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.




Tech Crunch Podcast: Technotopia 


Unhacking Democracy Podcast – Machine Learning for Bot Detection

Press Coverage

  1. Surge in anonymous Asia Twitter accounts sparks bot fears – The Japan Times
  2. The endless game of cat and mouse with spammers – Eureka
  3. Fake news is about to get a lot worse. That will make it easier to violate human rights — and get away with it. – The Washington Post
  4. The Big, Bad Bot Problem – The Ringer
  5. Twitter Cracks Down on Bot Abuse – How Stuff Works
  6. Conservatives amplified Russian trolls 30 times more often than liberals in 2016 – Vox
  7. US conservatives spread tweets by Russian trolls over 30 times more often than liberals – MIT Tech Review
  8. How to Stop Russia From Wrecking Election 2018 – Daily Beast
  9. Twitter has been ignoring its fake account problem for yearsColumbia Journalism Review
  10. Twitter’s huge bot problem is out of the bagCNET
  11. Putin’s Pro-Trump Trolls Just Targeted Hillary Clinton and Robert Mueller – Mother Jones
  12. Twitter urged firms to delete data during 2016 campaign – POLITICO
  13. Bot-hunting Twitter bot sniffs out bogus political tweets – TechCrunch
  14. This new Twitter account hunts for bots that push political opinions – Quartz
  15. Lies, statistics and Twitter – Millennium Post
  16. Social media bots are a real problem and California may regulate them – Medianama
  17. Watch: Five Ways the Internet Is Destroying Society – IEEE Electronics 360
  18. Ending fake news means changing how Wall Street values Facebook and Twitter – Quartz
  19. Trolls, bots and fake news: the mysterious world of social media manipulation – Newsweek
  20. Twitter Bots Distorted the 2016 Election—Including Many Likely From Russia – Mother Jones
  21. Researcher Emilio Ferrara talks about the rise of fake news and botnets – Tech Crunch
  22. These Scientists Wanted To Understand Twitter’s Bot Armies, So They Built Their Own – Fast Company / Co.Design
  23. Senator Slams Twitter’s Disclosure On Russian Meddling As ‘Inadequate On Every Level’ – Forbes
  24. Twitter’s Disclosure of Russian Activity Sparks Criticism From Lawmakers – The Wall Street Journal
  25. Twitter takes its turn in the Russian probe spotlight – Politico
  26. Twitter Says It Found 201 Russia-Linked Accounts That Aimed to Influence U.S. Election – Fox Business
  27. TWITTER STORMS – Civicist
  28. JACK DORSEY TAKES HIS TURN IN THE RUSSIA PROBE BARREL – Vanity Fair
  29. Fake News on Twitter Flooded Swing States That Helped Trump Win – Mother Jones
  30. Twitter to Testify Before Senate in Russia Probe – US News
  31. Researchers find that Twitter bots can be used for good – Tech Crunch
  32. Twitter Bots Can Encourage Decent Conduct, Not Just Fake News – News18
  33. Twitter bots for good: USC ISI study reveals how information spreads on social media – EurekAlert!
  34. Germany Election So Far Unaffected by ‘Fake News’ – Snopes
  35. Social media ‘bots’ tried to influence the U.S. election. Germany may be nextScience
  36. Computational propaganda poses challengeGlobal Times
  37. Russia’s propaganda machine amplifies alt-right – The Hill
  38. #FireMcMaster, Not Damore: Twitter Bots Are Thriving, And They’re More Lethal Than Ever – Fast Company
  39. Why didn’t Macron leaks carry more clout in the French presidential election? USC News
  40. The curious case of ‘Nicole Mincey,’ the Trump fan who may actually be a botThe Washington Post
  41. Trump Thanked A ‘Supporter’ On Twitter, Then A Mystery UnraveledA Plus
  42. Spreading fake news becomes standard practice for governments across the world – The Washington Post
  43. One in five bots sharing fake news during France’s presidential election were also involved in the United States’ – ZME Science
  44. Black-market bots, duped humans are responsible for derailing elections with fake news – ThinkProgress
  45. Study: Bots have turned Twitter into a powerful political disinformation platform – Venture Beat
