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. Social Media Bots Deceive E-cigarette Users – Scientific American
  2. Twitter bots were more active than previously known during the 2018 midterms – CNBC
  3. Majority of Twitter bots affecting US elections originated from Russia and Iran – Devdiscourse
  4. About 20% of election posts on Twitter last fall were ‘bots,’ study says – Breitbart
  5. Thousands of Twitter bots active during 2018 US mid-term elections – The Economic Times
  6. How Twitter bots get people to spread fake news – ScienceNews
  7. Study: It only takes a few seconds for bots to spread misinformation – ArsTecnica
  8. Bots actually target and pursue individual influencers – EurekAlert!
  9. The charge of the chatbots: how do you tell who’s human online? – The Guardian
  10. Facebook’s Secret Weapon for Fighting Election Interference: The Government – Bloomberg
  11. Surge in anonymous Asia Twitter accounts sparks bot fears – The Japan Times
  12. The endless game of cat and mouse with spammers – Eureka
  13. Fake news is about to get a lot worse. That will make it easier to violate human rightsThe Washington Post
  14. The Big, Bad Bot Problem – The Ringer
  15. Twitter Cracks Down on Bot Abuse – How Stuff Works
  16. Conservatives amplified Russian trolls 30 times more often than liberals in 2016 – Vox
  17. US conservatives spread tweets by Russian trolls over 30 times more often than liberals – MIT Tech Review
  18. How to Stop Russia From Wrecking Election 2018 – Daily Beast
  19. Twitter has been ignoring its fake account problem for yearsColumbia Journalism Review
  20. Twitter’s huge bot problem is out of the bagCNET
  21. Putin’s Pro-Trump Trolls Just Targeted Hillary Clinton and Robert Mueller – Mother Jones
  22. Twitter urged firms to delete data during 2016 campaign – POLITICO
  23. Bot-hunting Twitter bot sniffs out bogus political tweets – TechCrunch
  24. This new Twitter account hunts for bots that push political opinions – Quartz
  25. Lies, statistics and Twitter – Millennium Post
  26. Social media bots are a real problem and California may regulate them – Medianama
  27. Watch: Five Ways the Internet Is Destroying Society – IEEE Electronics 360
  28. Ending fake news means changing how Wall Street values Facebook and Twitter – Quartz
  29. Trolls, bots and fake news: the mysterious world of social media manipulation – Newsweek
  30. Twitter Bots Distorted the 2016 Election—Including Many Likely From Russia – Mother Jones
  31. Researcher Emilio Ferrara talks about the rise of fake news and botnets – Tech Crunch
  32. These Scientists Wanted To Understand Twitter’s Bot Armies, So They Built Their Own – Fast Company
  33. Senator Slams Twitter’s Disclosure On Russian Meddling As ‘Inadequate On Every Level’ – Forbes
  34. Twitter’s Disclosure of Russian Activity Sparks Criticism From Lawmakers – The Wall Street Journal
  35. Twitter takes its turn in the Russian probe spotlight – Politico
  36. Twitter Says It Found 201 Russia-Linked Accounts That Aimed to Influence U.S. Election – Fox Business
  37. TWITTER STORMS – Civicist
  39. Fake News on Twitter Flooded Swing States That Helped Trump Win – Mother Jones
  40. Twitter to Testify Before Senate in Russia Probe – US News
  41. Researchers find that Twitter bots can be used for good – Tech Crunch
  42. Twitter Bots Can Encourage Decent Conduct, Not Just Fake News – News18
  43. Twitter bots for good: USC ISI study reveals how information spreads on social media – EurekAlert!
  44. Germany Election So Far Unaffected by ‘Fake News’ – Snopes
  45. Social media ‘bots’ tried to influence the U.S. election. Germany may be nextScience
  46. Computational propaganda poses challengeGlobal Times
  47. Russia’s propaganda machine amplifies alt-right – The Hill
  48. #FireMcMaster, Not Damore: Twitter Bots Are Thriving, And They’re More Lethal Than Ever – Fast Company
  49. Why didn’t Macron leaks carry more clout in the French presidential election? USC News
  50. The curious case of ‘Nicole Mincey,’ the Trump fan who may actually be a botThe Washington Post
  51. Trump Thanked A ‘Supporter’ On Twitter, Then A Mystery UnraveledA Plus
  52. Spreading fake news becomes standard practice for governments across the world – The Washington Post
