A quote by Garry Kasparov

Capturing our Attention

What are the harms of misinformation? It’s widely believed that it causes false belief, including false beliefs in quite bizarre claims. I argue that this threat is greatly exaggerated: while plaus...

Disinformation and grievance narratives

Synthese - Disinformation is often defined as misleading content intended to instill false beliefs. But this definition is too narrow. We need to focus instead on its broader epistemic effects....

How propaganda exploits the infrastructure of truth: A case study of #IStandWithPutin

This paper investigates the #IStandWithPutin hashtag campaign as a case study to conceptualise “infrastructural propaganda,” an influence strategy that manipulates the invisible processes and syste...

The Liar’s Dividend: Can Politicians Claim Misinformation to Evade Accountability?

This study addresses the phenomenon of misinformation about misinformation, or politicians "crying wolf"' over fake news. Strategic and false claims that stories are fake news or deepfakes may benefit politicians by helping them maintain support after a scandal. We posit that this benefit, known as the "liar's dividend," may be achieved through two politician strategies: by invoking informational uncertainty or by encouraging oppositional rallying of core supporters. We administer five survey experiments to over 15,000 American adults detailing hypothetical politician responses to stories describing real politician scandals. We find that claims of misinformation representing both strategies raise politician support across partisan subgroups. These strategies are effective against text-based reports of scandals, but are largely ineffective against video evidence and do not reduce general trust in media. Finally, these false claims produce greater dividends for politicians than alternative responses to scandal, such as remaining silent or apologizing.

When Do Parties Lie? Misinformation and Radical-Right Populism Across 26 Countries - Petter Törnberg, Juliana Chueri, 2026

The spread of misinformation has emerged as a global concern. Academic attention has recently shifted to emphasize the role of political elites as drivers of mi...

Deepfakes, Elections, and Shrinking the Liar’s Dividend

Heightened public awareness of the power of generative AI could give politicians an incentive to lie about the authenticity of real content.

Language Models Trained on State Media Sources Launder Propaganda

Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy. We publish opinion and analysis.

A well-funded Moscow-based global ‘news’ network has infected Western artificial intelligence tools worldwide with Russian propaganda

An audit found that the 10 leading generative AI tools advanced Moscow’s disinformation goals by repeating false claims from the pro-Kremlin Pravda network 33 percent of the time

Fake news spreads like an epidemic. Here’s how to stop it.

Researchers study fake news the same way they study the spread of disease. When misinformation “goes viral”, it is not just a metaphor. It is what’s actually happening. via @straits_times str.sg/viz-misinformation

(PDF) Post-truth and Disinformation: Using discourse analysis to understand the creation of emotional and rival narratives in Brexit

PDF | The present research explores the concept of post-truth and disinformation in regard to Brexit. It is a qualitative and exploratory investigation.... | Find, read and cite all the research you need on ResearchGate

Deep Storytelling: Collective Sensemaking and Layers of Meaning in U.S. Elections

Misinformation and disinformation about elections remain pressing concerns for researchers, policymakers, and the public. Critics, however, argue that fears surrounding these issues are exaggerated due to a lack of evidence of impact. This debate highlights the challenges inherent in assessing the impacts of misinformation, as the drivers of false and misleading content often exist in the context of a specific claim. To address this issue, we examined false and misleading information surrounding the 2020 and 2022 U.S. national elections, focusing on the contextual features of online conversations that fueled various rumors. We developed two qualitative codebooks, creating the second after realizing that the first, which labeled individual tweets, failed to capture broader rumoring dynamics. By integrating multi-layered qualitative coding with thematic analysis and quantitative visualizations, we show how influencers, political elites, and audiences collaboratively told deep stories from 2020 through 2022. As these stories were told, audiences interpreted events in 2022 through the lens of the 2020 story, guided by influencers' cues, leading to an evolution in storytelling style between the two election cycles. This ongoing performance was tailored to align with the incentive structures, affordances, and attention economy of social media. We combine deep stories with theories of collective sensemaking and rumoring, creating a framework to better assess the contextual features surrounding false and misleading information.

We're getting the social media crisis wrong

The bigger problem isn't disinformation. It's degraded democratic publics

We're getting the social media crisis wrong

The bigger problem isn't disinformation. It's degraded democratic publics

What's Wrong with Bullshit

Past philosophical analyses of bullshit have generally presented bullshit as a formidable threat to truth. However, most of these analyses also reduce bullshit to a mere symptom of a greater evil (e.g. indifference towards truth). In this paper, I introduce a new account of bullshit which, I argue, is more suited to understand the threat posed by bullshit. I begin by introducing a few examples of “truth-tracking bullshit”, before arguing that these examples cannot be accommodated by past, process-based accounts of bullshit. I then introduce my new, output-based account of bullshit, according to which a claim is bullshit when it is presented as or appears as interesting at first sight but is revealed not to be that interesting under closer scrutiny. I present several arguments in favor of this account, then argue that it is more promising than past accounts when it comes to explaining how bullshit spreads and why it is a serious threat to truth.

Fascintern Media

We are facing a coordinated international fascist movement that works with explicit backing from Moscow, Washington, and tech monopolies, and is propagating itself through its own media apparatus. Yet people who claim to side with democracy keep doing work to support Fascintern media because they misunderstand how it works. This needs to change.