  46. Fake news bots are so economical, you can use them over and over – Harvard NiemanLab
  47. Pro-Trump Twitter bots were also used to target Macron, research shows – The Verge
  48. There’s a Bit of Overlap Between Bots Trying to Manipulate American and French Elections – New York Magazine
  49. Research links pro-Trump, anti-Macron Twitter bots – The Hill
  50. The Same Twitter Bots That Helped Trump Tried to Sink Macron, Researcher Says – VICE
  51. How the Hashtag Is Changing Warfare – SIGNAL
  52. How Twitter Is Being Gamed to Feed Misinformation – New York Times
  53. ‘Something fishy’ is going on with Trump’s twitter account, researchers say – Washington Post
  54. Inside Russia’s Social Media War on America – TIME (cover story)
  55. The Twitter Bots Who Tried to Steal France – Daily Beast
  56. When Facebook and Instagram Think You’re Depressed – VICE
  57. Twitter Has a Serious Problem—And It’s Actually a Bigger Deal Than People Realize – Mother Jones
  58. Sleeping Beauties of Science – Scientific American
  59. Twitter Bot — or Not? – The New York Times
  60. After political Twitter bot revelation, are companies at risk? – Computer World
  61. Searching for proof of Amy – San Francisco Examiner
  62. News That 48 Million Of Twitter’s Users May Be Bots Could Impact Its Valuation – Forbes
  63. How to save Twitter, two pennies at a time – The Denver Post
  64. How Understanding Identity Can Help Avoid Fraudulent Traffic – DMNews
  65. Fake accounts scandal weighs on Twitter boss – The Times
  66. Pressure Grows on Twitter CEO Dorsey Amid Bot Scandal – The Street
  67. CMO Today: Marketers and Political Wonks Gather for SXSW – The Wall Street Journal
  68. Huge number of Twitter accounts are not operated by humans – ABC News
  69. Early Twitter investor Chris Sacca says he ‘hates’ the stock, calls bot issue ‘embarrassing’ – CNBC
  70. Up to 48 million Twitter accounts are bots, study says – CNET
  71. R u bot or not? – VICE
  72. New Machine Learning Framework Uncovers Twitter’s Vast Bot Population – VICE/Motherboard
  73. A Whopping 48 Million Twitter Accounts Are Actually Just Bots, Study Says – Tech Times
  74. 15 Percent Of Twitter Accounts May Be Bots [STUDY] – Value Walk
  75. Why the Rise of Bots is a Concern for Social Networks – Enterpreneuer
  76. Study reveals whopping 48M Twitter accounts are actually bots – CBS News
  77. Twitter is home to nearly 48 million bots, according to report – The Daily Dot
  78. As many as 48 million Twitter accounts aren’t people, says study – CNBC
  79. New Study Says 48 Million Accounts On Twitter Are Bots – We are social media
  80. Almost 48 million Twitter accounts are bots – Axios
  81. Twitter user accounts: around 15% or 48 million are bots [study] – The Vanguard
  82. Report: 48 Million Twitter Accounts Are Bots – Breitbart
  83. Rise of the TWITTERBOTS – Daily Mail
  84. 15 per cent of Twitter is bots, but not the Kardashian kind – The Inquirer
  85. 48 mn Twitter accounts are bots, says study – The Economic Times
  86. 9-15 per cent of Twitter accounts are bots, reveals study – Financial Express
  87. Nearly 48 million Twitter accounts are bots: study – Deccan herald
  88. Study: Nearly 48 Million Twitter Accounts Are Fake; Many Push Political Agendas – The Libertarian Republic
  89. As many as 48 million accounts on Twitter are actually bots, study finds – Sacramento Bee
  90. Study Reveals Roughly 48M Twitter Accounts Are Actually Bots – CBS DFW
  91. Up to 48 million Twitter accounts may be Bots – Financial Buzz
  92. Up to 15% of Twitter accounts are not real people – Blasting News
  93. Tech Bytes: Twitter is Being Invaded by Bots – WDIO Eyewitness News
  94. About 9-15% of Twitter accounts are bots: Study – The Indian Express
  95. Twitter Has Nearly 48 Million Bot Accounts, So Don’t Get Hurt By All Those Online Trolls – India Times
  96. Twitter May Have 45 Million Bots on Its Hands – Investopedia
  97. Bots run amok on Twitter – My Broadband
  98. 9-15% of Twitter accounts are bots: Study – MENA FN
  99. Up To 15 Percent Of Twitter Users Are Bots, Study Says – Vocativ
