🚨 New paper alert at #CHI2026! In order to learn from aggregated community preferences, we often treat upvotes, golds, and awards as signals of what communities value. But which linguistic features actually drive those signals, and which are just surface correlations? I’ll be presenting my work "The Language of Approval: Identifying the Drivers of Positive Feedback Online" at CHI 2026 in Barcelona, Spain 🇪🇸 🔗 arxiv.org/pdf/2509.10370 In this paper, we study 100 Reddit communities and use causal inference to identify which linguistic features actually drive positive feedback like upvotes, gold, and awards. Huge thanks to @lambert_char and my advisor @eshwar_chan for their help! More details in 🧵 [1/7]

🚨 New #NAACL2025 paper alert: “SLM-Mod: Small Language Models Surpass LLMs at Content Moderation” We show that fine-tuned small language models outperform LLMs like GPT-4o for content moderation tasks, with higher accuracy and recall! 🔗 arXiv: arxiv.org/pdf/2410.13155 🧵[1/7]

Excited to attend #CSCW2024! Learn more about our work on measuring epistemic trust, presented by Dominic in session 2e, and the role of positive reinforcement in online moderation, presented by @lambert_char in session 3d, on Tuesday 🤙