Analysis of the (Mis)information Dissemination Network in WhatsApp
Resumo
In this thesis, we aim at investigating the spread of information, notably misinformation, on WhatsApp. We show how WhatsApp enables the formation of a rich underlying network that, while crossing the boundaries of existing groups, have structural properties that favor information dissemination at large. Next, we delve deeper into this network to identify user communities, i.e., groupings of users who, intentionally or not, share the same content disproportionately often and characterize how such components could affect information dissemination. By analyzing content sharing and network topological properties focusing on three perspectives (individuals, WhatsApp groups, user communities), our study offers valuable insights into how WhatsApp users leverage the underlying network connecting different groups to gain large reach in the spread of misinformation in the platform.
Palavras-chave:
Misinformation, WhatsApp, User Behavior, Network Analysis
Referências
Hunt Allcott, Matthew Gentzkow, and Chuan Yu. 2019. Trends in the diffusion of misinformation on social media. Research & Politics (2019).
Victor S. Bursztyn and Larry Birnbaum. 2019. Thousands of Small, Constant Rallies: A Large-Scale Analysis of Partisan WhatsApp Groups. In 2019 IEEE/ACM International Conference on Advances in Social Networks analysis and Mining (ASONAM). 484–488.
Josemar Alves Caetano, Gabriel Magno, Marcos André Gonçalves, Jussara M. Almeida, Humberto Torres Marques-Neto, and Virgílio A. F. Almeida. 2019. Characterizing Attention Cascades in WhatsApp Groups. In Proceedings of the 10th ACM Conference on Web Science. 27–36.
Kiran Garimella and Gareth Tyson. 2018. WhatApp Doc? A First Look at WhatsApp Public Group Data. Proceedings of the International AAAI Conference on Web and Social Media (2018).
Christine Geeng, Savanna Yee, and Franziska Roesner. 2020. Fake News on Facebook and Twitter: Investigating How People (Don’t) Investigate. Association for Computing Machinery, 1–14.
Srijan Kumar and Neil Shah. 2018. False Information on Web and Social Media: A Survey. Social Media Analytics: Advances and Applications (2018).
Alexandre Maros, Jussara Almeida, Fabricio Benevenuto, and Marisa Vasconcelos. 2020. Analyzing the use of audio messages in Whatsapp groups. In Proceedings of The Web Conference 2020. 3005–3011.
Philipe Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro OS Vaz de Melo, and Fabrício Benevenuto. 2019. Can WhatsApp counter misinformation by limiting message forwarding?. In International conference on complex networks and their applications. Springer, 372–384.
Gabriel P Nobre, Carlos HG Ferreira, and Jussara M Almeida. 2020.Beyond Groups: Uncovering Dynamic Communities on the WhatsApp Network of Information Dissemination. In International Conference on Social Informatics. Springer, 252–266.
Gabriel P Nobre, Carlos HG Ferreira, and Jussara M Almeida. 2022. A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp. Information Processing & Management 59, 1 (2022).
Elaine O Nsoesie and Olubusola Oladeji. 2020. Identifying patterns to prevent the spread of misinformation during epidemics. The Harvard Kennedy School Misinformation Review (2020).
Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu, and David G. Rand. 2020. Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention. Psychological Science (2020), 770–780.
Raquel Recuero, Felipe Soares, and Otávio Vinhas. 2020. Discursive strategies for disinformation on WhatsApp and Twitter during the 2018 Brazilian presidential election. First Monday (2020).
J. C. S. Reis, P. Melo, K. Garimella, and F. Benevenuto. 2020. Can WhatsApp benefit from debunked fact-checked stories to reduce misinformation?. In Harvard Kennedy School (HKS) Misinformation Review.
Gustavo Resende, Philipe Melo, Julio C. S. Reis, Marisa Vasconcelos, Jussara M. Almeida, and Fabrício Benevenuto. 2019. Analyzing Textual (Mis)Information Shared in WhatsApp Groups. In Proceedings of the 10th ACM Conference on Web Science. 225–234.
Gustavo Resende, Philipe F. Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara M. Almeida, and Fabrício Benevenuto. 2019. (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures. In The World Wide Web Conference (WWW ’19). ACM, 818–828.
Marisa Vasconcelos, Erica Pereira, Samuel Guimarães, Manoel Horta Ribeiro, Philipe Melo, and Fabrício Benevenuto. 2020. Analyzing YouTube Videos Shared on Whatsapp in the Early COVID-19 Crisis. In Proceedings of the Brazilian Symposium on Multimedia and the Web (WebMedia ’20). 25–28.
