logo
ResearchBunny Logo
Where do cross-cutting discussions happen?: Identifying cross-cutting comments on YouTube videos of political vloggers and mainstream news outlets

Political Science

Where do cross-cutting discussions happen?: Identifying cross-cutting comments on YouTube videos of political vloggers and mainstream news outlets

S. W. Chae and S. H. Lee

This study examines whether social media fosters echo chambers or cross-cutting discussions by analyzing political vloggers' comment threads and comparing them with mainstream news outlet videos. Using manual content analysis for vlogger comments and NLP classifiers (logistic regression, SVM, random forest) for news comments, the study finds cross-cutting discussion proportions vary by channel political leaning and media type, and suggests neutral news outlets may serve as venues for cross-cutting dialogue. This research was conducted by Seung Woo Chae and Sung Hyun Lee.... show more
Abstract
Since the conception of social media, research on political communication has pointed toward the risk that the social media environment can foster political echo chambers. However, this has recently been contradicted by some studies demonstrating "cross-cutting discussions" on social media. The current study extends this literature by particularly focusing on communication on political vlogger videos and having mainstream news outlet videos as a reference point. Specifically, this study addresses five points: (1) to what extent cross-partisan comments occupy conservative and liberal vloggers' comment threads and if there is a significant difference between the two, (2) the possibility that comments from vlogger videos can be utilized to predict the political leanings of comments on mainstream news outlet videos, (3) if the proportion of cross-cutting discussions on mainstream news outlet videos significantly varies by the news outlet's political leaning, (4) if a neutral news outlet channel can work as a venue for cross-cutting discussions, and (5) if the proportion of cross-cutting comments in mainstream news outlet comment threads is significantly different from that in vlogger comment threads. Both manual and computational analyses were employed; the political leanings of vlogger comments were analyzed by manual content analysis, and based on the results, the political leanings of mainstream news outlet comments were analyzed by NLP classifiers using three different algorithms—logistic regression, SVM, and random forest. As a result, we found that the proportion of cross-cutting discussions significantly varies by both the channel's political leaning and media type. In addition, our results suggest the possibility of neutral news outlets as a place for cross-cutting discussions.
Publisher
PLOS ONE
Published On
May 29, 2024
Authors
Seung Woo Chae, Sung Hyun Lee
Tags
Cross-cutting discussions
Political vloggers
Mainstream news outlets
Echo chambers
Comment thread analysis
NLP classifiers
Political leaning
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny