176, 268220695, 430814570 | en | 95226101 | 5 | 999201190142529541 | FALSE | Twitter Web Client | NA | 3_999201156361437184 |
| Update on original post testing alternative measure of political competition: https://t.co/Has4ZQLVsp | replied_to , 997513162667773952 | 997513162667773952 | 2018-05-21T14:43:11.000Z | NULL | en | 95226101 | 0 | 998574933738336256 | FALSE | Twitter Web Client | 95226101 | NULL |
| @Data4tunisia @cahiers_liberte @OpenGovTN Yep, have added note in turnout data description to clarify usage. Keep up the great work! | replied_to , 997566262711672834 | 997513162667773952 | 2018-05-18T19:58:03.000Z | 0, 14, 31, 13, 30, 41, Data4tunisia, cahiers_liberte, OpenGovTN, 846048633049010176, 268220695, 430814570 | en | 95226101 | 0 | 997567010920943617 | FALSE | Twitter Web Client | 846048633049010176 | NULL |
| @Data4tunisia @cahiers_liberte @OpenGovTN Réutilisation: https://t.co/QlCIJeyojg Données: https://t.co/AXqmzo1H91 :) | replied_to , 997549825209126912 | 997513162667773952 | 2018-05-18T19:52:51.000Z | 0, 14, 31, 13, 30, 41, Data4tunisia, cahiers_liberte, OpenGovTN, 846048633049010176, 268220695, 430814570 | fr | 95226101 | 1 | 997565701002006529 | FALSE | Twitter Web Client | 846048633049010176 | NULL |
| @Data4tunisia @cahiers_liberte @OpenGovTN Compris! | replied_to , 997549825209126912 | 997513162667773952 | 2018-05-18T19:05:11.000Z | 0, 14, 31, 13, 30, 41, Data4tunisia, cahiers_liberte, OpenGovTN, 846048633049010176, 268220695, 430814570 | es | 95226101 | 0 | 997553704172707842 | FALSE | Twitter for iPhone | 846048633049010176 | NULL |
| @Data4tunisia @cahiers_liberte @OpenGovTN Please do share on website! | replied_to , 997527800415432704 | 997513162667773952 | 2018-05-18T18:06:59.000Z | 0, 14, 31, 13, 30, 41, Data4tunisia, cahiers_liberte, OpenGovTN, 846048633049010176, 268220695, 430814570 | en | 95226101 | 0 | 997539056845295616 | FALSE | Twitter for iPhone | 846048633049010176 | NULL |
| “Youth and competition boost turnout in Tunisian Municipal Elections” https://t.co/5pIOGXWS9D | NULL | 997519838791852034 | 2018-05-18T16:50:37.000Z | NULL | en | 95226101 | 0 | 997519838791852034 | FALSE | Twitter Web Client | NA | NULL |
| New blog post: Younger electorates and municipalities with more political competition see increased turnout in #TnMunicipales18. Thanks to @cahiers_liberte, @OpenGovTN, and @Data4tunisia for their efforts compiling this data! https://t.co/Has4ZQukAR https://t.co/Pns4nKe8fg | NULL | 997513162667773952 | 2018-05-18T16:24:05.000Z | 139, 157, 173, 155, 167, 186, cahiers_liberte, OpenGovTN, Data4tunisia, 268220695, 430814570, 846048633049010176 | en | 95226101 | 3 | 997513162667773952 | FALSE | Twitter Web Client | NA | 3_997513023504891904, 3_997513075090644992 |
| RT @SociologyOxford: This Monday @kta_nc will speak on ‘Cultural, Disruptive, and Organizational Sources of Movement Power’ for our Lunchti… | retweeted , 997397356642521088 | 997446730785415168 | 2018-05-18T12:00:06.000Z | 3, 33, 19, 40, SociologyOxford, kta_nc, 1933669016, 61905793 | en | 95226101 | 2 | 997446730785415168 | FALSE | Twitter Web Client | NA | NULL |
