Social media analytics in nutrition research
A rapid review of current usage in investigation of dietary behaviours
Bibliographic Data
| ID | 15091643 |
|---|---|
| Authors | Emma Stirling (0000-0002-1702-838X, La Trobe University, corresponding author), Jane Willcox (0000-0002-6306-5333, La Trobe University), Kok-Leong Ong, Wee Keong Ng (0000-0001-7106-2768, La Trobe University), Adrienne Forsyth (0000-0002-1692-2638, La Trobe University) |
| Year | 2021 |
| Volume | 24 |
| Issue | 6 |
| Pages | 1193-1209 |
| Publication date | 2021-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Health Nutrition (JOURNAL) |
| Journal identifiers | ISSN: 1368-9800 • E-ISSN: 1475-2727 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1368980020005248 |
| PMID | 33353573 |
| OpenAlex | W3118072203 |
| Language | EN |
| References cited | 71 |
Objective: Social 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. Design: The 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. Results: The 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. Conclusions: SMA 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
Analytics · Data science · Dieting · Environmental health · Obesity · Population · Population health · SMA · Social media · Social media analytics · World Wide Web · Applied Psychology · Computer Science · Medicine · Mental Health via Writing · Nutrition, Genetics, and Disease · Psychology · Social Media in Health Education
Triangulation in research, with examples
“Fitspiration” on Social Media
Social media analytics – Challenges in topic discovery, data collection, and data preparation
Assessing Canadians Health Activity and Nutritional Habits Through Social Media
Characters of Intoxication
Twitter as a Tool for Health Research
Implementation of Text-Messaging and Social Media Strategies in a Multilevel Childhood Obesity Prevention Intervention
Good Morning Fitfam’
Psychological effects of belonging to a Facebook weight management group in overweight and obese adults
Social media analytics
A Social Networks Approach to Viral Advertising
Using Twitter for Data Collection With Health-Care Consumers
| Highly cited | No |
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