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Liberals and conservatives share information differently on social media
Ho-Chun Herbert Chang1, James N Druckman2, Emilio Ferrara3,4
1Program in Quantitative Social Science, Dartmouth College, Hanover, NH 03755, USA.
Liberals share more diverse and toxic political content on social media than conservatives. This study analyzed millions of messages shared by US Congress members on Twitter to understand ideological differences in content diffusion.
Area of Science:
- Political Science
- Computational Social Science
- Communication Studies
Background:
- Social media platforms enable direct communication between politicians and citizens.
- Citizens are key agents in the dissemination of political information online.
- Understanding ideological differences in content sharing is crucial for political communication research.
Purpose of the Study:
- To investigate whether conservative and liberal citizens differ in their choices of sharing politicians' social media content.
- To analyze the breadth of issues and content toxicity shared by different political ideologies on social media.
Main Methods:
- Analysis of over 13 million users' sharing of 1,293,753 messages from US Congress members on Twitter (2009-2019).
- Leveraging political ideology estimates derived from over 3.5 billion prior retweets.
- Utilizing a standard classifier to rate the toxicity of shared content.
Main Results:
- Liberals retweeted statements covering a broader range of issues compared to conservatives.
- Liberals shared statements with content rated as relatively more toxic.
- Results suggest liberals may be exposed to more diverse and toxic content from elected representatives due to political homophily.
Conclusions:
- Ideological differences significantly shape the consumption and dissemination of political content on social media.
- Findings highlight potential implications for political polarization and information exposure within different ideological groups.
- Further research is needed to explore the underlying explanations for these observed patterns in content sharing.
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