| @nizarus See e.g. the rather bloated representation of the UK in this example https://t.co/gw7uyrVZrn | replied_to , 996746794095792128 | 994541882440060928 | 2018-05-16T13:47:05.000Z | 0, 8, nizarus, 74883907 | en | 95226101 | 0 | 996748878065160192 | FALSE | Twitter Web Client | 74883907 | 3_996748806346637312 |
| @nizarus It still is, yes! There is trade off, I suppose, between being able to make out small delegations (e.g., in Tunis) and retaining the original geographical borders of Tunisia. | replied_to , 996746794095792128 | 994541882440060928 | 2018-05-16T13:42:49.000Z | 0, 8, nizarus, 74883907 | en | 95226101 | 0 | 996747802242945026 | FALSE | Twitter Web Client | 74883907 | NULL |
| RT @nils_weidmann: If you’re looking for geo-coded subnational administrative boundaries (provinces), check out the new pshapes project by… | retweeted , 996095138186358784 | 996335187213549568 | 2018-05-15T10:23:14.000Z | 3, 17, nils_weidmann, 829960740131966976 | en | 95226101 | 26 | 996335187213549568 | FALSE | Twitter Web Client | NA | NULL |
| @Data4tunisia @Nabil_majoul @NewsTarga @cahiers_liberte @trojette @hatem @Firas_Abid Merci! Ca marche | replied_to , 995721417789509632 | 994879303346159616 | 2018-05-13T18:17:27.000Z | 0, 14, 28, 39, 56, 66, 73, 13, 27, 38, 55, 65, 72, 84, Data4tunisia, Nabil_majoul, NewsTarga, cahiers_liberte, trojette, hatem, Firas_Abid, 846048633049010176, 14659098, 524237826, 268220695, 1098739406998044673, 2206481, 122912928 | fr | 95226101 | 0 | 995729753431789568 | FALSE | Twitter Web Client | 846048633049010176 | NULL |
| @Nabil_majoul @NewsTarga @cahiers_liberte @Data4tunisia @trojette @hatem @Firas_Abid Le fichier Tunisian_municipality.geojson semble ne pas marcher... avez-vous une autre version? | replied_to , 995655490033127424 | 994879303346159616 | 2018-05-13T17:43:07.000Z | 0, 14, 25, 42, 56, 66, 73, 13, 24, 41, 55, 65, 72, 84, Nabil_majoul, NewsTarga, cahiers_liberte, Data4tunisia, trojette, hatem, Firas_Abid, 14659098, 524237826, 268220695, 846048633049010176, 1098739406998044673, 2206481, 122912928 | fr | 95226101 | 0 | 995721111877963778 | FALSE | Twitter Web Client | 14659098 | NULL |
| @Nabil_majoul @NewsTarga @cahiers_liberte @Data4tunisia @trojette @hatem @Firas_Abid Merci! | replied_to , 995655490033127424 | 994879303346159616 | 2018-05-13T15:06:55.000Z | 0, 14, 25, 42, 56, 66, 73, 13, 24, 41, 55, 65, 72, 84, Nabil_majoul, NewsTarga, cahiers_liberte, Data4tunisia, trojette, hatem, Firas_Abid, 14659098, 524237826, 268220695, 846048633049010176, 1098739406998044673, 2206481, 122912928 | fr | 95226101 | 0 | 995681802009415682 | FALSE | Twitter for iPhone | 14659098 | NULL |
