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. How malicious Twitter bots evolve to evade detection – The Irish Times
  2. Twitter ‘Bots’ Becoming More ‘Human,’ Will Influence 2020 Presidential Election, New Research Study SaysInquisitr
  3. As 2020 Election Nears, Twitter Bots Have Only Gotten Better at Seeming HumanAdWeek
  4. Social media bots becoming more human and difficult to detect, study showsE&T
  5. Twitter Bots Are Becoming More Human-LikeDefenseOne
  6. Bots evolving to better mimic humans during electionsHelpNet Security
  7. Modern Politics: Social Media Bots Will Be Harder To Detect During 2020 ElectionStudyFinds
  8. Fake Accounts On Social Media Now Able To Copy Human BehaviourNewsGram
  9. Bots harder to discern from humans have multiplied in online ‘arms race’ – SiliconRepublic
  10. Get ready for more humanlike bots, better deep-fake videos and wall-to-wall disinformation in 2020 race – The Baltimore Sun
  11. Bots might prove harder to detect in 2020 elections – EurekAlert!
  12. Bots in the TwitterspherePEW Research Center
  13. Social Media Bots Deceive E-cigarette Users – Scientific American
  14. Twitter bots were more active than previously known during the 2018 midterms – CNBC
  15. Majority of Twitter bots affecting US elections originated from Russia and Iran – Devdiscourse
  16. About 20% of election posts on Twitter last fall were ‘bots,’ study says – Breitbart
  17. Thousands of Twitter bots active during 2018 US mid-term elections – The Economic Times
  18. How Twitter bots get people to spread fake news – ScienceNews
  19. Study: It only takes a few seconds for bots to spread misinformation – ArsTecnica
  20. Bots actually target and pursue individual influencers – EurekAlert!
  21. The charge of the chatbots: how do you tell who’s human online? – The Guardian
  22. Facebook’s Secret Weapon for Fighting Election Interference: The Government – Bloomberg
  23. Surge in anonymous Asia Twitter accounts sparks bot fears – The Japan Times
  24. The endless game of cat and mouse with spammers – Eureka
  25. Fake news is about to get a lot worse. That will make it easier to violate human rightsThe Washington Post
  26. The Big, Bad Bot Problem – The Ringer
  27. Twitter Cracks Down on Bot Abuse – How Stuff Works
  28. Conservatives amplified Russian trolls 30 times more often than liberals in 2016 – Vox
  29. US conservatives spread tweets by Russian trolls over 30 times more often than liberals – MIT Tech Review
  30. How to Stop Russia From Wrecking Election 2018 – Daily Beast
  31. Twitter has been ignoring its fake account problem for yearsColumbia Journalism Review
  32. Twitter’s huge bot problem is out of the bagCNET
  33. Putin’s Pro-Trump Trolls Just Targeted Hillary Clinton and Robert Mueller – Mother Jones
  34. Twitter urged firms to delete data during 2016 campaign – POLITICO
  35. Bot-hunting Twitter bot sniffs out bogus political tweets – TechCrunch
  36. This new Twitter account hunts for bots that push political opinions – Quartz
  37. Lies, statistics and Twitter – Millennium Post
  38. Social media bots are a real problem and California may regulate them – Medianama
  39. Watch: Five Ways the Internet Is Destroying Society – IEEE Electronics 360
  40. Ending fake news means changing how Wall Street values Facebook and Twitter – Quartz
  41. Trolls, bots and fake news: the mysterious world of social media manipulation – Newsweek
  42. Twitter Bots Distorted the 2016 Election—Including Many Likely From Russia – Mother Jones
  43. Researcher Emilio Ferrara talks about the rise of fake news and botnets – Tech Crunch
  44. These Scientists Wanted To Understand Twitter’s Bot Armies, So They Built Their Own – Fast Company
  45. Senator Slams Twitter’s Disclosure On Russian Meddling As ‘Inadequate On Every Level’ – Forbes
  46. Twitter’s Disclosure of Russian Activity Sparks Criticism From Lawmakers – The Wall Street Journal
  47. Twitter takes its turn in the Russian probe spotlight – Politico
