Tackling toxic behavior in digital communication continues to be a pressing concern for both academics and industry professionals. While significant research has explored toxicity on platforms like social networks and discussion boards, podcasts despite their rapid rise in popularity remain relatively understudied in this context. This work seeks to fill that gap by curating a dataset of political podcast transcripts and analyzing them with a focus on conversational structure. Specifically, we investigate how toxicity surfaces and intensifies through sequences of replies within these dialogues, shedding light on the organic patterns by which harmful language can escalate across conversational turns. Warning: Contains potentially abusive/toxic contents.
@article{arxiv.2501.12640,
title = {Toxicity Begets Toxicity: Unraveling Conversational Chains in Political Podcasts},
author = {Naquee Rizwan and Nayandeep Deb and Sarthak Roy and Vishwajeet Singh Solanki and Kiran Garimella and Animesh Mukherjee},
journal= {arXiv preprint arXiv:2501.12640},
year = {2025}
}