| @Nabil_majoul @NewsTarga @cahiers_liberte @Data4tunisia @trojette @hatem @Firas_Abid Une question de plus: auriez-vous un shapefile des ~350 municipalités? Je n'en ai que des delegations ... | replied_to , 994882523191828481 | 994879303346159616 | 2018-05-13T13:14:44.000Z | 0, 14, 25, 42, 56, 66, 73, 13, 24, 41, 55, 65, 72, 84, Nabil_majoul, NewsTarga, cahiers_liberte, Data4tunisia, trojette, hatem, Firas_Abid, 14659098, 524237826, 268220695, 846048633049010176, 1098739406998044673, 2206481, 122912928 | fr | 95226101 | 0 | 995653573387149312 | FALSE | Twitter Web Client | 14659098 | NULL |
| @Data4tunisia I will be making it public when fully clean! | replied_to , 994887417458028544 | 994541882440060928 | 2018-05-11T20:54:15.000Z | 0, 13, Data4tunisia, 846048633049010176 | en | 95226101 | 0 | 995044437519675393 | FALSE | Twitter Web Client | 846048633049010176 | NULL |
| Solved! Problem was with non-character class of common identifier | replied_to , 994819321129046016 | 994819321129046016 | 2018-05-11T10:50:35.000Z | NULL | en | 95226101 | 0 | 994892519640125440 | FALSE | Twitter Web Client | 95226101 | NULL |
| @Nabil_majoul @NewsTarga @cahiers_liberte @Data4tunisia @trojette @hatem @Firas_Abid Bravo! Est-ce que vous seriez prêt à partager les données globalisées (utilisées pour les cartes)? Je suis conscient que les données crues sont disponibles @ crowd.data4tunisia | replied_to , 994879303346159616 | 994879303346159616 | 2018-05-11T10:07:25.000Z | 0, 14, 25, 42, 56, 66, 73, 13, 24, 41, 55, 65, 72, 84, Nabil_majoul, NewsTarga, cahiers_liberte, Data4tunisia, trojette, hatem, Firas_Abid, 14659098, 524237826, 268220695, 846048633049010176, 1098739406998044673, 2206481, 122912928 | fr | 95226101 | 0 | 994881656820502528 | FALSE | Twitter Web Client | 14659098 | NULL |
| @cahiers_liberte @Data4tunisia @trojette @abderrahmen_g @Nabil_majoul @hatem Bravo! | replied_to , 993897723073060864 | 993897723073060864 | 2018-05-11T06:02:21.000Z | 0, 17, 31, 41, 56, 70, 16, 30, 40, 55, 69, 76, cahiers_liberte, Data4tunisia, trojette, abderrahmen_g, Nabil_majoul, hatem, 268220695, 846048633049010176, 1098739406998044673, 457855307, 14659098, 2206481 | pt | 95226101 | 0 | 994819983250206721 | FALSE | Twitter Web Client | 268220695 | NULL |
| Any help from the #rstats community would be v welcome on this one https://t.co/zwHDN1Mf9w #rstats #shiny | NULL | 994819321129046016 | 2018-05-11T05:59:43.000Z | NULL | en | 95226101 | 1 | 994819321129046016 | FALSE | Twitter Web Client | NA | NULL |
| RT @cahiers_liberte: Bilan : en moins de 48h, plus d’une 100aine de contributeurs à https://t.co/MAt8o61fXT a établi la 1re base des résu… | retweeted , 993897723073060864 | 994657154916286465 | 2018-05-10T19:15:20.000Z | 3, 19, cahiers_liberte, 268220695 | fr | 95226101 | 38 | 994657154916286465 | FALSE | Twitter Web Client | NA | NULL |
| “Mapping the Tunisian Revolution in R” https://t.co/4xxrCHVdS1 | NULL | 994614728147243010 | 2018-05-10T16:26:44.000Z | NULL | en | 95226101 | 6 | 994614728147243010 | FALSE | Twitter Web Client | NA | NULL |