  48. Twitter Says It Found 201 Russia-Linked Accounts That Aimed to Influence U.S. Election – Fox Business
  49. TWITTER STORMS – Civicist
  50. JACK DORSEY TAKES HIS TURN IN THE RUSSIA PROBE BARREL – Vanity Fair
  51. Fake News on Twitter Flooded Swing States That Helped Trump Win – Mother Jones
  52. Twitter to Testify Before Senate in Russia Probe – US News
  53. Researchers find that Twitter bots can be used for good – Tech Crunch
  54. Twitter Bots Can Encourage Decent Conduct, Not Just Fake News – News18
  55. Twitter bots for good: USC ISI study reveals how information spreads on social media – EurekAlert!
  56. Germany Election So Far Unaffected by ‘Fake News’ – Snopes
  57. Social media ‘bots’ tried to influence the U.S. election. Germany may be nextScience
  58. Computational propaganda poses challengeGlobal Times
  59. Russia’s propaganda machine amplifies alt-right – The Hill
  60. #FireMcMaster, Not Damore: Twitter Bots Are Thriving, And They’re More Lethal Than Ever – Fast Company
  61. Why didn’t Macron leaks carry more clout in the French presidential election? USC News
  62. The curious case of ‘Nicole Mincey,’ the Trump fan who may actually be a botThe Washington Post
  63. Trump Thanked A ‘Supporter’ On Twitter, Then A Mystery UnraveledA Plus
  64. Spreading fake news becomes standard practice for governments across the world – The Washington Post
  65. One in five bots sharing fake news during France’s presidential election were also involved in the United States’ – ZME Science
  66. Black-market bots, duped humans are responsible for derailing elections with fake news – ThinkProgress
  67. Study: Bots have turned Twitter into a powerful political disinformation platform – Venture Beat
  68. Fake news bots are so economical, you can use them over and over – Harvard NiemanLab
  69. Pro-Trump Twitter bots were also used to target Macron, research shows – The Verge
  70. There’s a Bit of Overlap Between Bots Trying to Manipulate American and French Elections – New York Magazine
  71. Research links pro-Trump, anti-Macron Twitter bots – The Hill
  72. The Same Twitter Bots That Helped Trump Tried to Sink Macron, Researcher Says – VICE
  73. How the Hashtag Is Changing Warfare – SIGNAL
  74. How Twitter Is Being Gamed to Feed Misinformation – New York Times
  75. ‘Something fishy’ is going on with Trump’s twitter account, researchers say – Washington Post
  76. Inside Russia’s Social Media War on America – TIME (cover story)
  77. The Twitter Bots Who Tried to Steal France – Daily Beast
  78. When Facebook and Instagram Think You’re Depressed – VICE
  79. Twitter Has a Serious Problem—And It’s Actually a Bigger Deal Than People Realize – Mother Jones
  80. Sleeping Beauties of Science – Scientific American
  81. Twitter Bot — or Not? – The New York Times
  82. After political Twitter bot revelation, are companies at risk? – Computer World
  83. Searching for proof of Amy – San Francisco Examiner
  84. News That 48 Million Of Twitter’s Users May Be Bots Could Impact Its Valuation – Forbes
  85. How to save Twitter, two pennies at a time – The Denver Post
  86. How Understanding Identity Can Help Avoid Fraudulent Traffic – DMNews
  87. Fake accounts scandal weighs on Twitter boss – The Times
  88. Pressure Grows on Twitter CEO Dorsey Amid Bot Scandal – The Street
  89. CMO Today: Marketers and Political Wonks Gather for SXSW – The Wall Street Journal
  90. Huge number of Twitter accounts are not operated by humans – ABC News
  91. Early Twitter investor Chris Sacca says he ‘hates’ the stock, calls bot issue ‘embarrassing’ – CNBC
  92. Up to 48 million Twitter accounts are bots, study says – CNET
  93. R u bot or not? – VICE
  94. New Machine Learning Framework Uncovers Twitter’s Vast Bot Population – VICE/Motherboard
  95. A Whopping 48 Million Twitter Accounts Are Actually Just Bots, Study Says – Tech Times
  96. 15 Percent Of Twitter Accounts May Be Bots [STUDY] – Value Walk
