Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives

04/12/2021
by   Siqi Wu, et al.
0

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 over 20 Perspective API's toxicity score as a measure of quality, we find that conservatives were not significantly more toxic than liberals when users directly commented on the content of videos. However, when users replied to comments from other users, we find that cross-partisan replies were more toxic than co-partisan replies on both left-leaning and right-leaning videos, with cross-partisan replies being especially toxic on the replier's home turf.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/30/2019

YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos

We conduct a preliminary analysis of comments on political YouTube conte...
research
08/22/2019

Auditing Radicalization Pathways on YouTube

Non-profits and the media claim there is a radicalization pipeline on Yo...
research
07/30/2018

YouTube AV 50K: an Annotated Corpus for Comments in Autonomous Vehicles

With one billion monthly viewers, and millions of users discussing and s...
research
07/29/2020

Assessing Viewer's Mental Health by Detecting Depression in YouTube Videos

Depression is one of the most prevalent mental health issues around the ...
research
03/25/2011

Mining User Comment Activity for Detecting Forum Spammers in YouTube

Research shows that comment spamming (comments which are unsolicited, un...
research
09/03/2020

Reading In-Between the Lines: An Analysis of Dissenter

Efforts by content creators and social networks to enforce legal and pol...
research
11/20/2020

Are Chess Discussions Racist? An Adversarial Hate Speech Data Set

On June 28, 2020, while presenting a chess podcast on Grandmaster Hikaru...

Please sign up or login with your details

Forgot password? Click here to reset