Disinform rmation and Social Bo Bots in in Online Social Network - - PowerPoint PPT Presentation

disinform rmation and social bo bots in in online social
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Disinform rmation and Social Bo Bots in in Online Social Network - - PowerPoint PPT Presentation

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


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SLIDE 1

THE THESES – 5 5 De Decemb mber 2019 2019

Disinform rmation and Social Bo Bots in in Online Social Network rks

St Stefano

  • Cr

Cresci (IIT-CNR)

stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 2

RESEARCH QUESTION

An open issue

BI BIG SO SOCIA IAL DA DATA TA

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 3

RESEAR ARCH TOPICS AN AND AP APPLICAT ATIONS

to topic 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, …)

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 4

ME METH THODOLO LOGIES

  • machine learning and artificial intelligence (deep learning)
  • big data
  • natural language processing
  • social network analysis
  • information visualization

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 5

BO BOT DE 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.

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 6

ONLINE CRYPTOCURRENCY FRAU AUDS

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

started with Mas Master’ r’s th thesis is of f Se Serena Ta Tardelli & PhD PhD wor

  • rk of
  • f Le

Leonardo Ni Nizzoli

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SLIDE 7

FAK AKE NEWS IN 2019 EU ELECTIONS

disinformation outlets (fake news)

  • fficial news outlets

politicians show business St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 8

OUR TEAM AM

yo young, dy dynamic, and mu multid tidis iscip iplin inary team:

  • 4 computer scientists
  • 4 computer engineers
  • 1 physician
  • 1 economist
  • 1 political scientist
  • 1 digital anthropologist

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci

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SLIDE 9

JO JOIN US US!

stefano.cresci@iit.cnr.it @s_cresci

St Stefano

  • Cr

Cresci want to know more? co come tal alk to me at at the buffet!

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SLIDE 10

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

  • n

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.

St Stefano Cr Cresci ci: : stefano.cresci@iit.cnr.it @s_cresci