ReviewPublic health nutrition2021
Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours.
Review in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
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.
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Who cites it
6 citing papers in PubMed.
- Young Adults' Interactions With Food and Nutrition Content on Social Media and Implications for Intervention Design: Semistructured Interview Study.Journal of medical Internet research · 2026Article
- Knowledge user involvement is still uncommon in published rapid reviews-a meta-research cross-sectional study.Research synthesis methods · 2025Article
- Social Listening as a Tool to Understand Nutrition-Related Information Needs: A Case Study in Inflammatory Bowel Disease.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Article
- AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.Nutrients · 2025Article
- Evaluating large language models for health-related text classification tasks with public social media data.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Ifood: Development and usability study of a social media-based applet for dietary monitoring.Digital healthArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveSocial media analytics (SMA) has a track record in business research. The utilisation in nutrition research is unknown, despite social media being populated with real-time eating behaviours. This rapid review aimed to explore the use of SMA in nutrition research with the investigation of dietary behaviours.
designThe review was conducted according to rapid review guidelines by WHO and the National Collaborating Centre for Methods and Tools. Five databases of peer-reviewed, English language studies were searched using the keywords 'social media' in combination with 'data analytics' and 'food' or 'nutrition' and screened for those with general population health using SMA on public domain, social media data between 2014 and 2020.
resultsThe review identified 34 studies involving SMA in the investigation of dietary behaviours. Nutrition topics included population nutrition health investigations, alcohol consumption, dieting and eating out of the home behaviours. All studies involved content analysis with evidence of surveillance and engagement. Twitter was predominant with data sets in tens of millions. SMA tools were observed in data discovery, collection and preparation, but less so in data analysis. Approximately, a third of the studies involved interdisciplinary collaborations with health representation and only two studies involved nutrition disciplines. Less than a quarter of studies obtained formal human ethics approval.
conclusionsSMA in nutrition research with the investigation of dietary behaviours is emerging, nevertheless, if consideration is taken with technological capabilities and ethical integrity, the future shows promise at a broad population census level and as a scoping tool or complementary, triangulation instrument.
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Registered trials
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