Cited by 19Social Media and PoliticsMisinformation and Its ImpactsMedia Influence and Politics

Politically Motivated Avoidance in Social Networks: A Study of Facebook and the 2020 Presidential Election

Open access
Neely, Stephen R.·2021·Social Media + Society

Abstract

This study considers politically motivated unfriending/unfollowing on Facebook in the lead up to the 2020 Presidential election. As social media has grown more central to public discourse, it has been suggested that these types of avoidance behaviors might contribute to the formation of partisan echo chambers, whereby users may limit their exposure to competing viewpoints and corrective information by eliminating the network ties that transmit it. Building on prior research, this study explores the relationship between politically motivated avoidance and user perceptions of social media’s credibility as a source of political information. A pre-election survey of voting age adults in the state of Florida is analyzed to identify both the frequency and predictors of politically motivated avoidance. The results suggest that avoidance is a function of both individual political characteristics and user perceptions of information credibility. The findings are considered in the context of previous literature, and important avenues for future research are discussed.

Integrity signals

Registry

Crossref · 10.1177/20563051211055438

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Neely, S. R.
Affiliations
University of South Florida (US)
Corresponding author
Neely, Stephen R.
Venue
Social Media + Society
Published
2021-10
Volume
7
Issue
4
ISSN
2056-3051 (ISSN-L)
OpenAlex
W3208273877
Cited by
19
References
2
Citations by year
2026: 3 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 1
FWCI
3.31
Type
journal article
Language
en
Open access
Locations
  • Social Media + Society (publishedVersion, cc-by-nc)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Sociology and Political Science › Media Influence and Politics
Keywords
unfriending, Facebook, 2020 presidential election, echo chambers, information credibility, political polarization, social network ties, corrective information, political information sources

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review