Evidence map›Paper›PMID 35774418›Full record

ArticlePNAS nexus2022

Tracking group identity through natural language within groups.

Ashwini Ashokkumar, James W Pennebaker

Erratum issuedAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Neural Bases of Collective Social Behavior and Group Interactions across Species.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. GPT is an effective tool for multilingual psychological text analysis.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ashwini AshokkumarPolarization and Social Change Lab, 450 Jane Stanford Way Building 120, Room 201, Stanford, CA 94305, USA.ORCID https://orcid.org/0000-0002-8672-5963
James W PennebakerDepartment of Psychology, University of Texas Austin, 108 E. Dean Keeton, Austin, TX 78712-0187, USA.ORCID https://orcid.org/0000-0001-9091-214X

Funding

Leveraging Social Media Data and Machine Learning to Optimize Treatment Paradigms for Youth with SchizophreniaR01MH117172 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI DE CHOUDHURY, MUNMUN · 2019 to 2022
$2.6M
NIMH NIH HHS R01 MH117172
6 · The paper itself

Abstract

To what degree can we determine people's connections with groups through the language they use? In recent years, large archives of behavioral data from social media communities have become available to social scientists, opening the possibility of tracking naturally occurring group identity processes. A feature of most digital groups is that they rely exclusively on the written word. Across 3 studies, we developed and validated a language-based metric of group identity strength and demonstrated its potential in tracking identity processes in online communities. In Studies 1a-1c, 873 people wrote about their connections to various groups (country, college, or religion). A total of 2 language markers of group identity strength were found: high affiliation (more words like

Indexed as

group identitygroup processeslanguage analysisLIWCnaturalistic observation

Identifiers

PMID35774418
PMCPMC9229362

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.