Author

Ingmar Weber

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#artificial intelligence Preprint Sep 2026

Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms

Empirical research on content moderation is fundamentally constrained by the opaque deployment of moderation systems on major social media platforms. To this end, the recent emergence of decentralized platforms with transparent, public moderation logs presents an unprecedented opportunity for independent audits. In thi...

Pushpdeep Singh, Sayeh Jarollahi, Ayan Majumdar et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

The growing complexity of content moderation policies presents a critical challenge for their consistent operationalization. While foundation models possess the basic capabilities needed to confront this challenge, whether they can reliably moderate online content remains an unanswered question. In this paper, we syste...

Ayan Majumdar, Shounak Paul, Pushpdeep Singh et al. · 2 citations

#artificial intelligence Preprint Sep 2026

C$^{3}$T: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

C$^{3}$T (Counterfactual Causal Conversation Transformer), a thread-structured temporal model that jointly predicts node sentiment and shifts, learns sparse ancestor attribution, and supports counterfactual queries by forcing conversational intervention embeddings on or off to estimate potential outcomes, is proposed.

S M Rafiuddin, Atriya Sen, Thomas R. Davidson et al. · 0 citations