  53. One in five bots sharing fake news during France’s presidential election were also involved in the United States’ – ZME Science
  54. Black-market bots, duped humans are responsible for derailing elections with fake news – ThinkProgress
  55. Study: Bots have turned Twitter into a powerful political disinformation platform – Venture Beat
  56. Fake news bots are so economical, you can use them over and over – Harvard NiemanLab
  57. Pro-Trump Twitter bots were also used to target Macron, research shows – The Verge
  58. There’s a Bit of Overlap Between Bots Trying to Manipulate American and French Elections – New York Magazine
  59. Research links pro-Trump, anti-Macron Twitter bots – The Hill
  60. The Same Twitter Bots That Helped Trump Tried to Sink Macron, Researcher Says – VICE
  61. How the Hashtag Is Changing Warfare – SIGNAL
  62. How Twitter Is Being Gamed to Feed Misinformation – New York Times
  63. ‘Something fishy’ is going on with Trump’s twitter account, researchers say – Washington Post
  64. Inside Russia’s Social Media War on America – TIME (cover story)
  65. The Twitter Bots Who Tried to Steal France – Daily Beast
  66. When Facebook and Instagram Think You’re Depressed – VICE
  67. Twitter Has a Serious Problem—And It’s Actually a Bigger Deal Than People Realize – Mother Jones
  68. Sleeping Beauties of Science – Scientific American
  69. Twitter Bot — or Not? – The New York Times
  70. After political Twitter bot revelation, are companies at risk? – Computer World
  71. Searching for proof of Amy – San Francisco Examiner
  72. News That 48 Million Of Twitter’s Users May Be Bots Could Impact Its Valuation – Forbes
  73. How to save Twitter, two pennies at a time – The Denver Post
  74. How Understanding Identity Can Help Avoid Fraudulent Traffic – DMNews
  75. Fake accounts scandal weighs on Twitter boss – The Times
  76. Pressure Grows on Twitter CEO Dorsey Amid Bot Scandal – The Street
  77. CMO Today: Marketers and Political Wonks Gather for SXSW – The Wall Street Journal
  78. Huge number of Twitter accounts are not operated by humans – ABC News
  79. Early Twitter investor Chris Sacca says he ‘hates’ the stock, calls bot issue ‘embarrassing’ – CNBC
  80. Up to 48 million Twitter accounts are bots, study says – CNET
  81. R u bot or not? – VICE
  82. New Machine Learning Framework Uncovers Twitter’s Vast Bot Population – VICE/Motherboard
  83. A Whopping 48 Million Twitter Accounts Are Actually Just Bots, Study Says – Tech Times
  84. 15 Percent Of Twitter Accounts May Be Bots [STUDY] – Value Walk
  85. Why the Rise of Bots is a Concern for Social Networks – Enterpreneuer
  86. Study reveals whopping 48M Twitter accounts are actually bots – CBS News
  87. Twitter is home to nearly 48 million bots, according to report – The Daily Dot
  88. As many as 48 million Twitter accounts aren’t people, says study – CNBC
  89. New Study Says 48 Million Accounts On Twitter Are Bots – We are social media
  90. Almost 48 million Twitter accounts are bots – Axios
  91. Twitter user accounts: around 15% or 48 million are bots [study] – The Vanguard
  92. Report: 48 Million Twitter Accounts Are Bots – Breitbart
  93. Rise of the TWITTERBOTS – Daily Mail
  94. 15 per cent of Twitter is bots, but not the Kardashian kind – The Inquirer
  95. 48 mn Twitter accounts are bots, says study – The Economic Times
  96. 9-15 per cent of Twitter accounts are bots, reveals study – Financial Express
  97. Nearly 48 million Twitter accounts are bots: study – Deccan herald
  98. Study: Nearly 48 Million Twitter Accounts Are Fake; Many Push Political Agendas – The Libertarian Republic
  99. As many as 48 million accounts on Twitter are actually bots, study finds – Sacramento Bee
  100. Study Reveals Roughly 48M Twitter Accounts Are Actually Bots – CBS DFW
  101. Up to 48 million Twitter accounts may be Bots – Financial Buzz
  102. Up to 15% of Twitter accounts are not real people – Blasting News
  103. Tech Bytes: Twitter is Being Invaded by Bots – WDIO Eyewitness News
  104. About 9-15% of Twitter accounts are bots: Study – The Indian Express
  105. Twitter Has Nearly 48 Million Bot Accounts, So Don’t Get Hurt By All Those Online Trolls – India Times
  106. Twitter May Have 45 Million Bots on Its Hands – Investopedia
