Journalistic interventions matter: Understanding how Americans perceive fact-checking labels
Chenyan Jia and Taeyoung Lee
While algorithms and crowdsourcing have been increasingly used to debunk or label misinformation on social media, such tasks might be most effective when performed by professional fact checkers or journalists. Drawing on a national survey (N = 1,003), we found that U.S. adults evaluated fact-checking labels created by professional fact checkers as more effective than labels by algorithms and other users. News
Brazilian Capitol attack: The interaction between Bolsonaro’s supporters’ content, WhatsApp, Twitter, and news media
Joao V. S. Ozawa, Josephine Lukito, Felipe Bailez and Luis G. P. Fakhouri
Bolsonaro’s supporters used social media to spread content during key events related to the Brasília attack. An unprecedented analysis of more than 15,000 public WhatsApp groups showed that these political actors tried to manufacture consensus in preparation for and after the attack. A cross-platform time series analysis showed that the spread of content on Twitter predicted the spread of content on WhatsApp.
Fact-opinion differentiation
Matthew Mettler and Jeffery J. Mondak
Statements of fact can be proved or disproved with objective evidence, whereas statements of opinion depend on personal values and preferences. Distinguishing between these types of statements contributes to information competence. Conversely, failure at fact-opinion differentiation potentially brings resistance to corrections of misinformation and susceptibility to manipulation.