PaperPulse logo
FeedTopicsAI Researcher FeedBlogPodcastAccount

Stay Updated

Get the latest research delivered to your inbox

Platform

  • Home
  • About Us
  • Search Papers
  • Research Topics
  • Researcher Feed

Resources

  • Newsletter
  • Blog
  • Podcast
PaperPulse•

AI-powered research discovery platform

© 2024 PaperPulse. All rights reserved.

Are Open-Weight LLMs Ready for Social Media Moderation? A Comparative Study on Bluesky

ArXivSource

Hsuan-Yu Chou, Wajiha Naveed, Shuyan Zhou, Xiaowei Yang

cs.CL
cs.HC
cs.LG
cs.SI
|
Feb 5, 2026
2 views

One-line Summary

Open-weight large language models (LLMs) show promise for social media moderation, with performance comparable to proprietary models in detecting harmful content on platforms like Bluesky.

Plain-language Overview

With the increasing amount of harmful content on social media, effective moderation is crucial. This study investigates whether open-weight large language models (LLMs), which are freely accessible, can effectively moderate content on social media platforms like Bluesky. The researchers compared various LLMs and found that open-weight models perform similarly to proprietary ones in detecting harmful posts. This suggests that open-weight LLMs could be a feasible option for moderating content while maintaining user privacy and operating on standard consumer hardware.

Technical Details