Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives
Siqi Wu, Paul Resnick

TL;DR
This study analyzes cross-partisan interactions on YouTube, revealing asymmetric commenting patterns, algorithmic visibility biases, and toxicity levels, challenging simple echo chamber narratives with nuanced insights into political discourse dynamics.
Contribution
It provides the first large-scale measurement of cross-partisan discussions on YouTube, highlighting asymmetries and the impact of platform algorithms on political dialogue.
Findings
Conservatives comment more on left-leaning videos than liberals on right-leaning ones.
Cross-partisan comments are less visible due to YouTube's sorting algorithm.
Cross-partisan replies tend to be more toxic than co-partisan replies.
Abstract
We present the first large-scale measurement study of cross-partisan discussions between liberals and conservatives on YouTube, based on a dataset of 274,241 political videos from 973 channels of US partisan media and 134M comments from 9.3M users over eight months in 2020. Contrary to a simple narrative of echo chambers, we find a surprising amount of cross-talk: most users with at least 10 comments posted at least once on both left-leaning and right-leaning YouTube channels. Cross-talk, however, was not symmetric. Based on the user leaning predicted by a hierarchical attention model, we find that conservatives were much more likely to comment on left-leaning videos than liberals on right-leaning videos. Secondly, YouTube's comment sorting algorithm made cross-partisan comments modestly less visible; for example, comments from conservatives made up 26.3% of all comments on left-leaning…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Social Media and Politics · Misinformation and Its Impacts