  97. Why the Rise of Bots is a Concern for Social Networks – Enterpreneuer
  98. Study reveals whopping 48M Twitter accounts are actually bots – CBS News
  99. Twitter is home to nearly 48 million bots, according to report – The Daily Dot
  100. As many as 48 million Twitter accounts aren’t people, says study – CNBC
  101. New Study Says 48 Million Accounts On Twitter Are Bots – We are social media
  102. Almost 48 million Twitter accounts are bots – Axios
  103. Twitter user accounts: around 15% or 48 million are bots [study] – The Vanguard
  104. Report: 48 Million Twitter Accounts Are Bots – Breitbart
  105. Rise of the TWITTERBOTS – Daily Mail
  106. 15 per cent of Twitter is bots, but not the Kardashian kind – The Inquirer
  107. 48 mn Twitter accounts are bots, says study – The Economic Times
  108. 9-15 per cent of Twitter accounts are bots, reveals study – Financial Express
  109. Nearly 48 million Twitter accounts are bots: study – Deccan herald
  110. Study: Nearly 48 Million Twitter Accounts Are Fake; Many Push Political Agendas – The Libertarian Republic
  111. As many as 48 million accounts on Twitter are actually bots, study finds – Sacramento Bee
  112. Study Reveals Roughly 48M Twitter Accounts Are Actually Bots – CBS DFW
  113. Up to 48 million Twitter accounts may be Bots – Financial Buzz
  114. Up to 15% of Twitter accounts are not real people – Blasting News
  115. Tech Bytes: Twitter is Being Invaded by Bots – WDIO Eyewitness News
  116. About 9-15% of Twitter accounts are bots: Study – The Indian Express
  117. Twitter Has Nearly 48 Million Bot Accounts, So Don’t Get Hurt By All Those Online Trolls – India Times
  118. Twitter May Have 45 Million Bots on Its Hands – Investopedia
  119. Bots run amok on Twitter – My Broadband
  120. 9-15% of Twitter accounts are bots: Study – MENA FN
  121. Up To 15 Percent Of Twitter Users Are Bots, Study Says – Vocativ
  122. 48 million active Twitter accounts could be bots – Gearbrain
  123. Study: 15% of Twitter accounts could be bots – Marketing Dive
  124. 15% of Twitter users are actually bots, study claims – MemeBurn
  125. Almost 48 million Twitter accounts are bots – Click Lancashire
  126. As many as 48 million or around 15% of Twitter accounts are bots – TechWorm
  127. Twitter Has an Overwhelming 48 Million Bot Accounts – GineersNow
  128. Data Mining Reveals the Rise of ISIS Propaganda on Twitter – MIT Technology Review
  129. Data Mining Technology Helped Analyze ISIS Rise to Power – iHLS
  130. As a conservative Twitter user sleeps, his account is hard at work – Washington Post
  131. How a Chicago man posts hundreds of pro-Trump tweets each day – Daily Herald
  132. You’ve probably been tricked by fake news and don’t know it – Science News
  133. Twitter Bots Favored Trump Leading Up to Election – U.S. News
  134. How the Bot-y Politic Influenced This Election – MIT Technology Review
  135. Facebook, Twitter & Trump – The New York Review of Books
  136. How Twitter bots played a role in electing Donald Trump – WIRED
  137. Twitter Bots Pollute Public’s Understanding of Politics – Newsweek
  138. How Twitter bots helped Donald Trump win the US presidential election – Arstechnica
  139. On Twitter, No One Knows You Are a Trump Bot – Fast Company
  140. The Algorithmic Democracy – Fast Co. Design
  141. Election 2016 Belongs to the Twitter Bots – VICE
  142. USC Study Finds Many Political Tweets Come From Fake Accounts – CACM News
  143. Almost a fifth of election chatter on Twitter comes from bots – Fusion
  144. Study reports that nearly 20% of election-related tweets were ‘algorithmically driven’ – Talking New Media
  145. How Twitter bots affected the US presidential campaign – The Conversation
  146. Advertising is driving social media-fuelled fake news and it is here to stay – The Conversation
  147. 20% of All Election Related Tweets Came From Non-Humans – Futurism
  148. Twitter Bots Dominate 2016 Presidential Election: New Study – Heavy
