A pipeline that maps German Twitter news sharing in a two-dimensional political space and at story, outlet, and topic levels reveals within-outlet and within-topic partitioning that one-dimensional outlet-level analyses miss.
Evaluating the Relationship Between News Source Sharing and Political Beliefs
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
In an era marked by an abundance of news sources, access to information significantly influences public opinion. Notably, the bias of news sources often serves as an indicator of individuals' political leanings. This study explores this hypothesis by examining the news sharing behavior of politically active social media users, whose political ideologies were identified in a previous study. Using correspondence analysis, we estimate the Media Sharing Index (MSI), a measure that captures bias in media outlets and user preferences within a hidden space. During Argentina's 2019 election on Twitter, we observed a predictable pattern: center-right individuals predominantly shared media from center-right biased outlets. However, it is noteworthy that those with center-left inclinations displayed a more diverse media consumption, which is a significant finding. Despite a noticeable polarization based on political affiliation observed in a retweet network analysis, center-left users showed more diverse media sharing preferences, particularly concerning the MSI. Although these findings are specific to Argentina, the developed methodology can be applied in other countries to assess the correlation between users' political leanings and the media they share.
fields
cs.SI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
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A political cartography of news sharing: Capturing story, outlet and content level of news circulation on Twitter
A pipeline that maps German Twitter news sharing in a two-dimensional political space and at story, outlet, and topic levels reveals within-outlet and within-topic partitioning that one-dimensional outlet-level analyses miss.