Table 4.

Categorisation of included studies by nutrition topics of relevance to public health nutrition in present rapid review

Nutrition topic	Articles, No.	%	Research focus
General population health dietary behaviours	18	53	Characterised food behaviour social media data across a national or local population level with some studies comparing or validating results with government census data, existing health or nutrition data, or with the local food environment(47–64).
Alcohol behaviours	9	26	Characterised social media data on alcohol to explore drinking-related behaviours related to intoxication, binge-drinking and social norms(65–72) and examined how to predict which content on alcohol could go viral (be commonly shared by social media users)(73).
Dieting behaviours	3	9	Characterised social media data on dieting behaviours (including food, body image and dieting messages) to explore temporal trends related to holiday periods(75), harmful messages(76) and gender differences(77).
Eating out of the home behaviours	3	9	Characterised social media data on restaurant check-ins to assess if content analysis can predict eating out preferences(78), and on restaurant reviews to assess customer preferences including healthy menu options(79)and trends in types of meals(80).
Dietary supplement behaviours	1	3	Collected Amazon.com user-generated reviews of nutritional supplements and designed machine learning system to score products on adverse reaction potential(81).