One Percent of Twitter A digital methods winter school 2013 project Bernhard, Julian, Nikolas, Liliana, Lonneke, Esther, Erik, Carolin
Research FocusTwitter research often based on the demarcation ofbottom-up query views, demarcated by hashtags, keywords, users, events, URLs etc.This project follows a top-down sample-view byretaining 1 % of all tweets from approx. 1 day. 1) How does an average day on Twitter look like? 2) What are the specific affordances of working with a random sample of Tweets? 3) What insights does this allow for working with collections?
The Dataset• Random Twitter Sample 1%24.1.2013 19:28:5725.1.2013 20:26:16Total 4,577,401 tweets• 50.09 tweets/s
Methodology 3. HASHTAGS1. USERS Categorise & profileCategorise top users top hashtags2. URLs 4. GEOLOCATIONDetermine the sources Plot tweets/languagetweets link to use on map
2,849,881 different 100 most mentioned usersuser accounts
Hashtags- Profile 3.rt11538 total tweets9456 Retweets11076 Users
Hashtags- Profile 3.rt• 14 RTs: “RT @ifollowbackjp: ã€Follow & RTã€‘#TFBJP #SO#FF #RT #F #IFA #TFW #FollowNGain #FOLLOWNGAIN#OPENFOLLOW #INSTANTFOLLOW #TEAMFOLLOWBACK ...”• 13 RTs: “RT @enyerbel: Da #RT *SI* QUIERES MASSEGUIDORES?? #SiguemeyTeSigo sigue a los que den #RT *HAZLO Y COMPRUEBALO * RT RT * TODOS #FOLL ...”
Hashtags- Profile 4.CallOutSomebodyBeautiful6052 total tweets5864 Retweets5951 Users
Hashtags- Profile 4.CallOutSomebodyBeautiful• 17 RTs: “RT @kaungko: #CallOutSomebodyBeautiful You. Yesyou. The one with a nice personality and a good heart!#ilikeyou #tweetsfrommyheart”• 15 RTs: “RT @damnitstrue: #CallOutSomebodyBeautifulevery girl reading this.... youre beautiful. Smile. Lifes too shortto be unhappy.”• 14 RTs “RT @ExtraGrumpyCat: #CallOutSomebodyBeautifulNo. Youre all ugly fucks.”
Hashtags- Profile 5.TFBJP5780 total tweets3417 Retweets5278 Users
Hashtags- Profile 6.ThingsIDoWhenIGetBored4006 total tweets3478 Retweets3980 Users
Hashtags- Profile 6.ThingsIDoWhenIGetBored• 35 RTs: “RT @JaiBrooks1: #ThingsIDoWhenIGetBored we allknow what giovanna does when she gets bored”• 14 RTs: “RT @ExtraGrumpyCat: #ThingsIDoWhenIGetBored Ilay on the kitchen floor and pretend Im a crumb.”• 13 RTs “RT @stillblazingtho: #ThingsIDoWhenIGetBored I getreally stoned and then nothing I do is boring.”
Implications for researchSample vs. Collection• Only 12.2 % Hashtags: limits of collections demarcatedby hashtags.• Suggesting decline of hashtag use practices?• Also, only 12.2% contain URLs: limits of organising/polarising tweets based on URLs.Impact of the Social• URLs: platforms followed by diverse longtail, very fewnews sources.• Hashtags predominantly used to gain followers &retweets.