Explore All Articles

We conducted an expert survey of almost a hundred academics, fact checkers, and journalists who actively work towards mitigating disinformation and providing policy advice in the European context to examine whether they share views on generative artificial intelligence’s (AI) role in disinformation.

Rather than assuming that people are motivated to fact-check, we investigated the process that people go through when and if they encounter political misinformation. Using a digital diary method, we asked 38 participants to collect examples of political misinformation during Australia’s 2025 federal election and explain why they determined it to be misinformation (n = 254).

How effective are user corrections in combatting misinformation on social media, and does adding a link to a fact check improve their effectiveness? We conducted a pre-registered online experiment on representative samples of the online population in Brazil, India, and the United Kingdom (N participants = 3,000, N observations = 24,000).

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

In this study, we used a two-wave panel and a real-world intervention during the 2017 UK general election to investigate whether fact-checking can reduce beliefs in an incorrect campaign claim, source effects, the duration of source effects, and how predispositions including political orientations and prior exposure condition them.

This study examined four fact checkers (Snopes, PolitiFact, Logically, and the Australian Associated Press FactCheck) using a data-driven approach. First, we scraped 22,349 fact-checking articles from Snopes and PolitiFact and compared their results and agreement on verdicts. Generally, the two fact checkers agreed with each other, with only one conflicting verdict among 749 matching claims after adjusting minor rating differences.

This paper examines strategies for making misinformation interventions responsive to four communities of color. Using qualitative focus groups with members of four non-profit organizations, we worked with community leaders to identify misinformation narratives, sources of exposure, and effective intervention strategies in the Asian American Pacific Islander (AAPI), Black, Latino, and Native American communities.

As the 2020 campaign unfolded, with a mix of extraordinary embellishments and outright falsehoods, President Trump’s attacks on the integrity of the U.S. electoral system grew louder and more frequent. Trump-aligned Republican candidates have since advanced similar false claims in their own campaigns in the lead-up to the 2022 midterm elections.

Facebook has claimed to fight misinformation notably by reducing the virality of posts shared by “repeat offender” websites. The platform recently extended this policy to groups. We identified websites and groups that repeatedly publish false information according to fact checkers and investigated the implementation and impact of Facebook’s measures against them.