  100. 48 million active Twitter accounts could be bots – Gearbrain
  101. Study: 15% of Twitter accounts could be bots – Marketing Dive
  102. 15% of Twitter users are actually bots, study claims – MemeBurn
  103. Almost 48 million Twitter accounts are bots – Click Lancashire
  104. As many as 48 million or around 15% of Twitter accounts are bots – TechWorm
  105. Twitter Has an Overwhelming 48 Million Bot Accounts – GineersNow
  106. Data Mining Reveals the Rise of ISIS Propaganda on Twitter – MIT Technology Review
  107. Data Mining Technology Helped Analyze ISIS Rise to Power – iHLS
  108. As a conservative Twitter user sleeps, his account is hard at work – Washington Post
  109. How a Chicago man posts hundreds of pro-Trump tweets each day – Daily Herald
  110. You’ve probably been tricked by fake news and don’t know it – Science News
  111. Twitter Bots Favored Trump Leading Up to Election – U.S. News
  112. How the Bot-y Politic Influenced This Election – MIT Technology Review
  113. Facebook, Twitter & Trump – The New York Review of Books
  114. How Twitter bots played a role in electing Donald Trump – WIRED
  115. Twitter Bots Pollute Public’s Understanding of Politics – Newsweek
  116. How Twitter bots helped Donald Trump win the US presidential election – Arstechnica
  117. On Twitter, No One Knows You Are a Trump Bot – Fast Company
  118. The Algorithmic Democracy – Fast Co. Design
  119. Election 2016 Belongs to the Twitter Bots – VICE
  120. USC Study Finds Many Political Tweets Come From Fake Accounts – CACM News
  121. Almost a fifth of election chatter on Twitter comes from bots – Fusion
  122. Study reports that nearly 20% of election-related tweets were ‘algorithmically driven’ – Talking New Media
  123. How Twitter bots affected the US presidential campaign – The Conversation
  124. Advertising is driving social media-fuelled fake news and it is here to stay – The Conversation
  125. 20% of All Election Related Tweets Came From Non-Humans – Futurism
  126. Twitter Bots Dominate 2016 Presidential Election: New Study – Heavy
  127. Tracking The Election With Social Media In Real-Time: How Accurate Is It? – Heavy
  128. BOTS ‘SWAY’ ELECTION Fake tweets by social media robots could swing US Presidential election – The Sun
  129. A fifth of all US election tweets have come from bots – ABC News
  130. The Trump factor tipped to spread to Australian politics as Aussie Truthers push on social media – News .com.au
  131. There are 400,000 Bots That Just Tweet Political Views All Day – Investopedia
  132. Real, or not? USC study finds many political tweets come from fake accounts – Science Blog
  133. Software bots distort Donald Trump support on Twitter: Study – ETCIO
  134. How hackers, social bots, data analysts shaped the U.S. election – The Nation
  135. That swarm of political tweets in your feed? Many could be from bots – The Business Journals
  136. Software ‘bots’ distort Trump support on Twitter – New Vision
  137. Bots Invade Twitter, Spreads Misinformation On US Election – EconoTimes
  138. Software ‘bots’ seen skewing support for Trump on Twitter – The Japan Times
  139. US Presidential Elections 2016: Bot-generated fake tweets influencing US election outcome, says new study – Indian Express
  140. US elections 2016: Researchers show how Twitter bots are trying to influence the poll in favour of Trump – International Business Times
  141. Aliens, and the autopsy into Hillary Clinton’s political death – Toronto SUN
  142. Hillary vs Trump: Most of the election chatter online by Twitter bots, says study – Tech 2 First Post
  143. Twitter bots distort Trump support – iAfrica
  144. Social Media ‘Bots’ Working To Influence U.S. Election – CBS San Francisco
  145. Almost a fifth of election chatter on Twitter comes from bots – Full Act
  146. Software ‘bots’ distort Trump support on Twitter: study – Yahoo! News
  147. Bots Will Break 2016 US Elections Results – iTechPost
  148. Scientist Worries Robot-Generated Tweets Could Compromise The Presidential Election – Newsroom America
