Recent Articles
Alternative science against the corrupt elites? The effects of pseudoscience and censorship accusations in health misinformation
Ozan Kuru and Siyu Zhang
Due to extensive regulations, pseudoscience and accusations of censorship are increasingly used as persuasive strategies in health misinformation. How effective are these? This experiment examines the effects of pseudoscientific misinformation about COVID-19 vaccines and genetically modified organisms (GMOs) by accounting for the rhetoric of the “persecuted hero narrative” (Baker, 2022), which involves accusations of censorship against media, platforms, and governments.

Turning OSINV inside the machine: Open-source investigations and information disorder
Philip Di Salvo
Open-source investigators and OSINV journalists have spent the last decade turning publicly available data into evidence of war crimes, environmental harms, and human rights abuses. More recently, they have trained the same lens on a different target: the algorithms, bot networks, and generative AI systems that industrialise deception and information disorder.
Professional and community-based fact-checking show different strengths, but neither performs strongly across trust, scalability, and impact
Petter Bae Brandtzaeg, Silje Susanne Alvestad, Jonas R. Kunst and Asbjørn Følstad
Fact-checking on social media matters more than ever. When Meta abandoned professional fact checkers in 2025 in favour of crowd-sourced annotations, it bet that community participation could substitute for institutional expertise. Our systematic review of 21 empirical studies of social media fact-checking (2022–2025) suggests the picture is more complicated than it appears.

Experts disagree on how to fight AI disinformation, but agree that health and politics need different solutions
Alexander Loth, Martin Kappes and Marc-Oliver Pahl
When 54 international experts assessed AI-generated disinformation threats, they revealed a surprising pattern: while video deepfakes received the highest average threat ratings in the political domain (M = 6.31/7), the pattern differed in the health domain, where AI-generated text received the highest average rating (M = 5.80).

Fact-Checking
“When politicians make claims, we are journalists”: Political fact-checking and social media partnerships
Nathalia Gonzalez, Juliana da Cunha Mota and Nicole Stremlau
This article examines how fact checkers in the EU perceive and respond to tensions between their journalistic commitment to political fact-checking and platform partnership rules that restrict the rating of politicians’ claims. Drawing on interviews and survey responses, we find that they understand their work through a journalistic role conception, including a commitment to scrutinizing political elites.
Amplifying the storm: Climate disinformation dynamics during natural disasters on right-wing extremist Telegram channels
Diego DiMattina, André Sobral and David Nemer
Climate change amplifies natural disasters, posing an existential threat to our society. However, a digital storm is raging on right-wing extremist Telegram channels where climate disinformation works to delegitimize scientific consensus. Investigating the factors that amplify climate disinformation is as critical to combating it as understanding natural disasters and their drivers. We
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