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 

Press Coverage

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

Press in non-English media

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