  107. Bots run amok on Twitter – My Broadband
  108. 9-15% of Twitter accounts are bots: Study – MENA FN
  109. Up To 15 Percent Of Twitter Users Are Bots, Study Says – Vocativ
  110. 48 million active Twitter accounts could be bots – Gearbrain
  111. Study: 15% of Twitter accounts could be bots – Marketing Dive
  112. 15% of Twitter users are actually bots, study claims – MemeBurn
  113. Almost 48 million Twitter accounts are bots – Click Lancashire
  114. As many as 48 million or around 15% of Twitter accounts are bots – TechWorm
  115. Twitter Has an Overwhelming 48 Million Bot Accounts – GineersNow
  116. Data Mining Reveals the Rise of ISIS Propaganda on Twitter – MIT Technology Review
  117. Data Mining Technology Helped Analyze ISIS Rise to Power – iHLS
  118. As a conservative Twitter user sleeps, his account is hard at work – Washington Post
  119. How a Chicago man posts hundreds of pro-Trump tweets each day – Daily Herald
  120. You’ve probably been tricked by fake news and don’t know it – Science News
  121. Twitter Bots Favored Trump Leading Up to Election – U.S. News
  122. How the Bot-y Politic Influenced This Election – MIT Technology Review
  123. Facebook, Twitter & Trump – The New York Review of Books
  124. How Twitter bots played a role in electing Donald Trump – WIRED
  125. Twitter Bots Pollute Public’s Understanding of Politics – Newsweek
  126. How Twitter bots helped Donald Trump win the US presidential election – Arstechnica
  127. On Twitter, No One Knows You Are a Trump Bot – Fast Company
  128. The Algorithmic Democracy – Fast Co. Design
  129. Election 2016 Belongs to the Twitter Bots – VICE
  130. USC Study Finds Many Political Tweets Come From Fake Accounts – CACM News
  131. Almost a fifth of election chatter on Twitter comes from bots – Fusion
  132. Study reports that nearly 20% of election-related tweets were ‘algorithmically driven’ – Talking New Media
  133. How Twitter bots affected the US presidential campaign – The Conversation
  134. Advertising is driving social media-fuelled fake news and it is here to stay – The Conversation
  135. 20% of All Election Related Tweets Came From Non-Humans – Futurism
  136. Twitter Bots Dominate 2016 Presidential Election: New Study – Heavy
  137. Tracking The Election With Social Media In Real-Time: How Accurate Is It? – Heavy
  138. BOTS ‘SWAY’ ELECTION Fake tweets by social media robots could swing US Presidential election – The Sun
  139. A fifth of all US election tweets have come from bots – ABC News
  140. The Trump factor tipped to spread to Australian politics as Aussie Truthers push on social media – News .com.au
  141. There are 400,000 Bots That Just Tweet Political Views All Day – Investopedia
  142. Real, or not? USC study finds many political tweets come from fake accounts – Science Blog
  143. Software bots distort Donald Trump support on Twitter: Study – ETCIO
  144. How hackers, social bots, data analysts shaped the U.S. election – The Nation
  145. That swarm of political tweets in your feed? Many could be from bots – The Business Journals
  146. Software ‘bots’ distort Trump support on Twitter – New Vision
  147. Bots Invade Twitter, Spreads Misinformation On US Election – EconoTimes
  148. Software ‘bots’ seen skewing support for Trump on Twitter – The Japan Times
  149. US Presidential Elections 2016: Bot-generated fake tweets influencing US election outcome, says new study – Indian Express
  150. US elections 2016: Researchers show how Twitter bots are trying to influence the poll in favour of Trump – International Business Times
  151. Aliens, and the autopsy into Hillary Clinton’s political death – Toronto SUN
  152. Hillary vs Trump: Most of the election chatter online by Twitter bots, says study – Tech 2 First Post
  153. Twitter bots distort Trump support – iAfrica
  154. Social Media ‘Bots’ Working To Influence U.S. Election – CBS San Francisco
  155. Almost a fifth of election chatter on Twitter comes from bots – Full Act
  156. Software ‘bots’ distort Trump support on Twitter: study – Yahoo! News
  157. Bots Will Break 2016 US Elections Results – iTechPost
  158. Scientist Worries Robot-Generated Tweets Could Compromise The Presidential Election – Newsroom America
