Media Coverage

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Faculty Profile: Emilio Ferrara from USC Viterbi on Vimeo.

Spotlight: How Emotions Spread On Twitter from USC Viterbi on Vimeo.

The Rise of Social Bots from CACM on Vimeo.

Press Coverage

  1. CMO Today: Marketers and Political Wonks Gather for SXSW – The Wall Street Journal
  2. Huge number of Twitter accounts are not operated by humans – ABC News
  3. Up to 48 million Twitter accounts are bots, study says – CNET
  4. R u bot or not? – VICE
  5. New Machine Learning Framework Uncovers Twitter’s Vast Bot Population – VICE/Motherboard
  6. A Whopping 48 Million Twitter Accounts Are Actually Just Bots, Study Says – Tech Times
  7. Study reveals whopping 48M Twitter accounts are actually bots – CBS News
  8. Twitter is home to nearly 48 million bots, according to report – The Daily Dot
  9. As many as 48 million Twitter accounts aren’t people, says study – CNBC
  10. New Study Says 48 Million Accounts On Twitter Are Bots – We are social media
  11. Almost 48 million Twitter accounts are bots – Axios
  12. Twitter user accounts: around 15% or 48 million are bots [study] – The Vanguard
  13. Rise of the TWITTERBOTS – Daily Mail
  14. 15 per cent of Twitter is bots, but not the Kardashian kind – The Inquirer
  15. 48 mn Twitter accounts are bots, says study – The Economic Times
  16. 9-15 per cent of Twitter accounts are bots, reveals study – Financial Express
  17. Nearly 48 million Twitter accounts are bots: study – Deccan herald
  18. Study: Nearly 48 Million Twitter Accounts Are Fake; Many Push Political Agendas – The Libertarian Republic
  19. As many as 48 million accounts on Twitter are actually bots, study finds – Sacramento Bee
  20. Study Reveals Roughly 48M Twitter Accounts Are Actually Bots – CBS DFW
  21. Up to 48 million Twitter accounts may be Bots – Financial Buzz
  22. Up to 15% of Twitter accounts are not real people – Blasting News
  23. Tech Bytes: Twitter is Being Invaded by Bots – WDIO Eyewitness News
  24. About 9-15% of Twitter accounts are bots: Study – The Indian Express
  25. Twitter Has Nearly 48 Million Bot Accounts, So Don’t Get Hurt By All Those Online Trolls – India Times
  26. Twitter May Have 45 Million Bots on Its Hands – Investopedia
  27. Bots run amok on Twitter – My Broadband
  28. 9-15% of Twitter accounts are bots: Study – MENA FN
  29. Up To 15 Percent Of Twitter Users Are Bots, Study Says – Vocativ
  30. 48 million active Twitter accounts could be bots – Gearbrain
  31. Study: 15% of Twitter accounts could be bots – Marketing Dive
  32. 15% of Twitter users are actually bots, study claims – MemeBurn
  33. Almost 48 million Twitter accounts are bots – Click Lancashire
  34. Data Mining Reveals the Rise of ISIS Propaganda on Twitter – MIT Technology Review
  35. Data Mining Technology Helped Analyze ISIS Rise to Power – iHLS
  36. As a conservative Twitter user sleeps, his account is hard at work – Washington Post
  37. How a Chicago man posts hundreds of pro-Trump tweets each day – Daily Herald
  38. You’ve probably been tricked by fake news and don’t know it – Science News
  39. Twitter Bots Favored Trump Leading Up to Election – U.S. News
  40. How the Bot-y Politic Influenced This Election – MIT Technology Review
  41. Facebook, Twitter & Trump – The New York Review of Books
  42. How Twitter bots played a role in electing Donald Trump – WIRED
  43. Twitter Bots Pollute Public’s Understanding of Politics – Newsweek
  44. How Twitter bots helped Donald Trump win the US presidential election – Arstechnica
  45. On Twitter, No One Knows You Are a Trump Bot – Fast Company
  46. The Algorithmic Democracy – Fast Co. Design
  47. Election 2016 Belongs to the Twitter Bots – VICE
  48. USC Study Finds Many Political Tweets Come From Fake Accounts – CACM News
  49. Almost a fifth of election chatter on Twitter comes from bots – Fusion
