ABSTRACT
There are rising concerns over the spread of misinformation in WhatsApp groups and the potential impact on political polarization, hindrance of public debate and fostering acts of political violence. As social media use becomes increasingly widespread, it becomes imperative to study how these platforms can be used to as a tool to spread propaganda and manipulate audience groups ahead of important political events. In this paper, we present a grounded typology to classify links to news sources into different categories including ‘junk’ news sources that deliberately publish or aggregate misleading, deceptive or incorrect information packaged as real news about politics, economics or culture obtained from public WhatsApp groups. Further, we examine a sample of 200 videos and images, extracted from a sample of WhatsApp groups and develop a new typology to classify this media content. For our analysis, we have used data from 130 public WhatsApp groups in the period leading up to the two rounds of the 2018 Brazilian presidential elections.
- V. Narayanan, V. Barash, J. Kelly, B. Kollanyi, L.-M. Neudert, and P. N. Howard, “Polarization, Partisanship and Junk News Consumption over Social Media in the US,” Oxford Internet Institute, Oxford, Data Memo, Feb. 2018.Google Scholar
- P. N. Howard, S. Woolley, and R. Calo, “Algorithms, bots, and political communication in the US 2016 election: The challenge of automated political communication for election law and administration,” Journal of Information Technology & Politics, pp. 1–13, Apr. 2018.Google Scholar
- M. Glowacki , “News and Political Information Consumption in Mexico: Mapping the 2018 Mexican Presidential Election on Twitter and Facebook,” Data Memo 2018.2, 2018.Google Scholar
- C. Machado ., “News and Political Information Consumption in Brazil: Mapping the First Round of the 2018 Brazilian Presidential Election on Twitter.” Computational Propaganda Project, 05-Oct-2018.Google Scholar
- P. N. Howard, B. Kollanyi, G. Bolsover, S. Bradshaw, and L.-M. Neudert, “Junk News and Bots during the U.S. Election: What Were Michigan Voters Sharing Over Twitter?,” Mar. 2017.Google Scholar
- K. Krippendorff, “Reliability in content analysis,” Human communication research, vol. 30, no. 3, pp. 411–433, 2004.Google Scholar
- J. Spyer, “Social Media in Emergent Brazil,” UCL Press. {Online}. Available: https://www.ucl.ac.uk/ucl-press/browse-books/social-media-in-emergent-brazil. {Accessed: 04-Nov-2018}.Google Scholar
- I. T. S. Rio, “Computational Power: Automated Use of WhatsApp in the Elections,” ITS FEED, 26-Oct-2018. {Online}. Available: https://feed.itsrio.org/computational-power-automated-use-of-whatsapp-in-the-elections-59f62b857033. {Accessed: 02-Mar-2019}.Google Scholar
- “Esse jornal se acabou, diz Bolsonaro ao Jornal Nacional sobre a Folha,” Folha de S.Paulo, 29-Oct-2018. {Online}. Available: https://www1.folha.uol.com.br/poder/2018/10/esse-jornal-se-acabou-diz-bolsonaro-ao-jornal-nacional-sobre-a-folha.shtml. {Accessed: 04-Nov-2018}.Google Scholar
- “Como funciona a máquina de WhatsApp que pode eleger Bolsonaro - Época.” {Online}. Available: https://epoca.globo.com/como-funciona-maquina-de-whatsapp-que-pode-eleger-bolsonaro-23180627. {Accessed: 04-Nov-2018}.Google Scholar
Index Terms
- A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections.
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