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How do social media feed algorithms affect attitudes and behavior in an election campaign?
Andrew M Guess1, Neil Malhotra2, Jennifer Pan3
1Department of Politics and School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
Switching Facebook and Instagram users to chronological feeds reduced platform use and altered content exposure. However, this change did not significantly impact users' political polarization or knowledge during the 2020 US election.
Area of Science:
- Social Media Research
- Political Communication
- Computational Social Science
Background:
- Social media platforms like Facebook and Instagram utilize complex algorithms to curate user feeds.
- These algorithms significantly influence the information users consume, particularly during critical events like elections.
- Understanding the impact of algorithmic versus chronological feeds is crucial for assessing their societal effects.
Purpose of the Study:
- To investigate the effects of algorithmic versus reverse-chronologically-ordered feeds on user behavior and attitudes.
- To analyze how feed curation impacts exposure to different types of content on Facebook and Instagram.
- To determine if switching to chronological feeds influences political polarization, knowledge, and other key attitudes.
Main Methods:
- A sample of consenting users was assigned to either algorithmic or reverse-chronologically-ordered feeds on Facebook and Instagram.
- User activity, time spent on platforms, and content exposure were monitored over a 3-month period during the 2020 US election.
- Measures of issue polarization, affective polarization, and political knowledge were assessed.
Main Results:
- Algorithmic feeds significantly decreased user time spent on platforms and overall activity.
- Chronological feeds increased exposure to political and untrustworthy content on both platforms.
- On Facebook, chronological feeds reduced uncivil content exposure but increased exposure to moderate sources and ideologically mixed audiences.
Conclusions:
- Shifting from algorithmic to chronological feeds substantially alters the user experience and content exposure on social media.
- Despite significant changes in on-platform experience, chronological feeds did not demonstrably alter users' political polarization or knowledge levels.
- The findings suggest that while feed curation impacts information consumption, its effect on core political attitudes may be limited in the short term.
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