3 papers
cs.SI2026
Separating Clicks from Baits: Using Large Language Models to Detect Misleading YouTube Thumbnails
Wajiha Naveed, Muhammad Muneeb Pervez, Zaeem Mohtashim Khan +2
Misleading video thumbnails on platforms like YouTube are a pervasive problem, undermining user trust and platform integrity. This paper proposes a novel multi-modal detection pipe…
cs.CL2026
Are Open-Weight LLMs Ready for Social Media Moderation? A Comparative Study on Bluesky
Hsuan-Yu Chou, Wajiha Naveed, Shuyan Zhou +1
As internet access expands, so does exposure to harmful content, increasing the need for effective moderation. Research has demonstrated that large language models (LLMs) can be ef…
cs.SI2025
ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings
Wajiha Naveed, Zartash Afzal Uzmi, Zafar Ayyub Qazi
Misleading video thumbnails on platforms like YouTube are a pervasive problem, undermining user trust and platform integrity. This paper proposes a novel multi-modal detection pipe…