O presente artigo analisa como se deu a circulação de desinformação respeito uma possível “cura” para o coronavírus no Twitter brasileiro em um período dez dias março 2020. Seu foco é na discussão (1) dos modos através quais os discursos relacionados à sobre supostas curas da pandemia foram espalhados, (2) diferentes tipos discurso desinformativo e sua prevalência (3) disputa contra que desmentem desinformação. Através estudo métodos mistos, com análise conteúdo redes sociais 57.295 mil...

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based data collected three dates during former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and capital to identify users’ polarized discussions that took place each analyzed. research identified four roles, associated with different aspects metrics: activists, news clippers, opinion leaders, information influencers. These are...

This paper examines the role of hyperpartisanship and polarization on Twitter during 2018 Brazilian Presidential Election. Based a mixed-methods approach, we collected analyzed dataset over 8 million tweets about Jair Bolsonaro, far-right candidate from Social Liberty Party. Our results show that there is strong connection between polarization, disinformation. As centrality hyperpartisan outlets grew, more traditional media became less central conversations polarized. We also confirmed often...

This study aims to identify influencers roles in political conversations on Twitter and their effect the online public sphere. We analyze data from three key days during impeachment process of ex-president Brazil, Dilma Rousseff. Using a combination social network analysis qualitative approaches, we discuss these role that took place. Our main findings are: (1) presence highly modularized networks, where groups favor or opposing were tightly connected around different influencers; (2)...

This paper aims to analyze and compare the discursive strategies used spread legitimate disinformation on Twitter WhatsApp during 2018 Brazilian presidential election. Our case study is campaign discredit electronic ballot that was for In this paper, we use a mixed methods approach combined critical discourse analysis quantitative aggregate discuss dataset of 53 original tweets 54 messages. We focused identifying most in each platform. results show that: (1) messages both platforms...

In this article, we analyze the spread of political disinformation in events discursive struggles on Twitter, during 2018 presidential election Brazil. These were disputes for hegemonic narrative between two stories based opposed hashtags: one news from mainstream media and other, disinformation, mostly hyperpartisan outlets. Our goal was to understand how outlets created shaped these strategies used create an “alternative narrative” facts. case study is focused struggles, which will use...

Neste artigo, analisamos a circulação de links desinformativos sobre pandemia Covid-19 no Twitter, partir um conjunto 159.560 coletados da API do Twitter entre os meses março e julho 2020. Através mapeamento rede observação vizinhança dos mais compartilhados, observamos uma polarização redução acordo com seu sentido (pró-hidroxicloroquina ou anti-hidroxicloroquina). Os resultados também apontam para maior atividade na divulgação pró-hidroxicloroquina, grupo onde circula quantidade...

Brazil has one of the highest rates cases and deaths attributed to Covid-19 in world. Two factors contributed high rates: Brazilian government underestimated pandemic a large amount disinformation was spread through social media. We found that about on WhatsApp associated with political disinformation, mostly composed support president Bolsonaro during crisis he faced at beginning pandemic. Our main finding implicates connected far-right dis-course framed as issue rather than public health issue.

Background Online anti-social behaviour is on the rise, reducing perceived benefits of social media in society and causing a number negative outcomes. This research focuses factors associated with young adults being perpetrators when using media. Method Based an online survey university students Canada (n = 359), we used PLS-SEM to create model test associations between four (online disinhibition, motivations for cyber-aggression, self-esteem, empathy) likelihood perpetrator behaviour....

As Russia launched its full-scale invasion of Ukraine in February 2022, social media was rife with pro-Kremlin disinformation. To effectively tackle the issue state-sponsored disinformation campaigns, this study examines underlying reasons why some individuals are susceptible to false claims and explores ways reduce their susceptibility. It uses linear regression analysis on data from a national survey 1,500 adults (18+) examine factors that predict belief narratives regarding Russia–Ukraine...

This study aims to understand the dynamics of polarization and how news outlets influenced political discussions on Twitter during 2018 Brazilian presidential campaign. We analyze four datasets using social network analysis. Our main finding is identification an asymmetric polarization.

‘Spotify Wrapped’ is a promotional initiative offered by the music platform consisting of summary each user’s yearly listening habits. Although Spotify generally classified as streaming service, initiatives such Wrapped have clear component sociability (Hagen & Lüders 2017) – in this case, not only because they are based on harvesting users’ behavioural data but also created to be shared platforms Instagram and Twitter/X. Indeed, has acquired its own role digital popular culture,...

