







New CCDH research shows that X's Community Notes are failing to counter misleading claims about the US election, despite Musk calling it the "best source of truth on the internet.”
The New York Times Ignored Source’s Doubts About Hamas Docs Provided by Israel
A key figure in verifying an incendiary story that sought to link Iran to the October 7 attacks reveals what he actually told the paper.

Election Disinformation in Different Languages is a Big Problem in the U.S.
And it’s driving a wedge between voters in non-English communities Mis- and disinformation about elections predate the endless scroll of modern social media services. [1] Yet easy access to online information channels and amplification tools enable false narratives to spread at a massive scale. When false narratives are combined with data voids and unique cultural […]

Anticipating Election Misinformation in the 2026 Midterms
Election misinformation often follows the same pattern every cycle. Here are some of the false and misleading claims that voters are likely to see.

Elon Musk's X Rots Your Brain
Data indicates that Elon Musk's X algorithms indisputably drive users into right wing propaganda rabbit holes from which they may not be able to untether themselves.
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.

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.
Republican Victory and the Ambience of Information
For years, Democrats have sought to win elections by micro-targeting communities with detailed facts. What if the secret is big, sloppy notions seeded nationwide?

Elon Musk’s X Is A Misinformation Machine—And Black Women Saw It Coming - Essence
For years, Black women have sounded the alarm about digital manipulation. X’s new policies prove how right they were.

A Failure, But Not Of Prediction
I. Vox asks What Went Wrong With The Media’s Coronavirus Coverage? They conclude that the media needs to be better at “not just saying what we do know, but what we don’t know”. This rai…

Recent Utah, Texas incidents fuel rumors and political narratives undermining trust in election integrity
A CIP Election Rumor Rundown

Why the backfire effect does not explain the durability of political misperceptions
Previous research indicated that corrective information can sometimes provoke a so-called “backfire effect” in which respondents more strongly endorsed a misperception about a controversial political or scientific issue when their beliefs or predispositions were challenged. I show how subsequent research and media coverage seized on this finding, distorting its generality and exaggerating its role relative to other factors in explaining the durability of political misperceptions. To the contrary, an emerging research consensus finds that corrective information is typically at least somewhat effective at increasing belief accuracy when received by respondents. However, the research that I review suggests that the accuracy-increasing effects of corrective information like fact checks often do not last or accumulate; instead, they frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims. As a result, misperceptions typically persist in public opinion for years after they have been debunked. Given these realities, the primary challenge for scientific communication is not to prevent backfire effects but instead, to understand how to target corrective information better and to make it more effective. Ultimately, however, the best approach is to disrupt the formation of linkages between group identities and false claims and to reduce the flow of cues reinforcing those claims from elites and the media. Doing so will require a shift from a strategy focused on providing information to the public to one that considers the roles of intermediaries in forming and maintaining belief systems.
Believing misinformation is a “win” for some people, even when proven false
Winning" means prioritizing independence from outside influence over being right.

Facts and Myths about Misperceptions
Misperceptions threaten to warp mass opinion and public policy on controversial issues in politics, science, and health. What explains the prevalence and persistence of these false and unsupported beliefs, which seem to be genuinely held by many people? Though limits on cognitive resources and attention play an important role, many of the most destructive misperceptions arise in domains where individuals have weak incentives to hold accurate beliefs and strong directional motivations to endorse beliefs that are consistent with a group identity such as partisanship. These tendencies are often exploited by elites who frequently create and amplify misperceptions to influence elections and public policy. Though evidence is lacking for claims of a “post-truth” era, changes in the speed with which false information travels and the extent to which it can find receptive audiences require new approaches to counter misinformation. Reducing the propagation and influence of false claims will require further efforts to inoculate people in advance of exposure (for example, media literacy), debunk false claims that are already salient or widespread (for example, fact-checking), reduce the prevalence of low-quality information (for example, changing social media algorithms), and discourage elites from promoting false information (for example, strengthening reputational sanctions).
Andreas De Block on Twitter / X
It took Nature three years to publish this rebuttal, which clearly demonstrates the fundamental flaws in the original paper. In the meantime, the paper's conclusions influenced scientific debate and policy decisions. Such delays in correcting flawed research do real damage. https://t.co/QI3Ei3PE70— Andreas De Block (@DeblockBlock) August 13, 2026
This is crazy! The data from the study show patterns that make it nearly impossible for it to be legit. But we can learn a lot from the tone of the comments. "We have concerns about [x], please clarify." Out in the wild, this would be THESE IDIOTS FAKED THEIR STUDY!!
Health Nerd
This is one of the most remarkable academic debacles I've ever seen. A large RCT got published in BMJ. There are currently 44 Pubpeer comments, mostly about the data, including...well. Read for yourself. pubpeer.com/publications/C08779C45DB6E407…

Facebook and Twitter shutter pro-Trump network reaching 55 million accounts
Quit X (by あ) — Semble

Twitter users #BlockTheBlue as ‘verified’ accounts take on new meaning
Criticism of X (social network)

The political effects of X’s feed algorithm