  159. Software ‘bots’ distort Trump support on Twitter: study – Phys.org
  160. Spotlight: Fake tweets endanger integrity of U.S. presidential election – XinhuanNet
  161. New Study: Twitter Bots Amount for One-Fifth of US Election Conversation – Dispatch Weekly
  162. Are Robot generated Tweets compromising US Polls? – TechRadar India
  163. Fake tweets endanger integrity of US presidential election – Global Times
  164. Software ‘bots’ distort Trump support on Twitter: study – The Daily Star
  165. Software ‘bots’ distort Trump support on Twitter: study – News Dog
  166. Malicious Twitter bots could have profound consequences for the election – RawStory
  167. ‘Robot-generated fake tweets influencing US election outcome’ – Daily News & Analysis
  168. Sophisticated Bot-Generated Tweets Could Influence Outcome of US Presidential Election – Telegiz
  169. UIC Journal Shows ‘Bots’ Sway Political Discourse, Could Impact Election – NewsWise
  170. Bot-generated tweets could threaten integrity of 2016 US presidential election: Study – BGR
  171. Bot generated tweets influence US Presidential election polls – I4U News
  172. High percentage of robot-generated fake tweets likely to influence public opinion – NewsGram
  173. ‘Robot-generated fake tweets influencing US election outcome’ – Press Trust of India
  174. Robot-generated fake tweets influencing US election outcome: Study – IndianExpress
  175. Fake Tweets, real consequences for the election – Phys.org
  176. Real, or not? USC study finds many political tweets come from fake accounts – USC News
  177. We’re in a digital world filled with lots of social bots – USC News
  178. 23 reasons to get excited about data – IBM Watson Analytics
  179. Algorithm knows when corporate money is pushing memes online – New Scientist
  180. Algorithm identifies artificially promoted Twitter memes and hashtags – The Stack
  181. La fórmula científica que te podría convertir en la próxima Cara Delevingne – Vanitatis
  182. Social Network Sleuths: Investigators Pursue Criminal Gangs Via Phone Chatter – Homeland Security Today
  183. The More You Comment Online, The Dumber Your Comments Become – Huffington Post
  184. The longer you’re on the web, the less interesting your commentary becomes – USC News
  185. Cool study, bro: Why Reddit comments degrade over time – USC Press Room
  186. On Twitter, your positive tweets are actually contagiousThe Daily Dot
  187. Happiness is contagious – USC Viterbi News
  188. Pro-Trump Twitter Bots at Center of Nevada Mystery – Wall Street Journal
  189. How Ebola Infected Twitter: When it comes to sharing online, nothing spreads like fear – Nautilus
  190. Web of lies: Is the internet making a world without truth? – New Scientist
  191. The Top 100 Big Data Experts to Follow in 2016 – Maptive
  192. How DARPA Took On the Twitter Bot Menace with One Hand Behind Its Back – MIT Technology Review
  193. The US government held a contest to identify evil propaganda robots on Facebook and Twitter – Business Insider
  194. Why you need to purge your Twitter feed of angry peopleThe Telegraph
  195. Twitter Emotions Are Contagious, Says New Study, But At Least The Positive Ones Are More So Than The Negative OnesBustle
  196. Twitter users more likely to share happiness than sadness – The Rakyat Post
  197. Twitter reacts positively to upbeat emotions, study findsUSC News
  198. Positive emotions more contagious than negative ones on TwitterPhys.org
  199. On Twitter, Is the Next POTUS a Bot-US?Wall Street Journal
  200. Why Does Facebook Keep Suggesting You Friend Your Tinder Matches?Vice
  201. New data suggest social media brings out the best in us, after allQuartz
  202. Bad news travels fast but positive posts spread wideThe Straits Times
  203. Positive content has greater reachBusiness First Magazine
  204. Data Shows that Positive Content Does Better on Social MediaGood
  205. Why can’t Twitter kill its bots?Fusion
  206. The Algorithm of Instagram FashionThe Science Times
  208. Here’s how to predict next season’s breakout starsDazed
  209. Instagram Can Determine Which Models Rule the Runway at Fashion WeekStyleCaster
  210. Instagram to predict next ‘It Girl’?HLN Tv
  211. Wondering Who’ll Be This Season’s Breakout Models? Apparently There’s A Mathematical Formula For ThatGrazia Daily