| First post on my new website! How to make hexmaps (including troubleshooting) with an example mapping protest diffusion in the Tunisian Revolution #rstats #blogdown #GIS https://t.co/ZlaB5MurCh https://t.co/eBHDHEFTfq | NULL | 994541882440060928 | 2018-05-10T11:37:17.000Z | NULL | en | 95226101 | 15 | 994541882440060928 | FALSE | Twitter Web Client | NA | 16_994541827817725957 |
| Any help from the #rstats community with this #shiny #leaflet query would be v welcome! https://t.co/itOxSxfpkf | NULL | 990899250094661632 | 2018-04-30T10:22:45.000Z | NULL | en | 95226101 | 1 | 990899250094661632 | FALSE | Twitter Web Client | NA | NULL |
| Any help with the question below much appreciated! #rstats #shiny https://t.co/MQX7XuHSQi | NULL | 989165018724929536 | 2018-04-25T15:31:32.000Z | NULL | en | 95226101 | 0 | 989165018724929536 | FALSE | Twitter Web Client | NA | NULL |
| @MedDhiaH @PresidenceTn Any word on when/if the final list will be made public? | replied_to , 980821345972912128 | 980821345972912128 | 2018-04-02T15:00:23.000Z | 0, 10, 9, 23, MedDhiaH, PresidenceTN, 167835170, 1329140115734728707 | en | 95226101 | 0 | 980822258066382849 | FALSE | Twitter Web Client | 167835170 | NULL |
| RT @benwansell: Right now, being the Professor of Comparative Democratic Institutions at the University of Oxford feels pretty ironic. Cong… | retweeted , 971041138508525568 | 971112763941707776 | 2018-03-06T19:58:19.000Z | 3, 14, benwansell, 70769707 | en | 95226101 | 163 | 971112763941707776 | FALSE | Twitter Web Client | NA | NULL |
| RT @DrSophieSmith: Ahead of an important meeting of Oxford's governing body today about the changes to #USS pensions, and after a disappoin… | retweeted , 970968884546240512 | 971070658972090369 | 2018-03-06T17:11:01.000Z | 3, 17, DrSophieSmith, 57706523 | en | 95226101 | 17 | 971070658972090369 | FALSE | Twitter Web Client | NA | NULL |
| RT @NeilKetchley: Part 1 of my new book project with @steventbrooke in #APSR on social and institutional origins of political Islam: https:… | retweeted , 961215725791739904 | 961233991851495424 | 2018-02-07T13:43:37.000Z | 3, 53, 16, 67, NeilKetchley, steventbrooke, 419500182, 368687858 | en | 95226101 | 9 | 961233991851495424 | FALSE | Twitter for iPhone | NA | NULL |
| RT @aronlund: Wow, this looks like an absolutely fantastic research resource: Syrian Prints, a free, searchable digital archive of some 300… | retweeted , 958474328215113729 | 958505909323431936 | 2018-01-31T01:03:11.000Z | 3, 12, aronlund, 431648445 | en | 95226101 | 86 | 958505909323431936 | FALSE | Twitter for iPhone | NA | NULL |
| RT @aaronsreeves: Impact of sanctions on food insecurity is not reflected in food bank data. Many of those who are sanctioned go hungry bec… | retweeted , 956515306939265024 | 956521807821135877 | 2018-01-25T13:39:04.000Z | 3, 16, aaronsreeves, 831623527 | en | 95226101 | 22 | 956521807821135877 | FALSE | Twitter Web Client | NA | NULL |