  50. Study reports that nearly 20% of election-related tweets were ‘algorithmically driven’ – Talking New Media
  51. How Twitter bots affected the US presidential campaign – The Conversation
  52. Advertising is driving social media-fuelled fake news and it is here to stay – The Conversation
  53. 20% of All Election Related Tweets Came From Non-Humans – Futurism
  54. Twitter Bots Dominate 2016 Presidential Election: New Study – Heavy
  55. Tracking The Election With Social Media In Real-Time: How Accurate Is It? – Heavy
  56. BOTS ‘SWAY’ ELECTION Fake tweets by social media robots could swing US Presidential election – The Sun
  57. A fifth of all US election tweets have come from bots – ABC News
  58. The Trump factor tipped to spread to Australian politics as Aussie Truthers push on social media – News
  59. There are 400,000 Bots That Just Tweet Political Views All Day – Investopedia
  60. Real, or not? USC study finds many political tweets come from fake accounts – Science Blog
  61. Software bots distort Donald Trump support on Twitter: Study – ETCIO
  62. How hackers, social bots, data analysts shaped the U.S. election – The Nation
  63. That swarm of political tweets in your feed? Many could be from bots – The Business Journals
  64. Software ‘bots’ distort Trump support on Twitter – New Vision
  65. Bots Invade Twitter, Spreads Misinformation On US Election – EconoTimes
  66. Software ‘bots’ seen skewing support for Trump on Twitter – The Japan Times
  67. US Presidential Elections 2016: Bot-generated fake tweets influencing US election outcome, says new study – Indian Express
  68. US elections 2016: Researchers show how Twitter bots are trying to influence the poll in favour of Trump – International Business Times
  69. Aliens, and the autopsy into Hillary Clinton’s political death – Toronto SUN
  70. Hillary vs Trump: Most of the election chatter online by Twitter bots, says study – Tech 2 First Post
  71. Twitter bots distort Trump support – iAfrica
  72. Social Media ‘Bots’ Working To Influence U.S. Election – CBS San Francisco
  73. Almost a fifth of election chatter on Twitter comes from bots – Full Act
  74. Software ‘bots’ distort Trump support on Twitter: study – Yahoo! News
  75. Bots Will Break 2016 US Elections Results – iTechPost
  76. Scientist Worries Robot-Generated Tweets Could Compromise The Presidential Election – Newsroom America
  77. Software ‘bots’ distort Trump support on Twitter: study –
  78. Spotlight: Fake tweets endanger integrity of U.S. presidential election – XinhuanNet
  79. New Study: Twitter Bots Amount for One-Fifth of US Election Conversation – Dispatch Weekly
  80. Are Robot generated Tweets compromising US Polls? – TechRadar India
  81. Fake tweets endanger integrity of US presidential election – Global Times
  82. Software ‘bots’ distort Trump support on Twitter: study – The Daily Star
  83. Software ‘bots’ distort Trump support on Twitter: study – News Dog
  84. Malicious Twitter bots could have profound consequences for the election – RawStory
  85. ‘Robot-generated fake tweets influencing US election outcome’ – Daily News & Analysis
  86. Sophisticated Bot-Generated Tweets Could Influence Outcome of US Presidential Election – Telegiz
  87. UIC Journal Shows ‘Bots’ Sway Political Discourse, Could Impact Election – NewsWise
  88. Bot-generated tweets could threaten integrity of 2016 US presidential election: Study – BGR
  89. Bot generated tweets influence US Presidential election polls – I4U News
  90. High percentage of robot-generated fake tweets likely to influence public opinion – NewsGram
  91. ‘Robot-generated fake tweets influencing US election outcome’ – Press Trust of India
  92. Robot-generated fake tweets influencing US election outcome: Study – IndianExpress
  93. Fake Tweets, real consequences for the election –
  94. Real, or not? USC study finds many political tweets come from fake accounts – USC News
