[PDF] arxiv.org

Reading between the tweets: Deciphering ideological stances of interconnected mixed-ideology communities

Z He, A Rao, S Guo, N Mokhberian… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advances in NLP have improved our ability to understand the nuanced worldviews
of online communities. Existing research focused on probing ideological stances treats …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

Inducing political bias allows language models anticipate partisan reactions to controversies

Z He, S Guo, A Rao, K Lerman - arXiv preprint arXiv:2311.09687, 2023 - arxiv.org
Social media platforms are rife with politically charged discussions. Therefore, accurately
deciphering and predicting partisan biases using Large Language Models (LLMs) is …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Quantifying Influencer Effects on Affective Polarization

R Rashid, J Melton, O Ghorbani, S Krishnan… - arXiv preprint arXiv …, 2024 - arxiv.org
In an era where digital platforms increasingly mediate public discourse, grasping the
complexities and nuances in affective polarization--especially as influenced by key figures …
相关文章 所有 2 个版本