| RT @NeilKetchley: 18 Jan '77: Sadat's government announced price rises on a range of subsidized goods triggering 2 days of unruly protests… | retweeted , 954099671718342656 | 954104802442653696 | 2018-01-18T21:34:45.000Z | 3, 16, NeilKetchley, 419500182 | en | 95226101 | 14 | 954104802442653696 | FALSE | Twitter Web Client | NA | NULL |
| @phnk I will make them available at some point in the future (still require further triangulation and cleaning). | replied_to , 953164720198094853 | 952561208393166853 | 2018-01-16T16:13:05.000Z | 0, 5, phnk, 14460093 | en | 95226101 | 0 | 953299075667038208 | FALSE | Twitter Web Client | 14460093 | NULL |
| @rmkubinec @juliamgclark Working on it! | replied_to , 953291262710435840 | 952561208393166853 | 2018-01-16T16:12:03.000Z | 0, 11, 10, 24, rmkubinec, juliamgclark, 4149978441, 407096638 | en | 95226101 | 0 | 953298814152204288 | FALSE | Twitter Web Client | 4149978441 | NULL |
| On anniversary of #Tunisia's revolution, and amid renewed protests, here is gif of how protest spread in 2010-11, using original data I compiled. Day 1=December 17, 2010. https://t.co/iZfaSWKm8x | NULL | 952561208393166853 | 2018-01-14T15:21:04.000Z | NULL | en | 95226101 | 58 | 952561208393166853 | FALSE | Twitter Web Client | NA | 16_952560202590629888 |
| Forthcoming in Mobilization with @NeilKetchley. Post-revolutionary labour protest in Egypt subsumed within broader protest wave; took cues from nearby protest; struggled to influence transitional process. Lessons on protest in contexts of disorganization. https://t.co/Y5nHHFoyJs https://t.co/teRSYAkyEc | NULL | 948850203255279616 | 2018-01-04T09:34:51.000Z | 33, 46, NeilKetchley, 419500182 | en | 95226101 | 5 | 948850203255279616 | FALSE | Twitter Web Client | NA | 3_948850158023954432 |
| RT @NeilKetchley: New working paper with @cbarrie on dynamics of #Labor activism in post-Mubarak #Egypt: https://t.co/rqEbMdaFiQ | retweeted , 882587763501084674 | 882592673198215169 | 2017-07-05T13:31:05.000Z | 3, 41, 16, 49, NeilKetchley, cbarrie, 419500182, 95226101 | en | 95226101 | 7 | 882592673198215169 | FALSE | Twitter Web Client | NA | NULL |
| protected | pinned_tweet_id | name | created_at | id | profile_image_url | entities | username | verified | public_metrics | url | description |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FALSE | 1488218343358320642 | Christopher Barrie | 2009-12-07T15:57:51.000Z | 95226101 | https://pbs.twimg.com/profile_images/1374059345051279360/vcjvOgVP_normal.jpg | 0, 23, https://t.co/c53XboRXnW, https://www.cjbarrie.com/, cjbarrie.com | cbarrie | FALSE | 1635 | https://t.co/c53XboRXnW | Lecturer in Computational Sociology @EdinburghUni @uoessps https://t.co/BMT1o0mNkH… |
See here for full details of logical operators in Twitter API
rtweetacademictwitteR can be used to derive sample. How?
Sample by parameters of relevance (e.g., language, location)
Select subpopulation of interest (e.g., MPs, followers of select accounts (to come), news organizations
