Daniel Thilo Schroeder

@daniel-thilo.bsky.social

Computers, graphs, and conspiracies: I'm a computational social scientist modeling global disinformation and conspiracy dynamics. Working on digital twins of human societies. Website: https://danielthiloschroeder.org/ Google Scholar: bit.ly/40rkhnL

The distinction between grassroots activism and automated influence is collapsing. We typically worry about "bot farms" or "troll factories." But a distinct, more complex threat is emerging. We call it "Cyborg Propaganda."

The Matrix of Coordinated Influence. Traditional frameworks for analyzing online influence focus on the distinction between human and automated actors (Identity Axis) or between spontaneous and coordinated behavior (Articulation Axis). Bot Nets (top-left) rely on synthetic identities and automated scripts. Troll Farms (bottom-left) use human operators to manage fake personas. Grassroots Action (bottom-right) involves verified citizens sharing self-authored views. Cyborg Propaganda (top-right) represents a new paradigm: verified human users disseminating centrally generated, algorithmically generated narratives, effectively ‘hybridizing’ the authenticity of the grassroots with the scale of the botnet.

Pentagon used Anthropic's Claude in the operation to capture Maduro? The operation included bombing targets in Caracas. Anthropic: "we cannot comment on whether Claude was used for any specific operation." The "safe AI" company hit the battlefield faster than it could update its terms of service?

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Democracy doesn’t require perfect truth—but it does require something more fragile: independent voices. The “wisdom of crowds” depends on independence between judgments. If a single actor can speak through thousands of inauthentic accounts, the apparent consensus of the crowd stops being informative

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After years monitoring Twitter/X, I’ve gathered ~150 TB of research data on public discourse (Covid-19, Ukraine, George Floyd, etc.). X’s legal limits prevent sharing it with the scientific community. If you know lawful ways or partnerships to help us to make it research accessible, please reach out

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🚨In PNAS🚨 The right often accuses fact-checkers of political bias But we analyzed Community Notes on Musk's X and found posts flagged as "misleading" are 2.3x more likely to be written by Reps than Dems! The issue is Reps sharing misinformation, not fact-checker bias... www.pnas.org/doi/10.1073/...

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ALERTE : 19 chercheurs de très haut niveau alertent sur la menace que représentent pour les démocraties les essaims d’IA malveillantes (« Ai Swarms »), qui peuvent se coordonner, échapper à toute détection, créer des informations convaincantes, et manipuler les élections. 1/3

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Pre-print by @daniel-thilo.bsky.social et al. argues that the truth can be bent more quickly than it was in the past. I rarely go that far out on a limb, but in this case it is no longer a question of whether these scenarios will materialise. This is the world we live in and we need to prepare now.👇

Jay Van Bavel, PhD@jayvanbavel.bsky.social · last yr.

The combination of #artificialintelligence and #socialmedia poses a threat to democracy. Our new paper explains how AI swarms can fabricate grassroots consensus, fragment shared reality, engage in mass harassment, interfer with elections, and erode institutional trust: osf.io/preprints/os...