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Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours
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 beh...
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Published in: | Public health nutrition 2021-04, Vol.24 (6), p.1193-1209 |
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description | 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.
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.
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.
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. |
doi_str_mv | 10.1017/S1368980020005248 |
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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.
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.
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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.
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.
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.</description><subject>Alcohol Drinking</subject><subject>Content analysis</subject><subject>Data analysis</subject><subject>Diet</subject><subject>Digital media</subject><subject>Eating</subject><subject>Eating behavior</subject><subject>Ethics</subject><subject>Feeding Behavior</subject><subject>Humans</subject><subject>Mathematical analysis</subject><subject>Monitoring and Surveillance</subject><subject>Nutrition</subject><subject>Nutrition research</subject><subject>Public domain</subject><subject>Research Design</subject><subject>Research methodology</subject><subject>Review</subject><subject>Reviews</subject><subject>Sentiment analysis</subject><subject>Social Media</subject><subject>Social networks</subject><subject>Trends</subject><subject>Triangulation</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1UctqHDEQFMEhdpx8gC9G4Isvk-gxeowvwZi8wJCDk_PQI2l2ZWZHa2lmjf8-PfHGeREQSKirqqu6CTnh7A1n3Ly94VLbxjImGGNK1PYZOeK1UZUwwhzgG8vVUj8kL0u5XUDGmBfkUEqppDLyiEw3yUUY6Cb4CBRGGB6m6AqNIx3nKccpppHmUAJkt76gQDNso8efXQz3NPXUzTmHcaJzgVVYaHHchTLFFfygIsLHMEF-oF1Ywy6mOZdX5HkPQwmv9_cx-fbh_derT9X1l4-fry6vK1cbMVW9bBzrGl1zi8d4r3vnJVe2Y7WG3jhtrQfBetEEY2umhZbCg1S-6XWtQB6Td4-627nDgA59ZhjabY4bNNQmiO2flTGu21XatTjdRmlhUeF8r5DT3Yy52k0sLgwDjCHNpRW1kUtjKxF69hf0FrPiQBGlmLVNg_YQxR9RLqdScuif3HC2tDXtP0tFzunvMZ4YP7eIALkXhU2Xo1-FX73_L_sdRKetdw</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Stirling, Emma</creator><creator>Willcox, Jane</creator><creator>Ong, Kok-Leong</creator><creator>Forsyth, Adrienne</creator><general>Cambridge University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7T2</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6306-5333</orcidid><orcidid>https://orcid.org/0000-0002-1702-838X</orcidid></search><sort><creationdate>20210401</creationdate><title>Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours</title><author>Stirling, Emma ; 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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.
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.
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.
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.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>33353573</pmid><doi>10.1017/S1368980020005248</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-6306-5333</orcidid><orcidid>https://orcid.org/0000-0002-1702-838X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alcohol Drinking Content analysis Data analysis Diet Digital media Eating Eating behavior Ethics Feeding Behavior Humans Mathematical analysis Monitoring and Surveillance Nutrition Nutrition research Public domain Research Design Research methodology Review Reviews Sentiment analysis Social Media Social networks Trends Triangulation |
title | Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours |
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