1 code implementation • 13 Nov 2023 • Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, Jiebo Luo
Our investigation begins with a preliminary quantitative analysis for each task using existing benchmark datasets, followed by a careful review of the results and a selection of qualitative samples that illustrate GPT-4V's potential in understanding multimodal social media content.
no code implementations • 18 Sep 2023 • Jinsheng Pan, Zichen Wang, Weihong Qi, Hanjia Lyu, Jiebo Luo
Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters.
no code implementations • 8 Aug 2023 • Richard Jiarui Tong, Cassie Chen Cao, Timothy Xueqian Lee, Guodong Zhao, Ray Wan, FeiYue Wang, Xiangen Hu, Robin Schmucker, Jinsheng Pan, Julian Quevedo, Yu Lu
This paper presents the Never Ending Open Learning Adaptive Framework (NEOLAF), an integrated neural-symbolic cognitive architecture that models and constructs intelligent agents.
no code implementations • 28 Mar 2023 • Jinsheng Pan, Weihong Qi, Zichen Wang, Hanjia Lyu, Jiebo Luo
There is a broad consensus that news media outlets incorporate ideological biases in their news articles.
1 code implementation • 16 Jan 2023 • Hanjia Lyu, Jinsheng Pan, Zichen Wang, Jiebo Luo
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 titles that were posted from 2014 to the present by nine representative media organizations across three media bias groups - Left, Central, and Right in an active learning manner.