  95. We’re in a digital world filled with lots of social bots – USC News
  96. 23 reasons to get excited about data – IBM Watson Analytics
  97. Algorithm knows when corporate money is pushing memes online – New Scientist
  98. Algorithm identifies artificially promoted Twitter memes and hashtags – The Stack
  99. La fórmula científica que te podría convertir en la próxima Cara Delevingne – Vanitatis
  100. Social Network Sleuths: Investigators Pursue Criminal Gangs Via Phone Chatter – Homeland Security Today
  101. The More You Comment Online, The Dumber Your Comments Become – Huffington Post
  102. The longer you’re on the web, the less interesting your commentary becomes – USC News
  103. Cool study, bro: Why Reddit comments degrade over time – USC Press Room
  104. On Twitter, your positive tweets are actually contagiousThe Daily Dot
  105. Happiness is contagious – USC Viterbi News
  106. Pro-Trump Twitter Bots at Center of Nevada Mystery – Wall Street Journal
  107. How Ebola Infected Twitter: When it comes to sharing online, nothing spreads like fear – Nautilus
  108. Web of lies: Is the internet making a world without truth? – New Scientist
  109. The Top 100 Big Data Experts to Follow in 2016 – Maptive
  110. How DARPA Took On the Twitter Bot Menace with One Hand Behind Its Back – MIT Technology Review
  111. The US government held a contest to identify evil propaganda robots on Facebook and Twitter – Business Insider
  112. Why you need to purge your Twitter feed of angry peopleThe Telegraph
  113. Twitter Emotions Are Contagious, Says New Study, But At Least The Positive Ones Are More So Than The Negative OnesBustle
  114. Twitter users more likely to share happiness than sadness – The Rakyat Post
  115. Twitter reacts positively to upbeat emotions, study findsUSC News
  116. Positive emotions more contagious than negative ones on
  117. On Twitter, Is the Next POTUS a Bot-US?Wall Street Journal
  118. Why Does Facebook Keep Suggesting You Friend Your Tinder Matches?Vice
  119. New data suggest social media brings out the best in us, after allQuartz
  120. Bad news travels fast but positive posts spread wideThe Straits Times
  121. Positive content has greater reachBusiness First Magazine
  122. Data Shows that Positive Content Does Better on Social MediaGood
  123. Why can’t Twitter kill its bots?Fusion
  124. The Algorithm of Instagram FashionThe Science Times
  126. Here’s how to predict next season’s breakout starsDazed
  127. Instagram Can Determine Which Models Rule the Runway at Fashion WeekStyleCaster
  128. Instagram to predict next ‘It Girl’?HLN Tv
  129. Wondering Who’ll Be This Season’s Breakout Models? Apparently There’s A Mathematical Formula For ThatGrazia Daily
  130. Study Concludes Runway Models With Hips Have a Harder Time Being It Girls – Styleite
  131. FMD Featured in Indiana University Study to Predict Popular Models for NYFWSBWire
  132. NYFW: Instagram May Be Able To Predict Fashion Week’s Top ModelsUniversity Herald
  133. Scientists Can Now Predict How Successful A Model Will BeAskMen
  134. Stylebook snapshot: Researchers study impact of Instagram on models’ successPittsburg Post Gazette
  135. VIDEO: Instagram can predict top models for New York Fashion WeekIrish Examiner
  136. America’s Next Top Model Cycle 22 Winner Predicted By Instagram? Scientists Create Algorithm That Can Do ThatiSchoolGuide
  138. Instagram Correctly Predicts 80% Of Next Top Models At Fashion EventYibada
  139. Instagram can now predict who America’s Next Top Model will beDigital Trends
  142. Instagram can help predict a model’s successRed Orbit
  147. Instagram can predict the NYFW next top model with 80 percent accuracyInferse
  148. Is Instagram the new runway for fashion?Daily O
  149. How Instagram Can Predict Next Supermodels?My Tech Bits
  151. Algorithm using Instagram data can predict upcoming top modelNorthern Californian