  149. Software ‘bots’ distort Trump support on Twitter: study – Phys.org
  150. Spotlight: Fake tweets endanger integrity of U.S. presidential election – XinhuanNet
  151. New Study: Twitter Bots Amount for One-Fifth of US Election Conversation – Dispatch Weekly
  152. Are Robot generated Tweets compromising US Polls? – TechRadar India
  153. Fake tweets endanger integrity of US presidential election – Global Times
  154. Software ‘bots’ distort Trump support on Twitter: study – The Daily Star
  155. Software ‘bots’ distort Trump support on Twitter: study – News Dog
  156. Malicious Twitter bots could have profound consequences for the election – RawStory
  157. ‘Robot-generated fake tweets influencing US election outcome’ – Daily News & Analysis
  158. Sophisticated Bot-Generated Tweets Could Influence Outcome of US Presidential Election – Telegiz
  159. UIC Journal Shows ‘Bots’ Sway Political Discourse, Could Impact Election – NewsWise
  160. Bot-generated tweets could threaten integrity of 2016 US presidential election: Study – BGR
  161. Bot generated tweets influence US Presidential election polls – I4U News
  162. High percentage of robot-generated fake tweets likely to influence public opinion – NewsGram
  163. ‘Robot-generated fake tweets influencing US election outcome’ – Press Trust of India
  164. Robot-generated fake tweets influencing US election outcome: Study – IndianExpress
  165. Fake Tweets, real consequences for the election – Phys.org
  166. Real, or not? USC study finds many political tweets come from fake accounts – USC News
  167. We’re in a digital world filled with lots of social bots – USC News
  168. 23 reasons to get excited about data – IBM Watson Analytics
  169. Algorithm knows when corporate money is pushing memes online – New Scientist
  170. Algorithm identifies artificially promoted Twitter memes and hashtags – The Stack
  171. La fórmula científica que te podría convertir en la próxima Cara Delevingne – Vanitatis
  172. Social Network Sleuths: Investigators Pursue Criminal Gangs Via Phone Chatter – Homeland Security Today
  173. The More You Comment Online, The Dumber Your Comments Become – Huffington Post
  174. The longer you’re on the web, the less interesting your commentary becomes – USC News
  175. Cool study, bro: Why Reddit comments degrade over time – USC Press Room
  176. On Twitter, your positive tweets are actually contagiousThe Daily Dot
  177. Happiness is contagious – USC Viterbi News
  178. Pro-Trump Twitter Bots at Center of Nevada Mystery – Wall Street Journal
  179. How Ebola Infected Twitter: When it comes to sharing online, nothing spreads like fear – Nautilus
  180. Web of lies: Is the internet making a world without truth? – New Scientist
  181. The Top 100 Big Data Experts to Follow in 2016 – Maptive
  182. How DARPA Took On the Twitter Bot Menace with One Hand Behind Its Back – MIT Technology Review
  183. The US government held a contest to identify evil propaganda robots on Facebook and Twitter – Business Insider
  184. Why you need to purge your Twitter feed of angry peopleThe Telegraph
  185. Twitter Emotions Are Contagious, Says New Study, But At Least The Positive Ones Are More So Than The Negative OnesBustle
  186. Twitter users more likely to share happiness than sadness – The Rakyat Post
  187. Twitter reacts positively to upbeat emotions, study findsUSC News
  188. Positive emotions more contagious than negative ones on TwitterPhys.org
  189. On Twitter, Is the Next POTUS a Bot-US?Wall Street Journal
  190. Why Does Facebook Keep Suggesting You Friend Your Tinder Matches?Vice
  191. New data suggest social media brings out the best in us, after allQuartz
  192. Bad news travels fast but positive posts spread wideThe Straits Times
  193. Positive content has greater reachBusiness First Magazine
  194. Data Shows that Positive Content Does Better on Social MediaGood
  195. Why can’t Twitter kill its bots?Fusion
  196. The Algorithm of Instagram FashionThe Science Times
  197. THE SCIENCE OF A SUPERMODELVogue
