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IN WHATSAPP GROUPS Josemar Alves Caetano, Gabriel Magno, Marcos - PowerPoint PPT Presentation

CHARACTERIZING ATTENTION CASCADES IN WHATSAPP GROUPS Josemar Alves Caetano, Gabriel Magno, Marcos Gonalves, Jussara Almeida, Humberto T. Marques-Neto, Virglio Almeida WebSci 2019 2 Messenger apps popularity App Total users WhatsApp 1.6


  1. CHARACTERIZING ATTENTION CASCADES IN WHATSAPP GROUPS Josemar Alves Caetano, Gabriel Magno, Marcos Gonçalves, Jussara Almeida, Humberto T. Marques-Neto, Virgílio Almeida

  2. WebSci 2019 2 Messenger apps popularity App Total users WhatsApp 1.6 bi Facebook Messenger 1.3 bi WeChat 1.1 bi Line 700 mi Telegram 200 mi

  3. WebSci 2019 3 WhatsApp, politics and misinformation May 2018 October 2018

  4. WebSci 2019 4 Initial question What are the ingredients of the WhatsApp architecture that makes it a weaponizable social media platform to distribute misinformation?

  5. WebSci 2019 5 Information cascades and attention economy

  6. WebSci 2019 6 Attention cascade example

  7. WebSci 2019 7 Research questions • How different are attention cascades in political and nonpolitical groups on WhatsApp? • What is the impact of false information on the characteristics of attention cascades?

  8. WebSci 2019 8 Studying attention cascades on WhatsApp using 3 dimensions User Structural Temporal participation • Number of • Duration • Unique users nodes • Structural • Relationships • Depth characteristics motifs • Maximum over time breadth • Structural Virality

  9. WebSci 2019 9 Data collection and anonymization 1 2 3 Join groups and Anonymize dataset Find Brazilian group extract messages links on the Internet

  10. WebSci 2019 10 WhatsApp dataset # of messages 1.7 mi # of users 31 k # of groups 120

  11. WebSci 2019 11 Group and cascade classification With Falsehood Political Political Unclassified Group Cascade Non- With political Falsehood Non- political Unclassified

  12. WebSci 2019 12 We used six Brazilian fact-checking websites

  13. WebSci 2019 13 Overall cascade analysis

  14. WebSci 2019 14 Structural characteristics (I)

  15. WebSci 2019 15 Structural characteristics (II)

  16. WebSci 2019 16 Temporal characteristics

  17. WebSci 2019 17 Cascade duration and unique users

  18. WebSci 2019 18 User participation motifs

  19. WebSci 2019 19 Present and future work • What kind of content would extend the duration of attention cascades? • What is an adequate metric for quantifying attention in a group chat? • What is the impact of hate content on the characteristics of attention cascades?

  20. WebSci 2019 20 Thank you! josemarcaetano@dcc.ufmg.br

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