Narisa Zhao and Hui Li. 2020. How can social commerce be boosted? The impact of consumer behaviors on the information dissemination mechanism in a social commerce network. Electronic Commerce Research (2020).
Victor S. Bursztyn and Larry Birnbaum. 2019. Thousands of Small, Constant Rallies: A Large-Scale Analysis of Partisan WhatsApp Groups. In 2019 IEEE/ACM International Conference on Advances in Social Networks analysis and Mining (ASONAM). 484–488.
Josemar Alves Caetano, Gabriel Magno, Marcos André Gonçalves, Jussara M. Almeida, Humberto Torres Marques-Neto, and Virgílio A. F. Almeida. 2019. Characterizing Attention Cascades in WhatsApp Groups. In Proceedings of the 10th ACM Conference on Web Science. 27–36.
Kiran Garimella and Gareth Tyson. 2018. WhatApp Doc? A First Look at WhatsApp Public Group Data. Proceedings of the International AAAI Conference on Web and Social Media (2018).
Christine Geeng, Savanna Yee, and Franziska Roesner. 2020. Fake News on Facebook and Twitter: Investigating How People (Don’t) Investigate. Association for Computing Machinery, 1–14.
Srijan Kumar and Neil Shah. 2018. False Information on Web and Social Media: A Survey. Social Media Analytics: Advances and Applications (2018).
Alexandre Maros, Jussara Almeida, Fabricio Benevenuto, and Marisa Vasconcelos. 2020. Analyzing the use of audio messages in Whatsapp groups. In Proceedings of The Web Conference 2020. 3005–3011.
Philipe Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro OS Vaz de Melo, and Fabrício Benevenuto. 2019. Can WhatsApp counter misinformation by limiting message forwarding?. In International conference on complex networks and their applications. Springer, 372–384.
Gabriel P Nobre, Carlos HG Ferreira, and Jussara M Almeida. 2020.Beyond Groups: Uncovering Dynamic Communities on the WhatsApp Network of Information Dissemination. In International Conference on Social Informatics. Springer, 252–266.
Gabriel P Nobre, Carlos HG Ferreira, and Jussara M Almeida. 2022. A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp. Information Processing & Management 59, 1 (2022).
Elaine O Nsoesie and Olubusola Oladeji. 2020. Identifying patterns to prevent the spread of misinformation during epidemics. The Harvard Kennedy School Misinformation Review (2020).
Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu, and David G. Rand. 2020. Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention. Psychological Science (2020), 770–780.
Raquel Recuero, Felipe Soares, and Otávio Vinhas. 2020. Discursive strategies for disinformation on WhatsApp and Twitter during the 2018 Brazilian presidential election. First Monday (2020).
J. C. S. Reis, P. Melo, K. Garimella, and F. Benevenuto. 2020. Can WhatsApp benefit from debunked fact-checked stories to reduce misinformation?. In Harvard Kennedy School (HKS) Misinformation Review.
Gustavo Resende, Philipe Melo, Julio C. S. Reis, Marisa Vasconcelos, Jussara M. Almeida, and Fabrício Benevenuto. 2019. Analyzing Textual (Mis)Information Shared in WhatsApp Groups. In Proceedings of the 10th ACM Conference on Web Science. 225–234.
Gustavo Resende, Philipe F. Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara M. Almeida, and Fabrício Benevenuto. 2019. (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures. In The World Wide Web Conference (WWW ’19). ACM, 818–828.
Marisa Vasconcelos, Erica Pereira, Samuel Guimarães, Manoel Horta Ribeiro, Philipe Melo, and Fabrício Benevenuto. 2020. Analyzing YouTube Videos Shared on Whatsapp in the Early COVID-19 Crisis. In Proceedings of the Brazilian Symposium on Multimedia and the Web (WebMedia ’20). 25–28.
Narisa Zhao and Hui Li. 2020. How can social commerce be boosted? The impact of consumer behaviors on the information dissemination mechanism in a social commerce network. Electronic Commerce Research (2020).
Publicado
07/11/2022
Como Citar
NOBRE, Gabriel P.; ALMEIDA, Jussara M..
Analysis of the (Mis)information Dissemination Network in WhatsApp. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 28. , 2022, Curitiba.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 7-10.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2022.226262.
