"This article investigates harmful political content in public WhatsApp and Facebook groups of the radical Right in Brazil. Considering harmful political content as that which generates direct damage to the quality, reasonableness, and plurality of public discussion, we investigate the enunciative a
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spects of four specific types of discursive action (uncivil, conspiratorial, hateful, and dangerous) and the non-enunciative aspects used for harmful types of communication and interaction. The database consists of 3,503,540 messages propagated in 1,676 public groups during the electoral process. Through a quantitative approach to a sample of 2,201 unique messages, we found, among other things, that (1) harmful content was more present on Facebook than on WhatsApp; (2) messages about the elections were associated with uncivil speech; (3) uncivil speech was usually associated with dangerous speech and opposed to conspiratorial speech. The results allow for more nuanced reflections on the actions and strategy of the Far Right in the digital public debate." (Abstract)
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"This article aims to discuss what we call environmental opacity, a condition of mobile instant messaging services (MIMS) that operates on the basis of end-to-end encryption systems. Utilizing WhatsApp as a specific example, the article presents two fundamental dilemmas around which some issues conc
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erning transparency are mobilized when it comes to digital private communication. The first of them relates to how end-to-end encryption has simultaneously become an asset and a problem for democratic environments; on the one hand, protecting users’ privacy, and on the other, allowing for the circulation of misinformation and harmful content. The second dilemma deals with how this environment of opacity impacts the ethics and transparency of scholarly research focused on WhatsApp and other MIMSs. The paper also reviews an extensive body of studies that discuss the political uses of WhatsApp in different dimensions, and argues that emerging countries with large user bases, such as Brazil and India, have experienced a series of negative effects after the adoption of WhatsApp by politically oriented groups. Among the main proposals, the article suggests some measures to foster platform transparency and facilitate scientific research instead of hindering it." (Abstract)
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"This article brings the results of an investigation into the role of WhatsApp audio messages in the 2018 Brazilian presidential elections, proposing that instant voice messaging borrows elements from radio language. We started from a broader research, conducted by the Brazilian National Institute o
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f Science and Technology in Digital Democracy (INCT.DD, in its Portuguese acronym), which identified a network composed of 220 WhatsApp groups – all of them with open-entry links – supporting six different candidates. Those groups put together thousands of anonymized profiles linked through connections to similar groups, configuring an extensive network. More than 1 million messages, including 98,000 audios, were gathered and downloaded during 2018 Brazilian electoral period (from June to October). We focused on eighteen audios with major circulation (totalling 3622 appearances) among the ones shared at least 100 times, which were extracted and analysed. The use of radio content analysis techniques pointed out strong evidence that audio messaging remediate radiophonic elements such as intimacy and colloquial language to accelerate disinformation campaigns." (Abstract)
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