Docket+ 9 September
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Highlights
- Book Review: A Misinformation Researcher’s Guide to the ‘Carnival of Mirrors’ (Just Security, 3 September)
- The #Americans: Chinese State-Linked Influence Operation Spamoflage Masquerades as US Voters Push Divisive Online Narratives Ahead of 2024 Election (Graphic, September)
- Best Practices for Producing Culturally Competent Prebunking Messages for U.S. Latinos (DDIA, 4 September)
- Simple fusion-fission quantifies Israel-Palestine violence and suggests multi-adversary solution (ArXiv, 4 September)
- Investigating the role of source and source trust in prebunks and debunks of misinformation in online experiments across four EU countries (Nature, 5 September)
🧵New work from @LauraEdelson2, Damon McCoy & me @cyber4democracy w/ stark finding: "Illegal activity in Ads on Meta Apps linking to Telegram." A simple search found MORE than 1/2 the Telegram-linked ads violated policies, including illegal activity. But there's a simple fix! 1/4
— Yael Eisenstat (@YaelEisenstat) September 4, 2024
Call for Papers
— Alan Jagolinzer (@jagolinzer) September 8, 2024
Cambridge Disinformation Summit 2025
Papers from any discipline or research methods will be considered that relate to the Summit’s theme,
“Research on the efficacy of disinformation interventions”.https://t.co/05WAQyxbMj
1. Academia & Research
1.1 Platforms & Technology
The OII's @KeeganMcB, alongside @_FelixSimon_ and Sacha Altay, assert that AI's impact on elections is being overblown, and the focus on AI is distracting us from some deeper and longer-lasting threats to democracy, for @techreview.https://t.co/5KmtUoLgx1
— Oxford Internet Institute (@oiioxford) September 5, 2024
- Durov, Musk, and Zuckerberg: Tech Oligarchs Cry Censorship and What It All Means (Just Security, 30 August)
- Mythical Beasts and Where to Find Them: Mapping the Global Spyware Market and its Threats to National Security and Human Rights (DFRLab, 4 September)
- Mythical Beasts and Where to Find Them: Data and Methodology (DFRLab, 4 September)
- Modeling offensive content detection for TikTok (ArXiv, 29 August)
- The sound of disinformation: TikTok, computational propaganda, and the invasion of Ukraine (SAGE, 30 August)
- AI misinformation detectors can’t save us from tyranny—at least not yet (Bulletin of the Atomic Scientists, 5 September)
Images & Visualisations
- Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs (GPT-4-Turbo) as Alternative Annotators (OSF, 2 September)
Availability and spread of information
- What drives acceptance and propagation of online misinformation? An integrative re-examination of key enabling factors (OSF, 3 September)
- Exposure to Misinformation Does Not Increase Truth Relativism (OSF, 3 September)
- Who Shares Fake News? Uncovering Insights from Social Media Users' Post Histories (SAGE, 1 September)
1.2 World News
This is astounding.
— Joan Donovan, PhD 🦫 🏳️🌈 (@BostonJoan) September 5, 2024
The common denominator here is YouTube. @YouTube knew its platform could be weaponized by foreign actors to hoax audiences and spread disinformation.
This is what netwar looks like. https://t.co/3DoiCiDxjY
- NewsGuard Uncovers Massive India-Aligned Network Using AI and Fake Accounts to Target Country’s Foes Operating without Detection for Three Years (News Guard, 4 September)
- Exposure to Misinformation Does Not Increase Truth Relativism (OSF, 3 September)
- Understanding anti-immigration sentiment spreading on Twitter (Plos One, 4 September)
- Wolves in Sheep’s Clothing: The Autocratic Subversion of Brazil’s Fourth Estate (SAGE, 4 September)