A Review of the Body Image Dissatisfaction Detection from Social Media

Body image dissatisfaction is an issue that has been discussed in contemporary society for years. With the advancement of technology, social media plays a key role in impacting an individual’s body image, resulting in a change in behaviour and mental health. This is due to the rise of influencers and celebrities on social media defining the ideal body image, which had widespread in the platform, leading to unrealistic societal standards and causing body image dissatisfaction among individuals. This paper aimed to gather the methodologies, types of analysis, and research gaps from previous research works regarding body image dissatisfaction on social media. Notably, questionnaires, research methods, and machine learning techniques were utilised to identify the patterns of body image dissatisfaction in the past. It is also found that the media had created a societal beauty standard as a norm, which impacted many individuals. Education level is also highlighted as they may not be easily influenced by social media. With that, various research gaps were identified for further research, including a wider age range, muscular/athletic internalisations of females, and the association of engagement behaviours on social media with body image dissatisfaction. The lack of machine learning techniques stated in past studies also highlighted which could be useful for future research.