mps <- c(
"zarahsultana",
"Y_FovargueMP",
"YvetteCooperMP",
"YasminQureshiMP",
"William_Wragg",
"BillCashMP",
"willquince",
"wesstreeting",
"Wera_Hobhouse",
"morton_wendy",
"wendychambLD",
"WayneDavid_MP",
"VirendraSharma",
"VictoriaPrentis",
"vickyfoxcroft",
"vickyford",
"Valerie_VazMP",
"TulipSiddiq",
"TracyBrabin",
"tracey_crouch",
"tony4rochdale",
"ToniaAntoniazzi",
"TommySheppard",
"TomTugendhat",
"Tom_Randall",
"VotePursglove",
"tomhunt1988",
"tobyperkinsmp",
"Tobias_Ellwood",
"timloughton",
"timfarron",
"theresa_may",
"theodoraclarke",
"ThangamMP",
"TanDhesi",
"TaiwoOwatemi",
"TahirAliMP",
"Q66Suzi",
"SuellaBraverman",
"Stuart4WolvesSW",
"Stuart_McDonald",
"StuartAndrew",
"StewartMcDonald",
"StewartHosieSNP",
"StevenBonnarSNP",
"SteveBakerHW",
"SteveReedMP",
"steve_mccabe",
"stevedouble",
"BrineMP",
"stephenctimms",
"StephenMorganMP",
"Metcalfe_SBET",
"SMcPartland",
"SKinnock",
"S_Hammond",
"StephenFlynnSNP",
"StephenFarryMP",
"SDoughtyMP",
"SCrabbPembs",
"SteveBarclay",
"Steph_Peacock",
"stellacreasy",
"Siobhan_Baillie",
"Siobhain_Mc",
"simonjamesjupp",
"Simon4NDorset",
"Simonhartmp",
"simonfell",
"SimonClarkeMP",
"baynes_simon",
"sheryllmurray",
"Shaun4WBW",
"SharonHodgsonMP",
"ShaileshVara",
"ShabanaMahmood",
"SelaineSaxby",
"SeemaMalhotra1",
"scottmann4NC",
"ScottBentonMP",
"SarahOwen_",
"sarahjolney1",
"LabourSJ",
"SarahGreenLD",
"Dines4Dales",
"SarahChampionMP",
"AthertonNWales",
"SarBritcliffeMP",
"bhatti_saqib",
"eastantrimmp",
"SamTarry",
"SallyAnn1066",
"sajidjavid",
"RuthNewportWest",
"RuthEdwardsMP",
"RuthCadbury",
"rushanaraali",
"Royston_Smith",
"RosieDuffield1",
"rosie4westlancs",
"ronniecowan",
"SirRogerGale",
"WalkerWorcester",
"RobinMillarMP",
"RobertSyms",
"neill_bob",
"robertlargan",
"RobertJenrick",
"halfon4harlowMP",
"robertcourts",
"RobertBuckland",
"_RobbieMoore",
"AylesburyTories",
"RishiSunak",
"RicHolden",
"RichardGrahamUK",
"RThomsonMP",
"RichardBurgon",
"richardbaconmp",
"Rehman_Chishti",
"pow_rebecca",
"RLong_Bailey",
"RebeccaHarrisMP",
"TeamRanil",
"RachelReevesMP",
"redditchrachel",
"rach_hopkins",
"RachaelMaskell",
"pritipatel",
"PreetKGillMP",
"Dunne4Ludlow",
"PhilipDaviesUK",
"peterkyle",
"PeterGrantMP",
"Gibbo4Darlo",
"Peter_Dowd",
"PeterBoneUK",
"peter_aldous",
"PeteWishart",
"PennyMordaunt",
"Pauline_Latham",
"PaulaBarkerMP",
"scullyp",
"PaulMaynardUK",
"PaulMaskeyMP",
"PaulHowellMP",
"pauljholmes",
"PaulGirvanMP",
"paulbristow79",
"PaulBlomfieldMP",
"GradySNP",
"PGibsonSNP",
"patmcfaddenmp",
"OwenThompson",
"OwenPaterson",
"OrfhlaithBegley",
"_OliviaBlake",
"OliverHealdUK",
"OliverDowden",
"Nus_Ghani",
"nigelmills",
"HuddlestonNigel",
"nigelmp",
"nadams",
"Nicola4WBE",
"twocitiesnickie",
"NickTorfaen",
"BlaenauGwentMP",
"NickGibbUK",
"NickFletcherMP",
"NiaGriffithMP",
"neil_parish",
"NeilDotObrien",
"DrNeilHudson",
"neilgraysnp",
"coyleneil",
"JNHanvey",
"NazShahBfd",
"NavPMishra",
"NatalieElphicke",
"NadiaWhittomeMP",
"nadhimzahawi",