  212. Study Concludes Runway Models With Hips Have a Harder Time Being It Girls – Styleite
  213. FMD Featured in Indiana University Study to Predict Popular Models for NYFWSBWire
  214. NYFW: Instagram May Be Able To Predict Fashion Week’s Top ModelsUniversity Herald
  215. Scientists Can Now Predict How Successful A Model Will BeAskMen
  216. Stylebook snapshot: Researchers study impact of Instagram on models’ successPittsburg Post Gazette
  217. VIDEO: Instagram can predict top models for New York Fashion WeekIrish Examiner
  218. America’s Next Top Model Cycle 22 Winner Predicted By Instagram? Scientists Create Algorithm That Can Do ThatiSchoolGuide
  220. Instagram Correctly Predicts 80% Of Next Top Models At Fashion EventYibada
  221. Instagram can now predict who America’s Next Top Model will beDigital Trends
  224. Instagram can help predict a model’s successRed Orbit
  229. Instagram can predict the NYFW next top model with 80 percent accuracyInferse
  230. Is Instagram the new runway for fashion?Daily O
  231. How Instagram Can Predict Next Supermodels?My Tech Bits
  233. Algorithm using Instagram data can predict upcoming top modelNorthern Californian
  234. NYFW: Instagram Could Predict The Next Top ModelUniversity Herald
  235. Instagram Can Now Be Used to Predict the Fashion World’s Next SupermodeliDigitalTimes Australia
    Instagram, Social Media, and New York Fashion WeekPioneer News
  236. Instagram Predicts Future Of Modeling PopularityPress Examiner
  237. Instagram Predicts A Model’s Future Popularity According To Social ScientistsBustle
  239. Instagram Could Be Used To Identify Popularity Level Of Modelsubergizmo
  240. Instagram will tell you industry’s next top modelNature World Report
  241. Next Year’s Fashion Trends: Indiana University Algorithm Employs Instagram Data To Predict The Next Top Models Immortal News
  242. Popularity of models can be gauged using Instagram, study showsTechienews
  245. Who will be America’s next top model? Ask InstagramCBS News
  246. This Machine-Learning Algorithm Can Predict the Next Top ModelThe Fashion Spot
  247. New York Fashion Week 2015: Can Scientists Use Instagram To Identify Budding Models?iDigitalTimes
  248. Want To Know If You Can Be A Fashion Model? There’s A Machine-Learning Algorithm For ThatTech Times
  250. Scientists Can Now Predict Top Models. Sorry, TyraYahoo! Style
  251. Scientists Figure Out a Formula to Determine Top Model SuccessRacked
  252. Can You Scientifically Predict a Model’s Success?New York Magazine
  253. Machine Learning Algorithm Predicts Which New Faces Will Make It as Fashion ModelsMIT Technology Review
  254. Machine Learning Selects World’s Next Top ModelsCommunications of the ACM
  255. Slack Is Overrun With Bots. Friendly, Wonderful BotsWIRED
  256. The science of SUPERMODELS: Researchers create algorithm that scours Instagram to find the best new talentDaily Mail UK
  257. Machine learning selects world’s next top models it News
  258. IU scientists use Instagram data to forecast top models at New York Fashion WeekIU Bloomington newsroom
  259. This new study suggests sad tweets make you sadFusion
  260. The Power Of Twitter’s Emotional Influence Focus News
  261. Emotions in Tweets Are Contagious: StudyNDTV
  262. Emotions in tweets are contagious Business Standard
  263. Emotions on Twitter are contagious, says studyDNA
  264. ‘Sleeping beauty’ papers slumber for decadesNature News
  265. Even Einstein’s Research Can Take Time to MatterNew York Times
  266. ‘Sleeping beauty’ studies ahead of their timeABC Science
  267. Like Sleeping Beauty, some research lies dormant for decades, study findsPhys.org
  268. The Dayside : Kissed by a princePhysics Today
  269. The Sleeping Beauties of SciencePacific Standard
  270. Quando la ricerca è una “bella addormentata”Le Scienze
  271. Paper all’avanguardia: fanno il botto decenni dopo la pubblicazioneOggi Scienza
  272. ‘Sleeping Beauty’ studies don’t pay off for decadesFuturity
  273. Sleeping Beauty Research Papers Can Languish For Decades, Even For Albert Einstein – Tech Times
  274. Like Sleeping Beauty, Some Research Lies Dormant for Decades News Wise
  275. El estudio de Einstein que resucitó a los 60 años y otras bellas durmientesEl Pais