  149. Tracking The Election With Social Media In Real-Time: How Accurate Is It? – Heavy
  150. BOTS ‘SWAY’ ELECTION Fake tweets by social media robots could swing US Presidential election – The Sun
  151. A fifth of all US election tweets have come from bots – ABC News
  152. The Trump factor tipped to spread to Australian politics as Aussie Truthers push on social media – News .com.au
  153. There are 400,000 Bots That Just Tweet Political Views All Day – Investopedia
  154. Real, or not? USC study finds many political tweets come from fake accounts – Science Blog
  155. Software bots distort Donald Trump support on Twitter: Study – ETCIO
  156. How hackers, social bots, data analysts shaped the U.S. election – The Nation
  157. That swarm of political tweets in your feed? Many could be from bots – The Business Journals
  158. Software ‘bots’ distort Trump support on Twitter – New Vision
  159. Bots Invade Twitter, Spreads Misinformation On US Election – EconoTimes
  160. Software ‘bots’ seen skewing support for Trump on Twitter – The Japan Times
  161. US Presidential Elections 2016: Bot-generated fake tweets influencing US election outcome, says new study – Indian Express
  162. US elections 2016: Researchers show how Twitter bots are trying to influence the poll in favour of Trump – International Business Times
  163. Aliens, and the autopsy into Hillary Clinton’s political death – Toronto SUN
  164. Hillary vs Trump: Most of the election chatter online by Twitter bots, says study – Tech 2 First Post
  165. Twitter bots distort Trump support – iAfrica
  166. Social Media ‘Bots’ Working To Influence U.S. Election – CBS San Francisco
  167. Almost a fifth of election chatter on Twitter comes from bots – Full Act
  168. Software ‘bots’ distort Trump support on Twitter: study – Yahoo! News
  169. Bots Will Break 2016 US Elections Results – iTechPost
  170. Scientist Worries Robot-Generated Tweets Could Compromise The Presidential Election – Newsroom America
  171. Software ‘bots’ distort Trump support on Twitter: study – Phys.org
  172. Spotlight: Fake tweets endanger integrity of U.S. presidential election – XinhuanNet
  173. New Study: Twitter Bots Amount for One-Fifth of US Election Conversation – Dispatch Weekly
  174. Are Robot generated Tweets compromising US Polls? – TechRadar India
  175. Fake tweets endanger integrity of US presidential election – Global Times
  176. Software ‘bots’ distort Trump support on Twitter: study – The Daily Star
  177. Software ‘bots’ distort Trump support on Twitter: study – News Dog
  178. Malicious Twitter bots could have profound consequences for the election – RawStory
  179. ‘Robot-generated fake tweets influencing US election outcome’ – Daily News & Analysis
  180. Sophisticated Bot-Generated Tweets Could Influence Outcome of US Presidential Election – Telegiz
  181. UIC Journal Shows ‘Bots’ Sway Political Discourse, Could Impact Election – NewsWise
  182. Bot-generated tweets could threaten integrity of 2016 US presidential election: Study – BGR
  183. Bot generated tweets influence US Presidential election polls – I4U News
  184. High percentage of robot-generated fake tweets likely to influence public opinion – NewsGram
  185. ‘Robot-generated fake tweets influencing US election outcome’ – Press Trust of India
  186. Robot-generated fake tweets influencing US election outcome: Study – IndianExpress
  187. Fake Tweets, real consequences for the election – Phys.org
  188. Real, or not? USC study finds many political tweets come from fake accounts – USC News
  189. We’re in a digital world filled with lots of social bots – USC News
  190. 23 reasons to get excited about data – IBM Watson Analytics
  191. Algorithm knows when corporate money is pushing memes online – New Scientist
  192. Algorithm identifies artificially promoted Twitter memes and hashtags – The Stack
  193. La fórmula científica que te podría convertir en la próxima Cara Delevingne – Vanitatis