  152. NYFW: Instagram Could Predict The Next Top ModelUniversity Herald
  153. Instagram Can Now Be Used to Predict the Fashion World’s Next SupermodeliDigitalTimes Australia
    Instagram, Social Media, and New York Fashion WeekPioneer News
  154. Instagram Predicts Future Of Modeling PopularityPress Examiner
  155. Instagram Predicts A Model’s Future Popularity According To Social ScientistsBustle
  157. Instagram Could Be Used To Identify Popularity Level Of Modelsubergizmo
  158. Instagram will tell you industry’s next top modelNature World Report
  159. Next Year’s Fashion Trends: Indiana University Algorithm Employs Instagram Data To Predict The Next Top Models Immortal News
  160. Popularity of models can be gauged using Instagram, study showsTechienews
  163. Who will be America’s next top model? Ask InstagramCBS News
  164. This Machine-Learning Algorithm Can Predict the Next Top ModelThe Fashion Spot
  165. New York Fashion Week 2015: Can Scientists Use Instagram To Identify Budding Models?iDigitalTimes
  166. Want To Know If You Can Be A Fashion Model? There’s A Machine-Learning Algorithm For ThatTech Times
  168. Scientists Can Now Predict Top Models. Sorry, TyraYahoo! Style
  169. Scientists Figure Out a Formula to Determine Top Model SuccessRacked
  170. Can You Scientifically Predict a Model’s Success?New York Magazine
  171. Machine Learning Algorithm Predicts Which New Faces Will Make It as Fashion ModelsMIT Technology Review
  172. Machine Learning Selects World’s Next Top ModelsCommunications of the ACM
  173. Slack Is Overrun With Bots. Friendly, Wonderful BotsWIRED
  174. The science of SUPERMODELS: Researchers create algorithm that scours Instagram to find the best new talentDaily Mail UK
  175. Machine learning selects world’s next top models it News
  176. IU scientists use Instagram data to forecast top models at New York Fashion WeekIU Bloomington newsroom
  177. This new study suggests sad tweets make you sadFusion
  178. The Power Of Twitter’s Emotional Influence Focus News
  179. Emotions in Tweets Are Contagious: StudyNDTV
  180. Emotions in tweets are contagious Business Standard
  181. Emotions on Twitter are contagious, says studyDNA
  182. ‘Sleeping beauty’ papers slumber for decadesNature News
  183. Even Einstein’s Research Can Take Time to MatterNew York Times
  184. ‘Sleeping beauty’ studies ahead of their timeABC Science
  185. Like Sleeping Beauty, some research lies dormant for decades, study
  186. The Dayside : Kissed by a princePhysics Today
  187. The Sleeping Beauties of SciencePacific Standard
  188. Quando la ricerca è una “bella addormentata”Le Scienze
  189. Paper all’avanguardia: fanno il botto decenni dopo la pubblicazioneOggi Scienza
  190. ‘Sleeping Beauty’ studies don’t pay off for decadesFuturity
  191. Sleeping Beauty Research Papers Can Languish For Decades, Even For Albert Einstein – Tech Times
  192. Like Sleeping Beauty, Some Research Lies Dormant for Decades News Wise
  193. El estudio de Einstein que resucitó a los 60 años y otras bellas durmientesEl Pais
  194. ‘Sleeping Beauty’ Studies Don’t Pay Off for DecadesEpoch Times
  195. Like Sleeping Beauty, some research lies dormant for decades, IU study finds Indiana University Newsroom
  196. Bot or Not? By James GleickThe New York Review of Books
  197. Twitter’s Bot Problem: Katy Perry, Taylor Swift, Justin Bieber, Rihanna And Other Musicians Have Mostly Fake Followings International Business Times
  198. Why Fear Spreads Faster Than Facts on Social MediaHootsuite
  199. In Social Networking, ‘Weak’ Connections May Be the Most
  200. Fear, Misinformation, and Social Media Complicate Ebola FightTIME
  201. Social media can improve, muddy election campaignsPittsburgh Tribune-Review
  202. How To Spot A Social Bot On TwitterMIT Technology Review
  203. Barack Obama Is Probably a Robot, and Other Lessons from ‘Bot Or Not’
  204. Social Bots on Twitter are More Than a Minor NuisanceSocial Times
