Evidence map›Paper›PMID 32638522›Full record

ArticleMaternal & child nutrition2020

Breastfeeding promotion on Twitter: A social network and content analysis approach.

Sara Moukarzel, Martin Rehm, Alan J Daly

Open access · goldAbstract read
In one paragraph

Article in Maternal & child nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

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  9. Analysing Credibility of UK Social Media Influencers' Weight-Management Blogs: A Pilot Study.International journal of environmental research and public health · 2020
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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

3 authors at 2 institutions in 2 countries.

Sara MoukarzelLarsson-Rosenquist Foundation Mother-Milk-Infant Center of Research Excellence, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-4440-2178
Martin RehmInstitute of Educational Consulting, University of Education Weingarten, Weingarten, Germany.
Alan J DalyDepartment of Education Studies, University of California San Diego, La Jolla, California, USA.
University of California San Diego · USUniversity of Education Weingarten · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of breastfeeding for maternal and infant health is well-established, yet complex and intertwined sociocultural barriers contribute to suboptimal breastfeeding rates in most countries. Large-scale campaigns for evidence dissemination and promotion through targeted interventions on social media may help overcome some of these barriers. To date, most breastfeeding research on social media only focuses on content analysis, and there remains limited knowledge about the social networks of online communities (who interacts with whom), influencers in the breastfeeding space and the diffusion of evidence-based knowledge. This study, grounded in social network theory, aims to better understand the breastfeeding communication landscape on Twitter including determining the presence of a breastfeeding network, communities and key influencers. Further, we characterize influencer interactions, roles and the content being shared. The study revealed an overall breastfeeding social network of 3,798 unique individuals (users) and 3,972 tweets with commonly used hashtags (e.g., #breastfeeding and #normalizebreastfeeding). Around one third of users (n = 1,324, 34%) exchanged pornographic content (PC) that sexualized breastfeeding. The non-PC network (n = 2,474 users) formed 144 unique communities, and content flowing within the network was disproportionately influenced by 59 key influencers. However, these influencers had mostly inward-oriented interaction (% composition, E-I index: 47% professionals, -0.18; 41% interested citizens, -0.67; 12% companies, -0.18), limiting opportunities for evidence-based dissemination to the lay public. Although more tweets about peer-reviewed research findings were sent compared with tweets about nonevidence-based lay recommendations, our findings suggest that it is the lay public who often communicated findings, which may be overcome through a targeted social network-based intervention.

Indexed as

Social MediaBreast FeedingCommunicationFemaleHumansInfantInfant HealthSocial Networking

Identifiers

PMID32638522
PMCPMC7507587
OpenAlexW3041697144

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.