  194. Social Network Sleuths: Investigators Pursue Criminal Gangs Via Phone Chatter – Homeland Security Today
  195. The More You Comment Online, The Dumber Your Comments Become – Huffington Post
  196. The longer you’re on the web, the less interesting your commentary becomes – USC News
  197. Cool study, bro: Why Reddit comments degrade over time – USC Press Room
  198. On Twitter, your positive tweets are actually contagiousThe Daily Dot
  199. Happiness is contagious – USC Viterbi News
  200. Pro-Trump Twitter Bots at Center of Nevada Mystery – Wall Street Journal
  201. How Ebola Infected Twitter: When it comes to sharing online, nothing spreads like fear – Nautilus
  202. Web of lies: Is the internet making a world without truth? – New Scientist
  203. The Top 100 Big Data Experts to Follow in 2016 – Maptive
  204. How DARPA Took On the Twitter Bot Menace with One Hand Behind Its Back – MIT Technology Review
  205. The US government held a contest to identify evil propaganda robots on Facebook and Twitter – Business Insider
  206. Why you need to purge your Twitter feed of angry peopleThe Telegraph
  207. Twitter Emotions Are Contagious, Says New Study, But At Least The Positive Ones Are More So Than The Negative OnesBustle
  208. Twitter users more likely to share happiness than sadness – The Rakyat Post
  209. Twitter reacts positively to upbeat emotions, study findsUSC News
  210. Positive emotions more contagious than negative ones on TwitterPhys.org
  211. On Twitter, Is the Next POTUS a Bot-US?Wall Street Journal
  212. Why Does Facebook Keep Suggesting You Friend Your Tinder Matches?Vice
  213. New data suggest social media brings out the best in us, after allQuartz
  214. Bad news travels fast but positive posts spread wideThe Straits Times
  215. Positive content has greater reachBusiness First Magazine
  216. Data Shows that Positive Content Does Better on Social MediaGood
  217. Why can’t Twitter kill its bots?Fusion
  218. The Algorithm of Instagram FashionThe Science Times
  219. THE SCIENCE OF A SUPERMODELVogue
  220. Here’s how to predict next season’s breakout starsDazed
  221. Instagram Can Determine Which Models Rule the Runway at Fashion WeekStyleCaster
  222. Instagram to predict next ‘It Girl’?HLN Tv
  223. Wondering Who’ll Be This Season’s Breakout Models? Apparently There’s A Mathematical Formula For ThatGrazia Daily
  224. Study Concludes Runway Models With Hips Have a Harder Time Being It Girls – Styleite
  225. FMD Featured in Indiana University Study to Predict Popular Models for NYFWSBWire
  226. NYFW: Instagram May Be Able To Predict Fashion Week’s Top ModelsUniversity Herald
  227. Scientists Can Now Predict How Successful A Model Will BeAskMen
  228. Stylebook snapshot: Researchers study impact of Instagram on models’ successPittsburg Post Gazette
  229. VIDEO: Instagram can predict top models for New York Fashion WeekIrish Examiner
  230. America’s Next Top Model Cycle 22 Winner Predicted By Instagram? Scientists Create Algorithm That Can Do ThatiSchoolGuide
  231. FOLLOWING INSTAGRAM MODELS FOR SCIENCE AND FASHION WEEKNews Ledge
  232. Instagram Correctly Predicts 80% Of Next Top Models At Fashion EventYibada
  233. Instagram can now predict who America’s Next Top Model will beDigital Trends
  234. INSTAGRAM WILL TELL YOU ABOUT TOP MODELS AT THE NEW YORK FASHION WEEKThe Market Business
  235. INSTAGRAM IS QUITE GOOD AT PREDICTING WHO THE NEXT TOP MODEL WILL BERegal Tribune
  236. Instagram can help predict a model’s successRed Orbit
  237. INSTAGRAM CAN HELP PREDICT INDUSTRY’S NEXT TOP MODELThe Market Business
  238. INSTAGRAM CAN MAKE ACCURATE PREDICTIONS ON SUPERMODELS’ POPULARITYMirror Daily
  239. SCIENTISTS CAN PREDICT AMERICA’S NEXT TOP MODELWall Street Hedge
  240. NEW ALGORITHM CAN HELP INSTAGRAM PREDICT AMERICA’S NEXT TOP MODELUtah People’s Post
  241. Instagram can predict the NYFW next top model with 80 percent accuracyInferse
  242. Is Instagram the new runway for fashion?Daily O
