Evidence map›Paper›PMID 40670387›Full record

ArticleScientific data2025

DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter.

Kai-Cheng Yang, Pranav Goel, Alexi Quintana-Mathé, Luke Horgan, Stefan D McCabe, Nir Grinberg, Kenneth Joseph, David Lazer

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Kai-Cheng YangNetwork Science Institute, Northeastern University, Boston, MA, USA. yang3kc@gmail.com.ORCID 0000-0003-4627-9273
Pranav GoelNetwork Science Institute, Northeastern University, Boston, MA, USA.ORCID 0000-0003-1037-2687
Alexi Quintana-MathéNetwork Science Institute, Northeastern University, Boston, MA, USA.
Luke HorganNetwork Science Institute, Northeastern University, Boston, MA, USA.
Stefan D McCabeNetwork Science Institute, Northeastern University, Boston, MA, USA.
Nir GrinbergDepartment of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.ORCID 0000-0002-1277-894X
Kenneth JosephComputer Science and Engineering Department, University at Buffalo, Buffalo, NY, USA.
David LazerNetwork Science Institute, Northeastern University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media play a pivotal role in disseminating web content, particularly during elections, yet our understanding of the association between demographic factors and information sharing online remains limited. Here, we introduce a unique dataset, DomainDemo, linking domains shared on Twitter (X) with the demographic characteristics of associated users, including age, gender, race, political affiliation, and geolocation, from 2011 to 2022. This new resource was derived from a panel of over 1.5 million Twitter users matched against their U.S. voter registration records, facilitating a better understanding of a decade of information flows on one of the most prominent social media platforms and trends in political and public discourse among registered U.S. voters from different sociodemographic groups. By aggregating user demographic information onto the domains, we derive five metrics that provide critical insights into over 129,000 websites. In particular, the localness and partisan audience metrics quantify the domains' geographical reach and ideological orientation, respectively. These metrics show substantial agreement with existing classifications, suggesting the effectiveness and reliability of DomainDemo's approach.

Indexed as

Information DisseminationSocial MediaDemographyHumansPoliticsUnited States

Identifiers

PMID40670387
PMCPMC12267468

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.