  198. Here’s how to predict next season’s breakout starsDazed
  199. Instagram Can Determine Which Models Rule the Runway at Fashion WeekStyleCaster
  200. Instagram to predict next ‘It Girl’?HLN Tv
  201. Wondering Who’ll Be This Season’s Breakout Models? Apparently There’s A Mathematical Formula For ThatGrazia Daily
  202. Study Concludes Runway Models With Hips Have a Harder Time Being It Girls – Styleite
  203. FMD Featured in Indiana University Study to Predict Popular Models for NYFWSBWire
  204. NYFW: Instagram May Be Able To Predict Fashion Week’s Top ModelsUniversity Herald
  205. Scientists Can Now Predict How Successful A Model Will BeAskMen
  206. Stylebook snapshot: Researchers study impact of Instagram on models’ successPittsburg Post Gazette
  207. VIDEO: Instagram can predict top models for New York Fashion WeekIrish Examiner
  208. America’s Next Top Model Cycle 22 Winner Predicted By Instagram? Scientists Create Algorithm That Can Do ThatiSchoolGuide
  209. FOLLOWING INSTAGRAM MODELS FOR SCIENCE AND FASHION WEEKNews Ledge
  210. Instagram Correctly Predicts 80% Of Next Top Models At Fashion EventYibada
  211. Instagram can now predict who America’s Next Top Model will beDigital Trends
  212. INSTAGRAM WILL TELL YOU ABOUT TOP MODELS AT THE NEW YORK FASHION WEEKThe Market Business
  213. INSTAGRAM IS QUITE GOOD AT PREDICTING WHO THE NEXT TOP MODEL WILL BERegal Tribune
  214. Instagram can help predict a model’s successRed Orbit
  215. INSTAGRAM CAN HELP PREDICT INDUSTRY’S NEXT TOP MODELThe Market Business
  216. INSTAGRAM CAN MAKE ACCURATE PREDICTIONS ON SUPERMODELS’ POPULARITYMirror Daily
  217. SCIENTISTS CAN PREDICT AMERICA’S NEXT TOP MODELWall Street Hedge
  218. NEW ALGORITHM CAN HELP INSTAGRAM PREDICT AMERICA’S NEXT TOP MODELUtah People’s Post
  219. Instagram can predict the NYFW next top model with 80 percent accuracyInferse
  220. Is Instagram the new runway for fashion?Daily O
  221. How Instagram Can Predict Next Supermodels?My Tech Bits
  222. INSTAGRAM WILL TELL YOU WHO IS THE NEXT TOP MODELApex Tribune
  223. Algorithm using Instagram data can predict upcoming top modelNorthern Californian
  224. NYFW: Instagram Could Predict The Next Top ModelUniversity Herald
  225. Instagram Can Now Be Used to Predict the Fashion World’s Next SupermodeliDigitalTimes Australia
    Instagram, Social Media, and New York Fashion WeekPioneer News
  226. Instagram Predicts Future Of Modeling PopularityPress Examiner
  227. Instagram Predicts A Model’s Future Popularity According To Social ScientistsBustle
  228. IU SCIENTISTS CAN PREDICT AMERICA’S NEXT TOP MODEL USING INSTAGRAMI4U
  229. Instagram Could Be Used To Identify Popularity Level Of Modelsubergizmo
  230. Instagram will tell you industry’s next top modelNature World Report
  231. Next Year’s Fashion Trends: Indiana University Algorithm Employs Instagram Data To Predict The Next Top Models Immortal News
  232. Popularity of models can be gauged using Instagram, study showsTechienews
  233. INSTAGRAM CAN HELP PREDICT INDUSTRY’S NEXT TOP MODELThe market business
  234. TOP MODELS’ SUCCESS NOW DEPENDS UPON THEIR INSTAGRAM POPULARITYTrinity News Daily
  235. Who will be America’s next top model? Ask InstagramCBS News
  236. This Machine-Learning Algorithm Can Predict the Next Top ModelThe Fashion Spot
  237. New York Fashion Week 2015: Can Scientists Use Instagram To Identify Budding Models?iDigitalTimes
  238. Want To Know If You Can Be A Fashion Model? There’s A Machine-Learning Algorithm For ThatTech Times
  239. SCIENTISTS CAN USE INSTAGRAM TO PREDICT FASHION WEEK’S BIGGEST MODELSHarper’s Bazaar
  240. Scientists Can Now Predict Top Models. Sorry, TyraYahoo! Style
  241. Scientists Figure Out a Formula to Determine Top Model SuccessRacked
  242. Can You Scientifically Predict a Model’s Success?New York Magazine
  243. Machine Learning Algorithm Predicts Which New Faces Will Make It as Fashion ModelsMIT Technology Review
  244. Machine Learning Selects World’s Next Top ModelsCommunications of the ACM
  245. Slack Is Overrun With Bots. Friendly, Wonderful BotsWIRED
