Evidence map›Paper›PMID 38779113›Full record

ArticlePNAS nexus2024

Blocking of counter-partisan accounts drives political assortment on Twitter.

Cameron Martel, Mohsen Mosleh, Qi Yang, Tauhid Zaman, David G Rand

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Tendencies toward triadic closure: Field experimental evidence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. 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

5 authors.

Cameron MartelSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0003-3181-4309
Mohsen MoslehSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0001-7313-5035
Qi YangInstitute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Tauhid ZamanYale School of Management, Yale University, New Haven, CT 06511, USA.ORCID https://orcid.org/0000-0003-4973-9343
David G RandSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0001-8975-2783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is strong political assortment of Americans on social media networks. This is typically attributed to preferential tie formation (i.e. homophily) among those with shared partisanship. Here, we demonstrate an additional factor beyond homophily driving assorted networks: preferential

Indexed as

blockinghomophilypolarizationsocial mediasocial ties

Identifiers

PMID38779113
PMCPMC11110939

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.