Evidence map›Paper›PMID 42851479›Full record

ArticleCommunications health2026

Structural fragility in digital public health communication.

Miao Feng, Zizi Papacharissi, Chandler C Carter, Mateusz Borowiecki, Simon Page, Ganna Kostygina, Natalie Wang, Yoonsang Kim, Brandon Sepulvado, Sherry L Emery

Abstract read
In one paragraph

Article in Communications health, 2026. 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

10 authors.

Miao FengNORC at the University of Chicago, Chicago, IL USA.
Zizi PapacharissiDepartments of Communication and Political Science, University of Illinois Chicago, Chicago, IL USA.
Chandler C CarterNORC at the University of Chicago, Chicago, IL USA.
Mateusz BorowieckiNORC at the University of Chicago, Chicago, IL USA.
Simon PageNORC at the University of Chicago, Chicago, IL USA.
Ganna KostyginaNORC at the University of Chicago, Chicago, IL USA.
Natalie WangNORC at the University of Chicago, Chicago, IL USA.
Yoonsang KimNORC at the University of Chicago, Chicago, IL USA.
Brandon SepulvadoNORC at the University of Chicago, Chicago, IL USA.
Sherry L EmeryNORC at the University of Chicago, Chicago, IL USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital public health campaigns often report robust reach and engagement metrics, yet these metrics obscure deeper structural vulnerabilities. We define structural fragility as the declining capacity of actors to maintain network visibility in competitive digital communication environments, and assess it in Twitter/X discourse on U.S. e-cigarette prevention (2014-2023). Methods: Accounts were classified into five categories (Health, Commercial, Vape Community, Organic, Other). Longitudinal network analysis tracked three dimensions of structural fragility: positional (amplification and centrality), community (fragmentation and homophily), and core (k-core presence). Annual directed retweet networks were constructed, and modularity, in-degree, PageRank, eigenvector centrality, and k-core composition were computed. Regression models were adjusted for the number of participating accounts. Results: Here we show the network contracted from 36,204 accounts in 2014 to 800 in 2022, a 97.8% reduction. It fragmented into increasingly homophilous clusters (modularity 0.16 to 0.81; within-category retweeting 6.7% to 42.6%). Health accounts fell from 59.1% of the deepest k-core in 2014 to 3.8% in 2015, as Vape Community accounts rose to 78.8%. Per-capita amplification declined 95.7%, and Health PageRank share fell from 0.41 to 0.34, with amplification concentrated among a few accounts (eigenvector Gini ≥ 0.93). These declines persisted after adjustment for account numbers. Conclusions: Health actors remained active while losing structural position, a "bunker effect" of broadcasting without amplification. These findings challenge exposure-based evaluation models. Core embedding, within-category concentration, and PageRank share are computable from public network data and offer practical measures for campaign evaluation and platform transparency.

Indexed as

Complex networksCultural and media studiesHealth careHealth humanitiesMedical humanitiesPolitics and international relations

Identifiers

PMID42851479
PMCPMC13645615

What OpenQuestion holds

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Registered trials

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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.