Evidence map›Paper›PMID 39929878›Full record

ArticleScientific reports2025

Unveiling the drivers of active participation in social media discourse.

Anees Baqir, Yijing Chen, Fernando Diaz-Diaz, Sercan Kiyak, Thomas Louf, Virginia Morini, Valentina Pansanella, Maddalena Torricelli, Alessandro Galeazzi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Anees BaqirDepartment of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy.
Yijing ChenDepartment of Network and Data Science, Central European University, Wien, Austria.
Fernando Diaz-DiazInstitute for Cross-Disciplinary Physics and Complex Systems, IFISC (UIB-CSIC), Palma, Spain.
Sercan KiyakInstitute of Media Studies, KU Leuven, Leuven, Belgium.
Thomas LoufInstitute for Cross-Disciplinary Physics and Complex Systems, IFISC (UIB-CSIC), Palma, Spain.
Virginia MoriniDepartment of Computer Science, University of Pisa, Pisa, Italy.
Valentina PansanellaIstituto di scienza e tecnologia dell'informazione "A. Faedo", Consiglio Nazionale delle Ricerche - CNR, Pisa, Italy.
Maddalena TorricelliDepartment of Mathematics, City University of London, London, UK.
Alessandro GaleazziDepartment of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy. alessandro.galeazzi@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of new public forums in the form of online social media has introduced unprecedented challenges to public discourse, including polarization, misinformation, and the rise of echo chambers. Existing research has extensively examined these topics by focusing on the active actions performed by users, without accounting for the share of individuals who consume content without actively interacting with it. In contrast, this study incorporates passive consumption data to investigate the prevalence of active participation in online discourse. We introduce a metric to quantify the share of active engagement and analyze over 17 million pieces of content linked to a polarized Twitter debate to understand its relationship with several features of online environments, such as echo chambers, coordinated behavior, political bias, and source reliability. Our findings reveal a significant proportion of users who consume content without active interactions, underscoring the importance of considering also passive consumption proxies in the analysis of online debates. Furthermore, we found that increased active participation is primarily correlated with the presence of multimedia content and unreliable news sources, rather than with the ideological stance of the content producer, suggesting that active engagement is independent of echo chambers. Our work highlights the significance of passive consumption proxies for quantifying active engagement, which influences platform feed algorithms and, consequently, the development of online discussions. Moreover, it highlights the factors that may encourage active participation, which can be utilized to design more effective communication campaigns.

Indexed as

Social MediaSocial ParticipationCommunicationHumans

Identifiers

PMID39929878
PMCPMC11810998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.