ISSUE ADDRESSED: Although government promoted public health, social media and media campaigns have communicated nutrition information, the Australian population remains chronic under-consumers of fruit and vegetables and overconsumers of ultra-processed foods. This scoping review aimed to determine how social media influencers (SMI) communicate nutrition information and the factors that influence the popularity of messages. Identified factors could inform how governments may utilise social media to impact positively on food choices. METHODS: Nine databases were searched in the past 5 years (2016-2021). After relevant sources were identified, entire texts of the grey literature and the "Results" sections of the academic literature were coded. Using Microsoft Word, each key feature of the relevant text was highlighted, and the relevant code was recorded. Inductive coding was utilised where codes were created based on the text itself. These codes were then sorted iteratively into relevant themes and subthemes. RESULTS: Eleven studies were included. From these sources, five themes were identified. These were, (i) promoting dietary change, (ii) certain modes/styles of content delivery, (iii) an attractive individual, (iv) language features and (v) appearing connected to the audience. CONCLUSION: SMI are selective in their content and communication techniques to ensure their nutrition messages are popular with social media users. These methods exhibited by SMI could inform strategies to build trust in government messages about food and nutrition.
ISSUE ADDRESSED: Although government promoted public health, social media and media campaigns have communicated nutrition information, the Australian population remains chronic under-consumers of fruit and vegetables and overconsumers of ultra-processed foods. This scoping review aimed to determine how social media influencers (SMI) communicate nutrition information and the factors that influence the popularity of messages. Identified factors could inform how governments may utilise social media to impact positively on food choices. METHODS: Nine databases were searched in the past 5 years (2016-2021). After relevant sources were identified, entire texts of the grey literature and the "Results" sections of the academic literature were coded. Using Microsoft Word, each key feature of the relevant text was highlighted, and the relevant code was recorded. Inductive coding was utilised where codes were created based on the text itself. These codes were then sorted iteratively into relevant themes and subthemes. RESULTS: Eleven studies were included. From these sources, five themes were identified. These were, (i) promoting dietary change, (ii) certain modes/styles of content delivery, (iii) an attractive individual, (iv) language features and (v) appearing connected to the audience. CONCLUSION: SMI are selective in their content and communication techniques to ensure their nutrition messages are popular with social media users. These methods exhibited by SMI could inform strategies to build trust in government messages about food and nutrition.