10 citations · 20 across the 6 of their papers we have counts for
6 papers
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
Jinfa Huang, Jinsheng Pan, Zhongwei Wan +2
Recent advances show that two-stream approaches have achieved outstanding performance in hateful meme detection. However, hateful memes constantly evolve as new memes emerge by fus…
GPT-4V(ision) as A Social Media Analysis Engine
Hanjia Lyu, Jinfa Huang, Daoan Zhang +6
Recent research has offered insights into the extraordinary capabilities of Large Multimodal Models (LMMs) in various general vision and language tasks. There is growing interest i…
Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets
Jinsheng Pan, Zichen Wang, Weihong Qi +2
Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters. While prior…
Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI through Social Media Analysis
Weihong Qi, Jinsheng Pan, Hanjia Lyu +1
As AI systems become increasingly prevalent in various aspects of daily life, gaining a comprehensive understanding of public perception towards these AI systems has become increas…
Bias or Diversity? Unraveling Fine-Grained Thematic Discrepancy in U.S. News Headlines
Jinsheng Pan, Weihong Qi, Zichen Wang +2
There is a broad consensus that news media outlets incorporate ideological biases in their news articles. However, prior studies on measuring the discrepancies among media outlets…
Computational Assessment of Hyperpartisanship in News Titles
Hanjia Lyu, Jinsheng Pan, Zichen Wang +1
We first adopt a human-guided machine learning framework to develop a new dataset for hyperpartisan news title detection with 2,200 manually labeled and 1.8 million machine-labeled…