"munirawilson",
"YasinForBedford",
"mimsdavies",
"mikejwood",
"MikeKaneMP",
"MikeAmesburyMP",
"MickeyBradySF",
"MickWhitleyMP",
"gildernewm",
"michelledonelan",
"Michael4MDNP",
"michaelgove",
"Mike_Fabricant",
"Michael_Ellis1",
"MhairiBlack",
"MelJStride",
"Meg_HillierMP",
"mtpennycook",
"Offord4Hendon",
"MattHancock",
"MattWestern_",
"mattwarman",
"Matt_VickersMP",
"MattRodda",
"MaryRobinson01",
"GlindonMary",
"marykfoy",
"MartynDaySNP",
"MartinVickers",
"MartinJDocherty",
"MarshadeCordova",
"MarkTamiMP",
"Mark_Spencer",
"MPritchardUK",
"MarkPawsey",
"markjenkinsonmp",
"MpHendrick",
"Mark_J_Harper",
"Mark4WyreForest",
"mark4dewsbury",
"marionfellows",
"MarieRimmer",
"MariaMillerUK",
"meaglemp",
"mariacaulfield",
"margarethodge",
"MGreenwoodWW",
"MargaretFerrier",
"Marcus4Nuneaton",
"MarcusFysh",
"marcolonghi4dn",
"maggie_erewash",
"lynbrownmp",
"LukePollard",
"LukeHall",
"drlukeevans",
"LucyMPowell",
"lucyfrazermp",
"lucyallan",
"LouHaigh",
"lloyd_rm",
"LizTwistMP",
"LSRPlaid",
"leicesterliz",
"lisanandy",
"DrLisaCameronMP",
"LindsayHoyle_MP",
"LilianGreenwood",
"liambyrnemp",
"lia_nici",
"LeoDochertyUK",
"Lee4NED",
"LeeAndersonMP",
"LaylaMoran",
"lrobertsonTewks",
"Laura__Farris",
"KwasiKwarteng",
"kitmalthouse",
"KirstySNP",
"kirstenoswald",
"KimJohnsonMP",
"KieranMullanUK",
"khalid4PB",
"kevinhollinrake",
"kevin_j_foster",
"KevinBrennanMP",
"KevanJonesMP",
"KerryMP",
"KennyMacAskill",
"KemiBadenoch",
"KellyTolhurst",
"Keir_Starmer",
"K_Fletcher_MP",
"KateOsborneMP",
"KateOsamor",
"Kate_HollernMP",
"KateGreenSU",
"KarlTurnerMP",
"karlmccartney",
"karinsmyth",
"KarenPBuckMP",
"JustinTomlinson",
"justinmadders",
"JulieMarsonMP",
"JulieElliottMP",
"JulianSturdy",
"JulianSmithUK",
"julianknight15",
"JuliaLopezMP",
"JudithCummins",
"joymorrissey",
"jreynoldsMP",
"JonathanLord",
"JDjanogly",
"JonAshworth",
"jon_trickett",
"JonCruddas_1",
"JohnnyMercerUK",
"JohnMcNallySNP",
"JWhittingdale",
"John4Carlisle",
"spellar",
"johnredwood",
"JohnPenroseNews",
"MrJohnNicolson",
"johnmcdonnellMP",
"John2Win",
"JHowellUK",
"JohnHealey_MP",
"JohnGlenUK",
"johnfinucane",
"JohnCryerMP",
"joannaccherry",
"JoStevensLabour",
"jogideon",
"Jochurchill4",
"JimShannonMP",
"JimfromOldham",
"Jill4Hartlepool",
"jessicamordenmp",
"Jesse_Norman",
"jessphillips",
"JeromeMayhew",
"Jeremy_Hunt",
"jeremycorbyn",
"J_Donaldson_MP",
"JeffSmithetc",
"JasonMcCartney",
"JanetDaby",
"Jane_Stevenson_",
"JaneMHunt",
"Jamie4North",
"JamieWallisMP",
"jamesowild",
"JamesSunderl",
"jamesmurray_ldn",
"JamesMorris",
"JSHeappey",
"JGray",
"JamesDuddridge",
"JamesDavies",
"JamesDalyMP",
"JamesCleverly",
"jc4southsuffolk",
"JBrokenshire",
"JakeBerry",
"JacobYoungMP",
"Jacob_Rees_Mogg",
"JackieDP",
"JackLopresti",
"JackDromeyMP",
"imranahmadkhan",
"Imran_HussainMP",
"IanMurrayMP",
"IanMearnsMP",
"IanLaveryMP",
"IanByrneMP",
"Ianblackford_MP",
"iainastewart",
"MPIainDS",
"HywelPlaidCymru",
"HuwMerriman",
"HollyLynch5",
"hilarybennmp",
"HenrySmithUK",
"Helen_Whately",
