“They’re trying to influence me to gain the more acceptable viewpoint”: The algorithmic imaginaries of politically activated social media users

Links between extremism online and personalization algorithms are, by now, widely accepted. However, discussions surrounding sociopolitical radicalization and its relationship to filter bubbles often fail to account for user agency. Based on interview ( N = 29) and survey ( N = 1100) data, our study asks how politically engaged social media users make sense of algorithmic personalization related to political topics of interest. Our results indicate that most respondents conceptualize personalization as a functional process of social media platforms seeking to deliver relevant information, while a small but vocal number of users claim algorithms are designed not to personalize content but rather to enact an ideological agenda. Our findings, which include real-time user responses to algorithms, suggest that algorithms do not simply radicalize unsuspecting users but, rather, are negotiated to reveal a more complex digital landscape.

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Publication Details

Journal
New Media & Society
Published
2025-05-22
DOI
https://doi.org/10.1177/14614448251338502
Citations
1
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
3.86

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“They’re trying to influence me to gain the more acceptable viewpoint”: The algorithmic imaginaries of politically activated social media users

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“They’re trying to influence me to gain the more acceptable viewpoint”: The algorithmic imaginaries of politically activated social media users

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Abstract

Links between extremism online and personalization algorithms are, by now, widely accepted. However, discussions surrounding sociopolitical radicalization and its relationship to filter bubbles often fail to account for user agency. Based on interview ( N = 29) and survey ( N = 1100) data, our study asks how politically engaged social media users make sense of algorithmic personalization related to political topics of interest. Our results indicate that most respondents conceptualize personalization as a functional process of social media platforms seeking to deliver relevant information, while a small but vocal number of users claim algorithms are designed not to personalize content but rather to enact an ideological agenda. Our findings, which include real-time user responses to algorithms, suggest that algorithms do not simply radicalize unsuspecting users but, rather, are negotiated to reveal a more complex digital landscape.

New Media & Society
University of Iowa (US), Washington University in St. Louis (US), Drake University (US)
Minerva Foundation
Openalex Percentile: Top 9%
Social Media and Politics
3.86
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