  243. How Instagram Can Predict Next Supermodels?My Tech Bits
  244. INSTAGRAM WILL TELL YOU WHO IS THE NEXT TOP MODELApex Tribune
  245. Algorithm using Instagram data can predict upcoming top modelNorthern Californian
  246. NYFW: Instagram Could Predict The Next Top ModelUniversity Herald
  247. Instagram Can Now Be Used to Predict the Fashion World’s Next SupermodeliDigitalTimes Australia
    Instagram, Social Media, and New York Fashion WeekPioneer News
  248. Instagram Predicts Future Of Modeling PopularityPress Examiner
  249. Instagram Predicts A Model’s Future Popularity According To Social ScientistsBustle
  250. IU SCIENTISTS CAN PREDICT AMERICA’S NEXT TOP MODEL USING INSTAGRAMI4U
  251. Instagram Could Be Used To Identify Popularity Level Of Modelsubergizmo
  252. Instagram will tell you industry’s next top modelNature World Report
  253. Next Year’s Fashion Trends: Indiana University Algorithm Employs Instagram Data To Predict The Next Top Models Immortal News
  254. Popularity of models can be gauged using Instagram, study showsTechienews
  255. INSTAGRAM CAN HELP PREDICT INDUSTRY’S NEXT TOP MODELThe market business
  256. TOP MODELS’ SUCCESS NOW DEPENDS UPON THEIR INSTAGRAM POPULARITYTrinity News Daily
  257. Who will be America’s next top model? Ask InstagramCBS News
  258. This Machine-Learning Algorithm Can Predict the Next Top ModelThe Fashion Spot
  259. New York Fashion Week 2015: Can Scientists Use Instagram To Identify Budding Models?iDigitalTimes
  260. Want To Know If You Can Be A Fashion Model? There’s A Machine-Learning Algorithm For ThatTech Times
  261. SCIENTISTS CAN USE INSTAGRAM TO PREDICT FASHION WEEK’S BIGGEST MODELSHarper’s Bazaar
  262. Scientists Can Now Predict Top Models. Sorry, TyraYahoo! Style
  263. Scientists Figure Out a Formula to Determine Top Model SuccessRacked
  264. Can You Scientifically Predict a Model’s Success?New York Magazine
  265. Machine Learning Algorithm Predicts Which New Faces Will Make It as Fashion ModelsMIT Technology Review
  266. Machine Learning Selects World’s Next Top ModelsCommunications of the ACM
  267. Slack Is Overrun With Bots. Friendly, Wonderful BotsWIRED
  268. The science of SUPERMODELS: Researchers create algorithm that scours Instagram to find the best new talentDaily Mail UK
  269. Machine learning selects world’s next top models it News
  270. IU scientists use Instagram data to forecast top models at New York Fashion WeekIU Bloomington newsroom
  271. This new study suggests sad tweets make you sadFusion
  272. The Power Of Twitter’s Emotional Influence Focus News
  273. Emotions in Tweets Are Contagious: StudyNDTV
  274. Emotions in tweets are contagious Business Standard
  275. Emotions on Twitter are contagious, says studyDNA
  276. ‘Sleeping beauty’ papers slumber for decadesNature News
  277. Even Einstein’s Research Can Take Time to MatterNew York Times
  278. ‘Sleeping beauty’ studies ahead of their timeABC Science
  279. Like Sleeping Beauty, some research lies dormant for decades, study findsPhys.org
  280. The Dayside : Kissed by a princePhysics Today
  281. The Sleeping Beauties of SciencePacific Standard
  282. Quando la ricerca è una “bella addormentata”Le Scienze
  283. Paper all’avanguardia: fanno il botto decenni dopo la pubblicazioneOggi Scienza
  284. ‘Sleeping Beauty’ studies don’t pay off for decadesFuturity
  285. Sleeping Beauty Research Papers Can Languish For Decades, Even For Albert Einstein – Tech Times
  286. Like Sleeping Beauty, Some Research Lies Dormant for Decades News Wise
  287. El estudio de Einstein que resucitó a los 60 años y otras bellas durmientesEl Pais
  288. ‘Sleeping Beauty’ Studies Don’t Pay Off for DecadesEpoch Times
  289. Like Sleeping Beauty, some research lies dormant for decades, IU study finds Indiana University Newsroom
  290. Bot or Not? By James GleickThe New York Review of Books
  291. Twitter’s Bot Problem: Katy Perry, Taylor Swift, Justin Bieber, Rihanna And Other Musicians Have Mostly Fake Followings International Business Times