  246. The science of SUPERMODELS: Researchers create algorithm that scours Instagram to find the best new talentDaily Mail UK
  247. Machine learning selects world’s next top models it News
  248. IU scientists use Instagram data to forecast top models at New York Fashion WeekIU Bloomington newsroom
  249. This new study suggests sad tweets make you sadFusion
  250. The Power Of Twitter’s Emotional Influence Focus News
  251. Emotions in Tweets Are Contagious: StudyNDTV
  252. Emotions in tweets are contagious Business Standard
  253. Emotions on Twitter are contagious, says studyDNA
  254. ‘Sleeping beauty’ papers slumber for decadesNature News
  255. Even Einstein’s Research Can Take Time to MatterNew York Times
  256. ‘Sleeping beauty’ studies ahead of their timeABC Science
  257. Like Sleeping Beauty, some research lies dormant for decades, study findsPhys.org
  258. The Dayside : Kissed by a princePhysics Today
  259. The Sleeping Beauties of SciencePacific Standard
  260. Quando la ricerca è una “bella addormentata”Le Scienze
  261. Paper all’avanguardia: fanno il botto decenni dopo la pubblicazioneOggi Scienza
  262. ‘Sleeping Beauty’ studies don’t pay off for decadesFuturity
  263. Sleeping Beauty Research Papers Can Languish For Decades, Even For Albert Einstein – Tech Times
  264. Like Sleeping Beauty, Some Research Lies Dormant for Decades News Wise
  265. El estudio de Einstein que resucitó a los 60 años y otras bellas durmientesEl Pais
  266. ‘Sleeping Beauty’ Studies Don’t Pay Off for DecadesEpoch Times
  267. Like Sleeping Beauty, some research lies dormant for decades, IU study finds Indiana University Newsroom
  268. Bot or Not? By James GleickThe New York Review of Books
  269. Twitter’s Bot Problem: Katy Perry, Taylor Swift, Justin Bieber, Rihanna And Other Musicians Have Mostly Fake Followings International Business Times
  270. Why Fear Spreads Faster Than Facts on Social MediaHootsuite
  271. In Social Networking, ‘Weak’ Connections May Be the Most PowerfulVice.com
  272. Fear, Misinformation, and Social Media Complicate Ebola FightTIME
  273. Social media can improve, muddy election campaignsPittsburgh Tribune-Review
  274. How To Spot A Social Bot On TwitterMIT Technology Review
  275. Barack Obama Is Probably a Robot, and Other Lessons from ‘Bot Or Not’Vice.com
  276. Social Bots on Twitter are More Than a Minor NuisanceSocial Times
  277. An Algorithm To Identify Social Bot on Twitter Value Walk
  278. Lying, spamming and scamming on the webThe Spectator
  279. This Algorithm Tells You If A Twitter Account Is a Spam BotMashable
  280. How to Spot A Bot… or Find Out If You Sound Like OneABC News
  281. Lo strumento per distinguere bot e umani su TwitterWired.it
  282. Indiana University Will Devote $1 Million to the Study of Internet MemesThe Mary Sue
  283. The U.S. government is spending $1 million to figure out memesThe Daily Dot
  284. U.S. Military Sends Scouting Party Into the TwitterverseTIME
  285. US military studied how to influence Twitter users in Darpa-funded researchThe Guardian
  286. Twitter Inc Users Studied By US Military In Darpa-Funded ResearchValue Walk
  287. How online ‘chatbots’ are already tricking youBBC
  288. ‘Bot or Not’ App Susses Out Twitter SpambotsTom’s Guide
  289. Computer scientists develop tool for uncovering bot-controlled Twitter accountsPhys.org
  290. IU computer scientists develop tool for uncovering bot-controlled Twitter accountsIU Newsroom
  291. Criminal Gang Connections Mapped via Phone MetadataCommunications of the ACM
  292. New software can map criminal gang connectionsThe Free Press Journal
  293. Gangster science: How police use network theory to track gang membersThe Daily Dot
  294. New software can map criminal gang connectionsBusiness Standard
  295. IU researcher helps Italian police fight crimeThe Washington Times
  296. Criminal gang connections mapped via phone metadataNew Scientist
  297. Mafia Wars: How Italy’s Secret Police Use Metadata To Track Organized CrimeFast Company