  205. An Algorithm To Identify Social Bot on Twitter Value Walk
  206. Lying, spamming and scamming on the webThe Spectator
  207. This Algorithm Tells You If A Twitter Account Is a Spam BotMashable
  208. How to Spot A Bot… or Find Out If You Sound Like OneABC News
  209. Lo strumento per distinguere bot e umani su
  210. Indiana University Will Devote $1 Million to the Study of Internet MemesThe Mary Sue
  211. The U.S. government is spending $1 million to figure out memesThe Daily Dot
  212. U.S. Military Sends Scouting Party Into the TwitterverseTIME
  213. US military studied how to influence Twitter users in Darpa-funded researchThe Guardian
  214. Twitter Inc Users Studied By US Military In Darpa-Funded ResearchValue Walk
  215. How online ‘chatbots’ are already tricking youBBC
  216. ‘Bot or Not’ App Susses Out Twitter SpambotsTom’s Guide
  217. Computer scientists develop tool for uncovering bot-controlled Twitter
  218. IU computer scientists develop tool for uncovering bot-controlled Twitter accountsIU Newsroom
  219. Criminal Gang Connections Mapped via Phone MetadataCommunications of the ACM
  220. New software can map criminal gang connectionsThe Free Press Journal
  221. Gangster science: How police use network theory to track gang membersThe Daily Dot
  222. New software can map criminal gang connectionsBusiness Standard
  223. IU researcher helps Italian police fight crimeThe Washington Times
  224. Criminal gang connections mapped via phone metadataNew Scientist
  225. Mafia Wars: How Italy’s Secret Police Use Metadata To Track Organized CrimeFast Company
  226. LogAnalysis maps the structure of gangs using phone recordsEngadget
  227. How to Detect Criminal Gangs Using Mobile Phone Data MIT Technology Review
  228. Complex networks researcher at IU fighting crime with mobile phone data IU Newsroom
  229. One Tweet if by Land Newsweek
  230. Where do Twitter trends start? Try CincinnatiThe Washington Post
  231. Study: Seattle is top Twitter trendsetter in the U.S.The Seattle Times
  232. The Top Five Trend-Setting Cities on TwitterMIT Technology Review
  233. Study Finds Cincinnati Is Major Twitter Trendsetter in U.S. CityBeat
  234. Seattle generates more nationally-trending topics on Twitter than any other U.S. city, study says GeekWire
  235. Cincinnati is leading the way on TwitterCincyBizBlog
  236. The Anatomy of the Occupy Wall Street Movement on TwitterMIT Technology Review
  237. Data dance, big data and data miningThe Why Files
  238. Cell phone data analysis dials in crime networksScience News
  239. Using statistics to catch cheats and criminalsPhysics Today
  240. Bond with the best: FaceBook vs
  241. Study: Facebook Builds Better Communities Than TwitterThe Atlantic
  242. Facebook Builds Stronger Bonds Than Twitter, Study SaysMashable
  243. Study shows similarities between Facebook and real-world communitiesLeaders West
  244. Does Facebook Really Create Stronger Bonds Than Twitter?Daily lounge
  245. Facebook Encourages Stronger Bonds Over Twitter:
  246. Facebook and Strongly Connected CommunitiesCornell University
  247. Driven by friendshipSpringerSelect
  248. Facebook is a communityScience Daily
  249. Data-Mining FacebookIdiro Technologies

Press in non-English media

  1. Bad Bot oder Mensch – das ist hier die Frage – Medien Milch (in German)
  2. Studie: Bis zu 48 Millionen Twitter-Nutzer sind in Wirklichkeit Bots – T3N (in German)
  3. Der Aufstieg der Twitter-Bots: 48 Millionen Nutzer sind nicht menschlich – Studie – Sputnik News (in German)
  4. Studie: Bis zu 48 Millionen Nutzer auf Twitter sind Bots – der Standard (in German)
  5. “Blade Runner”-Test für Twitter-Accounts: Bot oder Mensch? – der Standard (in German)
  6. Bot-Paradies Twitter – Sachsische Zeitung (in German)
  7. 15 Prozent Social Bots? – DLF24 (in German)
  8. TWITTER: IST JEDER SIEBTE USER EIN BOT? – UberGizmo (in German)