  276. ‘Sleeping Beauty’ Studies Don’t Pay Off for DecadesEpoch Times
  277. Like Sleeping Beauty, some research lies dormant for decades, IU study finds Indiana University Newsroom
  278. Bot or Not? By James GleickThe New York Review of Books
  279. Twitter’s Bot Problem: Katy Perry, Taylor Swift, Justin Bieber, Rihanna And Other Musicians Have Mostly Fake Followings International Business Times
  280. Why Fear Spreads Faster Than Facts on Social MediaHootsuite
  281. In Social Networking, ‘Weak’ Connections May Be the Most PowerfulVice.com
  282. Fear, Misinformation, and Social Media Complicate Ebola FightTIME
  283. Social media can improve, muddy election campaignsPittsburgh Tribune-Review
  284. How To Spot A Social Bot On TwitterMIT Technology Review
  285. Barack Obama Is Probably a Robot, and Other Lessons from ‘Bot Or Not’Vice.com
  286. Social Bots on Twitter are More Than a Minor NuisanceSocial Times
  287. An Algorithm To Identify Social Bot on Twitter Value Walk
  288. Lying, spamming and scamming on the webThe Spectator
  289. This Algorithm Tells You If A Twitter Account Is a Spam BotMashable
  290. How to Spot A Bot… or Find Out If You Sound Like OneABC News
  291. Lo strumento per distinguere bot e umani su TwitterWired.it
  292. Indiana University Will Devote $1 Million to the Study of Internet MemesThe Mary Sue
  293. The U.S. government is spending $1 million to figure out memesThe Daily Dot
  294. U.S. Military Sends Scouting Party Into the TwitterverseTIME
  295. US military studied how to influence Twitter users in Darpa-funded researchThe Guardian
  296. Twitter Inc Users Studied By US Military In Darpa-Funded ResearchValue Walk
  297. How online ‘chatbots’ are already tricking youBBC
  298. ‘Bot or Not’ App Susses Out Twitter SpambotsTom’s Guide
  299. Computer scientists develop tool for uncovering bot-controlled Twitter accountsPhys.org
  300. IU computer scientists develop tool for uncovering bot-controlled Twitter accountsIU Newsroom
  301. Criminal Gang Connections Mapped via Phone MetadataCommunications of the ACM
  302. New software can map criminal gang connectionsThe Free Press Journal
  303. Gangster science: How police use network theory to track gang membersThe Daily Dot
  304. New software can map criminal gang connectionsBusiness Standard
  305. IU researcher helps Italian police fight crimeThe Washington Times
  306. Criminal gang connections mapped via phone metadataNew Scientist
  307. Mafia Wars: How Italy’s Secret Police Use Metadata To Track Organized CrimeFast Company
  308. LogAnalysis maps the structure of gangs using phone recordsEngadget
  309. How to Detect Criminal Gangs Using Mobile Phone Data MIT Technology Review
  310. Complex networks researcher at IU fighting crime with mobile phone data IU Newsroom
  311. One Tweet if by Land Newsweek
  312. Where do Twitter trends start? Try CincinnatiThe Washington Post
  313. Study: Seattle is top Twitter trendsetter in the U.S.The Seattle Times
  314. The Top Five Trend-Setting Cities on TwitterMIT Technology Review
  315. Study Finds Cincinnati Is Major Twitter Trendsetter in U.S. CityBeat
  316. Seattle generates more nationally-trending topics on Twitter than any other U.S. city, study says GeekWire
  317. Cincinnati is leading the way on TwitterCincyBizBlog
  318. The Anatomy of the Occupy Wall Street Movement on TwitterMIT Technology Review
  319. Data dance, big data and data miningThe Why Files
  320. Cell phone data analysis dials in crime networksScience News
  321. Using statistics to catch cheats and criminalsPhysics Today
  322. Bond with the best: FaceBook vs TwitterTechKnowBits.com
  323. Study: Facebook Builds Better Communities Than TwitterThe Atlantic
  324. Facebook Builds Stronger Bonds Than Twitter, Study SaysMashable
  325. Study shows similarities between Facebook and real-world communitiesLeaders West
  326. Does Facebook Really Create Stronger Bonds Than Twitter?Daily lounge
  327. Facebook Encourages Stronger Bonds Over Twitter: Studyhashtags.org
  328. Facebook and Strongly Connected CommunitiesCornell University
  329. Driven by friendshipSpringerSelect
  330. Facebook is a communityScience Daily
  331. 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)