ArticleMaternal & child nutrition2020
Breastfeeding promotion on Twitter: A social network and content analysis approach.
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.
What it found
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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.
The trial behind it
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Who cites it
11 citing papers in PubMed, 37 citations in OpenAlex.
- Deciphering Influence on Social Media: A Comparative Analysis of Influential Account Detection Metrics in the Context of Tobacco Promotion.Social media + society · 2024Article
- Twitter discussions on breastfeeding during the COVID-19 pandemic.International breastfeeding journal · 2023Article
- Becoming breastfeeding friendly in Wales: Recommendations for scaling up breastfeeding support.Maternal & child nutrition · 2023Article
- The COVID-19 Infodemic Through Facebook: Comparison of Content and the Accuracy of Breastfeeding Information.Cureus · 2022Article
- Examining supports and barriers to breastfeeding through a socio-ecological lens: a qualitative study.International breastfeeding journal · 2021Article
- Breastfeeding Communication Strategies, Challenges and Opportunities in the Twitter-Verse: Perspectives of Influencers and Social Network Analysis.International journal of environmental research and public health · 2021Article
- Child feeding practices and concerns: Thematic content analysis of Thai virtual communities.Maternal & child nutrition · 2021Article
- Real-time Twitter interactions during World Breastfeeding Week: A case study and social network analysis.PloS one · 2021Article
- Analysing Credibility of UK Social Media Influencers' Weight-Management Blogs: A Pilot Study.International journal of environmental research and public health · 2020Article
- Breastfeeding promotion on Twitter: A social network and content analysis approach.Maternal & child nutrition · 2020Article
- Diffusing science through social networks: The case of breastfeeding communication on Twitter.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.