"helenhayes_",
"HelenGrantMP",
"HeatherWheeler",
"hbaldwin",
"HarrietHarman",
"HannahB4LiviMP",
"GuyOpperman",
"gregsmith_uk",
"GregKnight",
"GregHands",
"GregClarkMP",
"grantshapps",
"grahamemorris",
"grahamstuart",
"SirGrahamBrady",
"GillianKeegan",
"GillFurnissMP",
"GilesWatling",
"GeraldJonesLAB",
"GeraintDaviesMP",
"GeorgeFreemanMP",
"Geoffrey_Cox",
"GavinWilliamson",
"GRobinsonDUP",
"GavNewlandsSNP",
"garystreeterSWD",
"GarySambrook89",
"GarethThomasMP",
"GarethDavies_MP",
"GarethBaconMP",
"gaganmohindra",
"FrancieMolloy",
"FloEshalomi",
"PutneyFleur",
"FeryalClark",
"FelicityBuchan",
"JonesyFay",
"FabianLeedsNE",
"EstherMcVey1",
"EmmaLewellBuck",
"EmmaHardyMP",
"EmilyThornberry",
"ElliotColburn",
"elliereeves",
"trussliz",
"eleanor4epping",
"edwardtimpson",
"Ed_Miliband",
"EdwardLeighMP",
"EdwardJDavey",
"EddieHughes4WN",
"duncancbaker",
"drewhendrySNP",
"theresecoffey",
"RupaHuq",
"DrRosena",
"Dr_PhilippaW",
"LiamFox",
"drcarolinej",
"AWMurrison",
"alanwhiteheadmp",
"Douglas4Moray",
"DougChapmanSNP",
"DominicRaab",
"HackneyAbbott",
"DianaJohnsonMP",
"DesmondSwayne",
"DerekTwiggMP",
"DerekThomasUK",
"DeidreBrock",
"DehennaDavison",
"Debbie_abrahams",
"dean4watford",
"DawnButlerBrent",
"DJWarburton",
"DavidTCDavies",
"DSimmonds_RNP",
"DavidRutley",
"DavidMundellDCT",
"davidmorrisml",
"DavidLinden",
"DavidLammy",
"DavidJonesMP",
"david4wantage",
"DavidEvennett",
"david_duguid",
"DavidDavisMP",
"amessd_southend",
"DaveDooganSNP",
"darrenpjones",
"DarrenG_Henry",
"danny__kruger",
"DanielZeichner",
"DKShrewsbury",
"DanJarvisMP",
"DanCardenMP",
"DamianHinds",
"DamianGreen",
"DamianCollins",
"libdemdaisy",
"CrispinBlunt",
"craig4monty",
"CWhittaker_MP",
"craig4nwarks",
"cmackinlay",
"ConorMcGinn",
"ConorBurnsUK",
"columeastwood",
"labourlewis",
"CliveEfford",
"ClaudiaWebbe",
"ClaireHanna",
"ClaireCoutinho",
"ChrisPincher",
"ChrisHazzardSF",
"cajardineMP",
"Rees4Neath",
"Christian4BuryS",
"ChrisM4Chester",
"ChrisStephens",
"CSkidmoreUK",
"CPhilpOfficial",
"chrisloder",
"ChrisLawSNP",
"chhcalling",
"CGreenUK",
"Chris_EvansMP",
"CPJElmore",
"ChrisClarksonMP",
"RhonddaBryant",
"NorwichChloe",
"ChiOnwurah",
"thisischerilyn",
"charlotte2153",
"CharlesWalkerMP",
"CatherineWest1",
"CatMcKinnell",
"CatSmithMP",
"carolynharris24",
"carolinenokes",
"CarolineLucas",
"cj_dinenage",
"Caroline_Ansell",
"CMonaghanSNP",
"carlalockhart",
"bphillipsonMP",
"BrendanOHaraMP",
"Bren4Bassetlaw",
"BrandonLewis",
"BorisJohnson",
"IoWBobSeely",
"BobBlackman",
"BimAfolami",
"Bill_Esterson",
"BethWinterMP",
"bernardjenkin",
"BWallaceMP",
"DrBenSpencer",
"BenMLake",
"Ben_Everitt",
"BenPBradshaw",
"BBradley_Mans",
"BellRibeiroAddy",
"BarrySheerman",
"BarryGardiner",
"KeeleyMP",
"Bambos_MP",
"ApsanaBegumMP",
"antony_hig",
"AnthonyMangnal1",
"ab4scambs",
"AnnelieseDodds",
"annietrev")
tweetscjb <- get_all_tweets(
user = mps,
start_tweets = "2015-01-01T00:00:00Z",
end_tweets = "2020-01-05T00:00:00Z",
bearer_token = get_bearer(),
n = 500
)