  298. LogAnalysis maps the structure of gangs using phone recordsEngadget
  299. How to Detect Criminal Gangs Using Mobile Phone Data MIT Technology Review
  300. Complex networks researcher at IU fighting crime with mobile phone data IU Newsroom
  301. One Tweet if by Land Newsweek
  302. Where do Twitter trends start? Try CincinnatiThe Washington Post
  303. Study: Seattle is top Twitter trendsetter in the U.S.The Seattle Times
  304. The Top Five Trend-Setting Cities on TwitterMIT Technology Review
  305. Study Finds Cincinnati Is Major Twitter Trendsetter in U.S. CityBeat
  306. Seattle generates more nationally-trending topics on Twitter than any other U.S. city, study says GeekWire
  307. Cincinnati is leading the way on TwitterCincyBizBlog
  308. The Anatomy of the Occupy Wall Street Movement on TwitterMIT Technology Review
  309. Data dance, big data and data miningThe Why Files
  310. Cell phone data analysis dials in crime networksScience News
  311. Using statistics to catch cheats and criminalsPhysics Today
  312. Bond with the best: FaceBook vs TwitterTechKnowBits.com
  313. Study: Facebook Builds Better Communities Than TwitterThe Atlantic
  314. Facebook Builds Stronger Bonds Than Twitter, Study SaysMashable
  315. Study shows similarities between Facebook and real-world communitiesLeaders West
  316. Does Facebook Really Create Stronger Bonds Than Twitter?Daily lounge
  317. Facebook Encourages Stronger Bonds Over Twitter: Studyhashtags.org
  318. Facebook and Strongly Connected CommunitiesCornell University
  319. Driven by friendshipSpringerSelect
  320. Facebook is a communityScience Daily
  321. Data-Mining FacebookIdiro Technologies

Press in non-English media

  1. Del mito a la realidad: hasta dónde puede llegar la manipulación electoral de los votantes – infobae (in Spanish)
  2. Los ‘bots’ contaminaron el 1 de octubre con un millón de tuits – El Pais (in Spanish)
  3. Sui social, i bot hanno influenzato le elezioni statunitensi: Ora si guarda alla Germania – Consumerismo (in Italian)
  4. Bot economy e le leggi di Asimov – Data Manager Online (in Italian)
  5. Difundir noticias falsas es algo común para todos los gobiernos del mundo – Infobae (in Spanish)
  6. El uso de los los bots de Twitter – Panama On (in Spanish)
  7. Los bots aman a Trump y odian a Macron – La Vanguardia (in Spanish)
  8. La incidencia de Fake News en las campañas de Trump y Macron – TyN Magazine (in Spanish)
  9. Twitter bilgi kirliliğini besleyenlerin oyun sahası haline nasıl geliyor?Teyit (in Turkish)
  10. Președintele Trump, prietenul roboților ruși?Cotidianul (in Turkish)
  11. El debate político en Twitter se desinfló a comparación de 2015El Patagonico (in Spanish)
  12. Twitter ist ForschungWELT (in German)
  13. Wie Fake News entstehen und warum sie eine Gefahr darstellen – CT magazine (in German)
  14. El uso de ‘bots’ en las elecciones de Francia, por Donald Trump – Sipse (in Spanish)
  15. Ugyanazok a Twitter robotok kampányoltak Trumpnak és Le Pennek – 444 (in Ukranian)
  16. Pendant la présidentielle, les robots pro-Trump ont joué les anti-Macron sur Twitter – Mashable (in French)
  17. Présidentielle française : les robots pro-Trump ont joué les anti-Macron sur Twitter – France 24 (in French)
  18. Les 18.000 bots qui ont favorisé la diffusion des MacronLeaks – Slate (in French)
  19. Macron Leaks : Les bots pro-Trump utilisés dans la campagne de désinformation – Le Monde (in French)
  20. La falsa realidad creada por los bots en Twitter – The New York Times (in Spanish)
  21. Bad Bot oder Mensch – das ist hier die Frage – Medien Milch (in German)
  22. Studie: Bis zu 48 Millionen Twitter-Nutzer sind in Wirklichkeit Bots – T3N (in German)
  23. Der Aufstieg der Twitter-Bots: 48 Millionen Nutzer sind nicht menschlich – Studie – Sputnik News (in German)
  24. Studie: Bis zu 48 Millionen Nutzer auf Twitter sind Bots – der Standard (in German)
  25. “Blade Runner”-Test für Twitter-Accounts: Bot oder Mensch? – der Standard (in German)
  26. Bot-Paradies Twitter – Sachsische Zeitung (in German)
