X (Twitter)
x-twitter--9ac746c8·3 events·first seen 1mo agoAliases: X (Twitter), Twitter, Twitter/X
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AI-Mediated Communication Can Steer Collective Opinion via LLM Editing Biases
This paper demonstrates empirically that LLMs from multiple model families introduce directional biases when editing human-written texts on contested topics (e.g., nudging toward gun control, against atheism). The authors develop a mathematical opinion-dynamics model showing these biases are amplified through social networks, shifting collective opinion at scale. An audit of X's 'Explain this post' feature finds evidence of pro-life bias in Grok's outputs on abortion content, traced to specific design choices. The paper concludes with implications for EU legislative efforts on AI-mediated communication.
Text Analytics Evaluation Framework: Benchmarking LLMs on Social Media NLP Tasks
Researchers introduce a 470-question evaluation framework to assess LLM performance on aggregated social media text, applied to Twitter datasets across sentiment analysis, hate speech detection, and emotion recognition. Results show performance degrades substantially as input scale exceeds 500 instances, particularly for open-weights models on numerical tasks. Multi-label and target-dependent scenarios also show notable performance drops, and task complexity progressively erodes accuracy from basic semantic identification to comparison and counting operations. The findings point to architectural bottlenecks in current LLMs for rigorous quantitative analysis over large text collections.
Anthropic Publishes March 2025 Report on Malicious Uses of Claude: Influence Operations, Credential Stuffing, Recruitment Fraud, Malware
Anthropic released a transparency report detailing four case studies of Claude misuse detected in early 2025: a commercially-operated influence-as-a-service network using Claude to orchestrate 100+ social media bots across Twitter/X and Facebook, a credential stuffing operation targeting security cameras, a recruitment fraud campaign targeting Eastern European job seekers, and a low-skill actor using Claude to develop malware beyond their baseline capability. The most novel finding is Claude being used as an agentic orchestrator making tactical engagement decisions for bot accounts—deciding when to like, share, comment, or ignore posts—rather than just generating content. Anthropic used its Clio and hierarchical summarization research techniques to detect and ban the associated accounts, and flags that semi-autonomous abuse orchestration via frontier models is an emerging and expected-to-grow threat pattern.