  9. Twitter: Bis zu 48 Millionen Bot-Profile – Heise (in German)
  10. Studie: Bis zu 15 Prozent aller aktiven, englischsprachigen Twitter-Konten sind Bots – Netzpolitik (in German)
  11. Automatische Erregung – Wiener Zeitung (in German)
  12. 15 por ciento de las cuentas de Twitter son ‘bots’: estudio – CNET (in Spanish)
  13. 48 de los 319 millones de usuarios activos de Twitter son bots – TIC Beat (in Spanish)
  14. 15% de las cuentas de Twitter son ‘bots’ – Merca 2.0 (in Spanish)
  15. 48 de los 319 de usuarios activos en Twitter son bots – MDZ (in Spanish)
  16. Twitter, paradis des «bots»? – Slate (in French)
  17. Twitter compterait 48 millions de comptes gérés par des robots – MeltyStyle (in French)
  18. Twitter : 48 millions de comptes sont des bots – blog du moderateur (in French)
  19. ’30 tot 50 miljoen actieve Twitter-accounts zijn bots’ – NOS (in Dutch)
  20. 48 εκατομμύρια χρήστες στο Twitter δεν είναι άνθρωποι, σύμφωνα με έρευνα Πηγή – LiFo (in Greek)
  21. 48 triệu người dùng Twitter là bot và mối nguy hại – Khoa Hoc Phattrien (in Vietnamese)
  22. Post-vérité – La revue européenne des médias et du numérique (in French)
  23. Twitter, 25 mila account dell’Isis – Pagina99 (in Italian)
  24. Trump su Twitter ha un esercito di bot – Il Post (in Italian)
  25. La violencia extrema del Dáesh en Twitter le ayudó a alzarse frente a Al Qaeda – MIT Technology Review (in Spanish)
  26. Così funziona la propaganda politica a colpi di bot su Twitter – La Stampa (in Italian)
  27. Así explica la ciencia la difusión de noticias falsas en los medios de comunicaciónEl Periodico (in Spanish)
  28. 10 conductas muy contagiosas – Muy Interesante (in Spanish)
  29. Robots behind the millions of tweets: “The integrity at danger” – Svenska Dagbladet (in Swedish)
  30. Elezioni Usa: il 19% dei tweet elettorali è prodotto da software – Repubblica (in Italian)
  31. ¿Cómo nos engañan los ‘bots’ online? – (in Spanish)
  32. El atroz encanto del terror – La Nacion (in Spanish)
  33. La bella addormentata non è una favola di Natale – Giornale dell’università di Padova (in Italian)
  34. Lo que encontramos en las redes sociales afecta cada vez más a nuestro estado de ánimoPuro Marketing (in Spanish)
  35. Tuitea la alegría, que eso se pegaPrimera Hora (in Spanish)
  36. Cómo Facebook y Twitter pueden influir en tu estado de ánimoLa Nacion (in Spanish)
  37. Study: Twitter “infects” people with positive (in Russian)
  38. La joie, un sentiment virtuellement plus partagé que la tristesse sur TwitterLe Soir (in French)
  39. La joie, plus partagée que la tristesse sur TwitterLuxemburg Wort (in French)
  40. Modelle e top model, dietro il successo c’è una formula matematicaGrazia (in Italian)
  41. Come cambia la bellezza al tempo di Instagram – La Stampa (in Italian)
  42. Buzz Mode : Instagram ou la clé du succès des mannequins selon une étude de l’université de l’IndianaMelty Fashion (in French)
  43. TOP MODEL, IL SUCCESSO È IN UN ALGORITMOLettera Donna (in Italian)
  44. Un algoritmo italiano prevede il successo delle top modelCorriere (in Italian)
  45. La scienza della “super modella”: arriva l’algoritmo per scovare nuovi talenti sui socialFanpage (in Italian)
  46. Cientistas criam algoritmo que prevê o sucesso das modelos através do InstagramVisão (in Portuguese)
  47. A computer algorithm can predict the popularity of top modelsVesti (Вести.Ru in Russian)
  48. Tomorrow: the United States develop software to predict IG supermodel accuracy rate of 80%Chinatimes (in Chinese)
  49. Likes are more important than the perfect dress size Die Welt (in German)
  50. Twitterbots manipulate political debates and marketsFuturezone (in German)
  51. Il messaggio vola su FacebookFocus (pp. 78 n. 244 – Febbraio 2013) (in Italian)
  52. Come si diffondono le conversazioni? we are social (in Italian)
  53. I confini della socializzazione: non tutto si può condividereMarketingArena (in Italian)