  27. 15 Prozent Social Bots? – DLF24 (in German)
  28. TWITTER: IST JEDER SIEBTE USER EIN BOT? – UberGizmo (in German)
  29. Twitter: Bis zu 48 Millionen Bot-Profile – Heise (in German)
  30. Studie: Bis zu 15 Prozent aller aktiven, englischsprachigen Twitter-Konten sind Bots – Netzpolitik (in German)
  31. Automatische Erregung – Wiener Zeitung (in German)
  32. 15 por ciento de las cuentas de Twitter son ‘bots’: estudio – CNET (in Spanish)
  33. 48 de los 319 millones de usuarios activos de Twitter son bots – TIC Beat (in Spanish)
  34. 15% de las cuentas de Twitter son ‘bots’ – Merca 2.0 (in Spanish)
  35. 48 de los 319 de usuarios activos en Twitter son bots – MDZ (in Spanish)
  36. Twitter, paradis des «bots»? – Slate (in French)
  37. Twitter compterait 48 millions de comptes gérés par des robots – MeltyStyle (in French)
  38. Twitter : 48 millions de comptes sont des bots – blog du moderateur (in French)
  39. ’30 tot 50 miljoen actieve Twitter-accounts zijn bots’ – NOS (in Dutch)
  40. 48 εκατομμύρια χρήστες στο Twitter δεν είναι άνθρωποι, σύμφωνα με έρευνα Πηγή – LiFo (in Greek)
  41. 48 triệu người dùng Twitter là bot và mối nguy hại – Khoa Hoc Phattrien (in Vietnamese)
  42. Post-vérité – La revue européenne des médias et du numérique (in French)
  43. Twitter, 25 mila account dell’Isis – Pagina99 (in Italian)
  44. Trump su Twitter ha un esercito di bot – Il Post (in Italian)
  45. La violencia extrema del Dáesh en Twitter le ayudó a alzarse frente a Al Qaeda – MIT Technology Review (in Spanish)
  46. Così funziona la propaganda politica a colpi di bot su Twitter – La Stampa (in Italian)
  47. Así explica la ciencia la difusión de noticias falsas en los medios de comunicaciónEl Periodico (in Spanish)
  48. 10 conductas muy contagiosas – Muy Interesante (in Spanish)
  49. Robots behind the millions of tweets: “The integrity at danger” – Svenska Dagbladet (in Swedish)
  50. Elezioni Usa: il 19% dei tweet elettorali è prodotto da software – Repubblica (in Italian)
  51. ¿Cómo nos engañan los ‘bots’ online? – Autobild.es (in Spanish)
  52. El atroz encanto del terror – La Nacion (in Spanish)
  53. La bella addormentata non è una favola di Natale – Giornale dell’università di Padova (in Italian)
  54. Lo que encontramos en las redes sociales afecta cada vez más a nuestro estado de ánimoPuro Marketing (in Spanish)
  55. Tuitea la alegría, que eso se pegaPrimera Hora (in Spanish)
  56. Cómo Facebook y Twitter pueden influir en tu estado de ánimoLa Nacion (in Spanish)
  57. Study: Twitter “infects” people with positive emotionsGazeta.ru (in Russian)
  58. La joie, un sentiment virtuellement plus partagé que la tristesse sur TwitterLe Soir (in French)
  59. La joie, plus partagée que la tristesse sur TwitterLuxemburg Wort (in French)
  60. Modelle e top model, dietro il successo c’è una formula matematicaGrazia (in Italian)
  61. Come cambia la bellezza al tempo di Instagram – La Stampa (in Italian)
  62. Buzz Mode : Instagram ou la clé du succès des mannequins selon une étude de l’université de l’IndianaMelty Fashion (in French)
  63. TOP MODEL, IL SUCCESSO È IN UN ALGORITMOLettera Donna (in Italian)
  64. Un algoritmo italiano prevede il successo delle top modelCorriere (in Italian)
  65. La scienza della “super modella”: arriva l’algoritmo per scovare nuovi talenti sui socialFanpage (in Italian)
  66. Cientistas criam algoritmo que prevê o sucesso das modelos através do InstagramVisão (in Portuguese)
  67. A computer algorithm can predict the popularity of top modelsVesti (Вести.Ru in Russian)
  68. Tomorrow: the United States develop software to predict IG supermodel accuracy rate of 80%Chinatimes (in Chinese)
  69. Likes are more important than the perfect dress size Die Welt (in German)
  70. Twitterbots manipulate political debates and marketsFuturezone (in German)
  71. Il messaggio vola su FacebookFocus (pp. 78 n. 244 – Febbraio 2013) (in Italian)
  72. Come si diffondono le conversazioni? we are social (in Italian)
  73. I confini della socializzazione: non tutto si può condividereMarketingArena (in Italian)