Evidence map›Paper›PMID 38060826›Full record

ReviewPerspectives on psychological science : a journal of the Association for Psychological Science2024

How Social Media Algorithms Shape Offline Civic Participation: A Framework of Social-Psychological Processes.

Haesung Jung, Wenhao Dai, Dolores Albarracín

Open access · greenAbstract readReview
In one paragraph

Review in Perspectives on psychological science : a journal of the Association for Psychological Science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Changing beliefs or changing behavior? Understanding the belief-to-behavior process and intervening to curb the impact of misinformation.Journal of consumer psychology : the official journal of the Society for Consumer Psychology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Haesung JungAnnenberg Public Policy Center, University of Pennsylvania.
Wenhao DaiAnnenberg Public Policy Center, University of Pennsylvania.
Dolores AlbarracínAnnenberg Public Policy Center, University of Pennsylvania.
University of Pennsylvania · US

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI DAVID S METZGER · 1999 to 2026
$78.6M
Digital, Community-Led, Social Action Initiative to Reduce Opioid Vulnerability and HIV/HCV in Rural Areas of the Midwest and AppalachiaDP1DA048570 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2023
$4.0M
Understanding the Regional Ecology of a Future HIV VaccineR01MH132415 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI DOLORES ALBARRACIN · 2023 to 2026
$2.9M
Mining Social Media Messages for HIV Testing and Prevention CommunicationR01MH114847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2018 to 2022
$2.9M
Development and validation of regional models of HIV vulnerabilities and solutionsR01AI147487 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2022
$2.4M
NIAID NIH HHS P30 AI045008NIAID NIH HHS R01 AI147487NIDA NIH HHS DP1 DA048570NIMH NIH HHS R01 MH114847NIMH NIH HHS R01 MH132415
6 · The paper itself

Abstract

Even though social media platforms have created opportunities for more efficient and convenient civic participation, they are unlikely to bring about social change if the online actions do not propagate to offline civic participation. This article begins by reviewing the meta-analytic evidence on the relation between social media use and offline civic participation. Following this discussion, we present a theoretical framework that incorporates the attitudinal, motivational, and relational processes that may mediate the effect of social media use on offline civic participation. The framework highlights how social media algorithms may shape attitudes on important societal issues, promote generalized action goals among habitual users, and build social capital. We further discuss factors that may strengthen or undermine each of these processes, suggest ways to design and implement algorithms that may promote offline civic participation, and propose questions for future research.

Indexed as

Social MediaAlgorithmsAttitudeHumansMotivationSocial CapitalSocial ChangeSocial Participationactionactivismalgorithmcivic participationsocial media

Identifiers

PMID38060826
PMCPMC12421319
OpenAlexW4389429304

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.