Political trends around the world have drawn further scholarly attention to study of polarisation, especially also as it is expressed and potentially deepened by public communication on digital social media platforms. The very concept polarisation itself, however, remains ill-defined in research, where often used a mere buzzword without sufficient definition – even spite wide range conceptual approaches that variously emphasise issue-centric, ideological, affective, interpretive,...

Introduction In this article, we hypothesise how mainstream media coverage can promote the spread of disinformation about Covid-19. Mainstream are often discussed as opposed to (Glasser; Benkler et al.). While phenomenon is related intentional production and misleading false information influence public opinion (Fallis; al.), news expected be based on facts investigation focussed values such authenticity, accountability, autonomy (Hayes However, journalists might contribute when they skip...

Neste artigo, analisamos a circulação de URLs desinformativas no Facebook. Nosso estudo caso é o uso da hidroxicloroquina como cura ou profilaxia para Covid-19. Analisamos presença em mais 70 mil publicações páginas e grupos públicos Utilizamos Análise Redes Sociais mapear das redes Conteúdo identificar as fontes informações desinformação. Nossos resultados mostram que (1) foi polarizada, tanto contexto páginas, quanto grupos; (2) conteúdo desinformativo utilizado reforçar uma narrativa...

Neste artigo, analisamos a circulação de links desinformativos sobre pandemia Covid-19 no Twitter, partir um conjunto 159.560 coletados da API do Twitter entre os meses março e julho 2020. Através mapeamento rede observação vizinhança dos mais compartilhados, observamos uma polarização redução acordo com seu sentido (pró-hidroxicloroquina ou anti-hidroxicloroquina). Os resultados também apontam para maior atividade na divulgação pró-hidroxicloroquina, grupo onde circula quantidade...

O presente artigo analisa como se deu a circulação de desinformação respeito uma possível “cura” para o coronavírus no Twitter brasileiro em um período dez dias março 2020. Seu foco é na discussão (1) dos modos através quais os discursos relacionados à sobre supostas curas da pandemia foram espalhados, (2) diferentes tipos discurso desinformativo e sua prevalência (3) disputa contra que desmentem desinformação. Através estudo métodos mistos, com análise conteúdo redes sociais 57.295 mil...

Neste artigo, discutimos como é enquadrada a desinformação sobre o Covid-19 no WhatsApp Brasil. Nossos objetivos são: (1) analisar influência do discurso político nestes processos e (2) identificar as características da nesta ferramenta. Para isso, utilizamos análise de conteúdo em um conjunto 802 mensagens coletadas por meio Monitor março abril 2020. Os nossos principais resultados mostram que: pandemia foi debate utilizada para fortalecer uma narrativa pró-Bolsonaro momento crise governo;...

This paper focuses on how Brazilian politicians helped to spread disinformation about Covid-19 vaccines, discussing legitimation strategies and actors that played a significant role Twitter Facebook. Based data gathered through CrowdTangle API, we selected the 250 most shared/retweeted posts for each dataset (n=500) examined if they contained disinformation, who posted it, what strategy was used legitimize this discourse. Our findings indicate hyperpartisan accounts have key influence in...

The Special Issue on Trust and Safety Social Media delves into two pressing interlinked concerns: the growing prevalence of anti-social behavior widespread presence misinformation within across various social media platforms. collection articles featured in issue collectively examines factors that contribute to these concerns proposes potential strategies mitigate their negative impact users society. included are extended versions research first presented at 2022 International Conference...

This study examines the presence and role of Coordinated Link Sharing Behavior (CLSB) on Facebook around "America's Frontline Doctors" press conference, promotion several unproven conspiracy theories including false assertion that hydroxychloroquine is a "cure" for COVID-19 by Dr. Stella Immanuel, one doctors who took part in conference. We collected 7,737 public posts mentioning Immanuel using CrowdTangle then applied specialized program CooRnet to detect CLSB among pages, groups verified...

Resumo Neste artigo, analisamos a circulação de URLs desinformativas no Facebook. Nosso estudo caso é o uso da hidroxicloroquina como cura ou profilaxia para Covid-19. Analisamos presença em mais 70 mil publicações páginas e grupos públicos Utilizamos Análise Redes Sociais mapear das redes Conteúdo identificar as fontes informações desinformação. Nossos resultados mostram que (1) foi polarizada, tanto contexto páginas, quanto grupos; (2) conteúdo desinformativo utilizado reforçar uma...

This study aims to analyze the discursive struggles on Twitter based disinformation campaigns about Marielle Franco's case. We used content analysis identify how spread and which were involved in conversation. created two categories of tweets our analysis: those that helped reverberate disinformation, trying disqualify Marielle, tried deny false accusations, defending Marielle. In results, we found reverberation altered main subject initially highlighted by media outlets – Marielle's public...