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Disinform rmation and Social Bo Bots in in Online Social Network rks THESES 5 THE 5 De Decemb mber 2019 2019 St Stefano o Cr Cresci (IIT-CNR) stefano.cresci@iit.cnr.it @s_cresci : stefano.cresci@iit.cnr.it @s_cresci St Stefano


  1. Disinform rmation and Social Bo Bots in in Online Social Network rks THESES – 5 THE 5 De Decemb mber 2019 2019 St Stefano o Cr Cresci (IIT-CNR) stefano.cresci@iit.cnr.it @s_cresci

  2. : stefano.cresci@iit.cnr.it @s_cresci St Stefano Cr Cresci ci: An open issue RESEARCH QUESTION BI BIG SO SOCIA IAL DA DATA TA

  3. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci RESEAR ARCH TOPICS AN AND AP APPLICAT ATIONS topic to ics: • detection of malicious accounts ( social bots, trolls, fakes, … ) • disinformation ( fake news, conspiracy theories, hoaxes, … ) • polarization ( echo chambers, extremism, hate speech, … ) ap applicat cations: • politics ( political elections, referendum, … ) • controversial discussions ( vaccines, immigration, … ) • finance ( cryptocurrencies, … )

  4. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci METH ME THODOLO LOGIES • machine learning and artificial intelligence ( deep learning ) • big data • natural language processing • social network analysis • information visualization

  5. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci BOT DE BO DETECTION RT RTbust st: • technique for detecting Twitter bots • based on deep learning • Mas Master’ r’s thesis of Mi Michele Ma Mazza • presented in Boston (USA) in 2019 Mazza, et al. "RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter.” 11th ACM International Conference on Web Science (WebSci) . ACM, 2019.

  6. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci ONLINE CRYPTOCURRENCY FRAU AUDS started with Mas Tardelli & PhD Master’ r’s th thesis is of f Se Serena Ta PhD wor ork of of Le Leonardo Ni Nizzoli

  7. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci FAK AKE NEWS IN 2019 EU ELECTIONS disinformation outlets (fake news) politicians official news outlets show business

  8. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci OUR TEAM AM young , dy dynamic , and mu inary team: yo multid tidis iscip iplin • 4 computer scientists • 4 computer engineers • 1 physician • 1 economist • 1 political scientist • 1 digital anthropologist

  9. JO JOIN US US! want to know more? St Stefano o Cr Cresci co come tal alk to me at at the buffet! stefano.cresci@iit.cnr.it @s_cresci

  10. St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci SOME PUBLICAT ATIONS • Mazza, et al. " RT RTbust: : Exploiting Te Temporal Patterns for Bo Botnet Detection on Tw Twitter .” 11th ACM International Conference on Web Science (WebSci) . ACM, 2019. • Cresci, et al. " Ca Cashtag pi piggybacking: U Uncoveri ring s spa pam a and b d bot a activity i in s stock m micro roblogs o on Tw Twitter ." ACM Transactions on the Web (TWEB) . ACM, 2019. • Cresci, et al. " So Social fi fingerprinting: detection of f sp spam ambot gr groups through gh DN DNA-in inspir ired be behavioral mo modeling ." IEEE Transactions on Dependable and Secure Computing . IEEE, 2017. • Cresci, et al. " Th The paradigm-sh shift of so social al sp spam ambots: : Evidence, , theories, , and tools for the arms ra race ." 26th International Conference on World Wide Web companion (WWW) . IW3C2, 2017. • Cinelli, et al. “ Th The Limited Reach of Fa Fake News on n Tw Twitter during ng 2019 European n El Electi tions .” arXiv:1911.12039 . 2020.

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