  292. Why Fear Spreads Faster Than Facts on Social MediaHootsuite
  293. In Social Networking, ‘Weak’ Connections May Be the Most PowerfulVice.com
  294. Fear, Misinformation, and Social Media Complicate Ebola FightTIME
  295. Social media can improve, muddy election campaignsPittsburgh Tribune-Review
  296. How To Spot A Social Bot On TwitterMIT Technology Review
  297. Barack Obama Is Probably a Robot, and Other Lessons from ‘Bot Or Not’Vice.com
  298. Social Bots on Twitter are More Than a Minor NuisanceSocial Times
  299. An Algorithm To Identify Social Bot on Twitter Value Walk
  300. Lying, spamming and scamming on the webThe Spectator
  301. This Algorithm Tells You If A Twitter Account Is a Spam BotMashable
  302. How to Spot A Bot… or Find Out If You Sound Like OneABC News
  303. Lo strumento per distinguere bot e umani su TwitterWired.it
  304. Indiana University Will Devote $1 Million to the Study of Internet MemesThe Mary Sue
  305. The U.S. government is spending $1 million to figure out memesThe Daily Dot
  306. U.S. Military Sends Scouting Party Into the TwitterverseTIME
  307. US military studied how to influence Twitter users in Darpa-funded researchThe Guardian
  308. Twitter Inc Users Studied By US Military In Darpa-Funded ResearchValue Walk
  309. How online ‘chatbots’ are already tricking youBBC
  310. ‘Bot or Not’ App Susses Out Twitter SpambotsTom’s Guide
  311. Computer scientists develop tool for uncovering bot-controlled Twitter accountsPhys.org
  312. IU computer scientists develop tool for uncovering bot-controlled Twitter accountsIU Newsroom
  313. Criminal Gang Connections Mapped via Phone MetadataCommunications of the ACM
  314. New software can map criminal gang connectionsThe Free Press Journal
  315. Gangster science: How police use network theory to track gang membersThe Daily Dot
  316. New software can map criminal gang connectionsBusiness Standard
  317. IU researcher helps Italian police fight crimeThe Washington Times
  318. Criminal gang connections mapped via phone metadataNew Scientist
  319. Mafia Wars: How Italy’s Secret Police Use Metadata To Track Organized CrimeFast Company
  320. LogAnalysis maps the structure of gangs using phone recordsEngadget
  321. How to Detect Criminal Gangs Using Mobile Phone Data MIT Technology Review
  322. Complex networks researcher at IU fighting crime with mobile phone data IU Newsroom
  323. One Tweet if by Land Newsweek
  324. Where do Twitter trends start? Try CincinnatiThe Washington Post
  325. Study: Seattle is top Twitter trendsetter in the U.S.The Seattle Times
  326. The Top Five Trend-Setting Cities on TwitterMIT Technology Review
  327. Study Finds Cincinnati Is Major Twitter Trendsetter in U.S. CityBeat
  328. Seattle generates more nationally-trending topics on Twitter than any other U.S. city, study says GeekWire
  329. Cincinnati is leading the way on TwitterCincyBizBlog
  330. The Anatomy of the Occupy Wall Street Movement on TwitterMIT Technology Review
  331. Data dance, big data and data miningThe Why Files
  332. Cell phone data analysis dials in crime networksScience News
  333. Using statistics to catch cheats and criminalsPhysics Today
  334. Bond with the best: FaceBook vs TwitterTechKnowBits.com
  335. Study: Facebook Builds Better Communities Than TwitterThe Atlantic
  336. Facebook Builds Stronger Bonds Than Twitter, Study SaysMashable
  337. Study shows similarities between Facebook and real-world communitiesLeaders West
  338. Does Facebook Really Create Stronger Bonds Than Twitter?Daily lounge
  339. Facebook Encourages Stronger Bonds Over Twitter: Studyhashtags.org
  340. Facebook and Strongly Connected CommunitiesCornell University
  341. Driven by friendshipSpringerSelect
  342. Facebook is a communityScience Daily
  343. Data-Mining FacebookIdiro Technologies

Press in non-English media

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