Users Demand Disclosure For LLM-Assisted Comments
Commenters and observers warn that bots and humans both produce similar online comments, muddying perceptions of authorship and intent. They argue that people who employ large language models to write on their behalf should add explicit disclaimers to preserve human accountability and transparency; without disclosure, commenters say, the line between automated and human-created text can disappear.
Scoring Rationale
Highlights a common, policy-relevant authorship problem but lacks empirical evidence or institutional proposals for enforcement.
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