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Platforms, policy & societySpread & networks
How to Demolish the Disinformation InfrastructureKate Starbird, co-principal investigator at the University of Washington's Center for an Informed Public, discusses the state of disinformation in the aftermath of platform removals (Trump, QAnon), focusing on how moderation actions redirect harmful activity to alternative ("alt-tech") platforms rather than eliminating it. She emphasizes…
Spread & networksPlatforms, policy & society
Mis- and Disinformation During Crisis EventsKate Starbird, associate professor at UW's HCDE and co-founder of the Center for an Informed Public, discusses how misinformation and disinformation spread during crisis events, with case studies from the COVID-19 pandemic and 2020 election. She distinguishes between harmful misinformation (false but well-intentioned), disinformation…
Detection methodsSpread & networks
Fake News in the 2016 and 2018 Campaigns: Prevalence, Detection, and EffectsNyhan presents empirical findings on fake news consumption in the 2016 and 2018 U.S. campaigns, drawing from survey data with browser tracking to measure actual article visits. While mainstream media reported on fake news as a widespread crisis, his research shows that only ~25% of Americans visited fake news websites, and consumption…
Spread & networksBots & coordinated campaigns
5 Reasons Why Social Networks Make Us Vulnerable to MisinformationMenczer presents five fundamental factors that make social networks inherently vulnerable to misinformation spread. Information and misinformation propagate through networks at equivalent rates due to structural properties of scale-free networks combined with human cognitive limitations.
Spread & networksPlatforms, policy & society
Network PropagandaBenkler presents research on media asymmetry during the 2016 U.S. election, revealing that the right-wing media ecosystem operates under a fundamentally different structure than the center and center-left press. Rather than technological systems (Facebook algorithms, Russian interference) or individual-level factors, the key driver of…
Spread & networksBots & coordinated campaigns
The Spread of Misinformation in Social MediaMenczer presents a framework for understanding misinformation spread through social networks as an inevitable consequence of network structure and human cognitive limitations rather than platform design failures. He discusses how structural properties—scale-free topology, finite attention, information overload—create vulnerabilities…
Spread & networksDetection methods
Climate Change Misinformation: Supply, Demand, and the Challenges to ScienceLewandowsky examines climate denial through supply and demand lenses: well-funded disinformation campaigns (billions annually from fossil fuel interests and conservative think tanks) deploy cherry-picked data to infiltrate mainstream media and political rhetoric, while political ideology (conservatism, libertarianism) predisposes people…
Psychology & interventionsPlatforms, policy & society
The Misinformation AgeFalse beliefs persist and spread through social factors—conformity, institutional curation of evidence, and network structure—rather than individual cognitive biases alone. O'Connor examines historical cases (variolation in 18th-century England, tobacco industry strategy) and mathematical models to show how unbiased actors (journalists,…