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Research Note

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).

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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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Commentary

Fact-Checking

Narrative monitoring and argument-checking: Enhancing effectiveness in countering disinformation beyond fact-checking

Celia Ramos, Clara Jiménez-Cruz and Pablo Hernández-Escayola

In the October 2024 flash floods in Spain, social media posts falsely claimed authorities were concealing the number of casualties. The narrative centered on a flooded parking structure in Valencia, where hundreds of bodies were falsely claimed to be trapped. This narrative gained traction even after videos showing the premises had been evacuated.

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Commentary

Fact-Checking

Fact-checking in the multipolar AI order: Between epistemic sovereignty and ambivalence

Gregory Asmolov

Fact-checking has become a key response to disinformation during crises and conflicts, but its role is increasingly contested due to concerns about its effectiveness and its co-optation by different political actors. In polarized, high-choice environments, fact-checking is often embedded within partisan and state-aligned infrastructures, shaping validation and rejection of knowledge claims.

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Fact-Checking

Accountability in name only: Fact-checking under the EU’s Code of Practice on Disinformation

Madalina Botan

Major platforms constantly claim to fight disinformation and support the fact checking community, but their transparency reports and the empirical evidence from a survey of expert fact checkers across 21 EU countries show a different reality. This study finds that despite commitments made under EU regulations, expert fact checkers remain largely peripheral actors within the existing platform governance framework, with limited insight into how their work influences platform decisions.

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Research Note

On the same page? Experts are mostly, but not always aligned about disinformation in times of generative AI

Teresa Weikmann, Ferre Wouters, Marina Tulin, Michael Hameleers, Claes de Vreese, Brahim Zarouali and Michaël Opgenhaffen

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.

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Not so different after all? Antecedents of believing in misinformation and conspiracy theories on COVID-19

Florian Wintterlin

Misinformation and conspiracy theories are often grouped together, but do people believe in them for the same reasons? This study examines how these conceptually distinct forms of deceptive content are processed and believed using the COVID-19 pandemic as context. Surprisingly, despite their theoretical differences, belief in both is predicted by similar psychological factors—particularly conspiracy mentality and the perception that truth is politically constructed—suggesting that underlying distrust in institutions may outweigh differences in types of deceptive content in shaping susceptibility.

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Research Note

LLMs grooming or data voids? LLM-powered chatbot references to Kremlin disinformation reflect information gaps, not manipulation

Maxim Alyukov, Mykola Makhortykh, Alexandr Voronovici and Maryna Sydorova

Some of today’s most popular large language model (LLM)-powered chatbots occasionally reference Kremlin-linked disinformation websites, but it might not be for the reasons many fear. While some recent studies have claimed that Russian actors are “grooming” LLMs by flooding the web with disinformation, our small-scale analysis finds little evidence for this.

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Contextualizing critical disinformation during the 2023 Voice referendum on WeChat: Manipulating knowledge gaps and whitewashing Indigenous rights

Fan Yang, Luke Heemsbergen and Robbie Fordyce

Outside China, WeChat is a conduit for translating and circulating English-language information among the Chinese diaspora. Australian domestic political campaigns exploit the gaps between platform governance and national media policy, using Chinese-language digital media outlets that publish through WeChat’s “Official Accounts” feature, to reproduce disinformation from English-language sources.

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