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.
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 […]
In Texas, AI-generated political ads are blurring the line between real and fake - Poynter
Experts say increasingly realistic campaign ads could make it harder for voters to distinguish authentic messages from fabricated ones
When everything is news, nothing is news
Thoughtlessly repeating PR talking points and sharing guesswork as rumor is creating a trust problem.
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.
Dialogues on Democracy: Belief-Tailored AI Conversations Reduce Inaccurate Election Denial Beliefs
Elections, while central to democratic functioning, have become increasingly threatened by beliefs about election fraud. Artificial intelligence (AI) provides a novel opportunity to address such false beliefs through dynamic conversation and debunking. Through two experiments (N = 1,802 Republicans from Lucid who endorsed election fraud claims), we examined the use of AI to fact-check 2020 election conspiracies prior to the 2024 US Presidential election. We tested the effects of two treatments (an information-tailored and values-tailored AI dialogue) in which AI fact-checked their claims and tailored arguments to the specific election conspiracy that the participant themselves articulated. Both treatment conditions, when compared to a control dialogue and a simple statement that the conspiracy was incorrect, reduced confidence in their election conspiracy claims. There was no significant difference between information-tailored and values-tailored feedback. Promisingly, participants with the strongest baseline denialism experienced the largest decreases in denialism beliefs. These studies highlight the potential of AI-driven interventions to address election misinformation.
Semafor Keeps Hosting Ridiculous “Restoring Trust In Media” Events That Only Further Undermine Trust In Media
You might recall that when political news website Semafor entered the media industry on the back of $25 million in private money, they made all kinds of promises about how they were somehow going t…
Commentary: The blueprint for fighting Trump's attempt to sabotage the election, drawn up in Minnesota • Minnesota Reformer
The evidence is all around us, but you have to connect dots and see the full picture.
Election Defense Scenarios - Freedom Trainers
Election Defense Scenarios is a field guide for protecting democracy. This resource walks readers through eighteen detailed scenarios — from voter roll purges and redistricting attacks to armed intimidation at polling places and post-election certification battles — giving organizers, poll workers, community leaders, and everyday citizens the knowledge they need before a crisis hits. Each […]
Colorado Was Targeted as Trump Fumed Over Election Denier, Email Shows
The state has accused the government in a lawsuit of retaliating after the conviction of Tina Peters, a Trump supporter. An administration official convened a group to discuss “immediate actions.”
Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election
Coordinated information operations remain a persistent challenge on social media, despite platform efforts to curb them. While previous research has primarily f
Voter ID Has Damaged Trust in UK Elections, Study Finds
Young people, low-income and trans voters were among the groups hardest hit by the policy imposed by the last Conservative Government, academics found
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...
Priorities | celeste4sos.com
The right to vote, better representation and election integrity.
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.
Conspiracy theory: US electoral fraud
How Trump’s obsession with ‘rigged’ voting machines spread across US government