#Orthorexia on Instagram: a descriptive study exploring the online conversation and community using the Netlytic software.

Orthorexia nervosa (ON) is a relatively new phenomenon. The purpose of this study was to investigate (1) the #orthorexia conversation on Instagram (using the Netlytic software), and (2) among a random subsample of images (N = 245), analyse the types of images (N = 145) and author biographies (N = 68). Among the 4,533 downloaded records, there were 48,780 unique words associated with the posts, with the most commonly used being love (n = 535) and #edrecovery (n = 425). Among the images, the majority contained food (68%) and people (13%). Among the unique authors, the majority were female (84%) and mentioned ED (eating disorder) recovery and being food/fitness focused. The ON community on Instagram is relatively small and the positive conversation may suggest a supportive community that focuses on recovery and adopting healthier eating behaviours.Level of evidence Level V, descriptive study.

#selfharn on Instagram: understanding online communities surrounding non-suicidal self-injury through conversations and common properties among authors.

OBJECTIVES: #selfharm has been blocked by Instagram, but manoeuvring hashtags (e.g. #selfharn) are beginning to appear in order for secret non-suicidal self-injury (NSSI) communities to communicate. The purpose of this study was to (a) determine the nature of the #selfharn conversation on Instagram, (b) analyze common properties of the visual content (i.e. images and videos; n = 93) tagged with #selfharn, and (c) discover what kind of environment the authors (n = 50) of #selfharn were creating. METHODS: A multi-method approach was utilized for this study. Netlytic was used to generate a text and content analysis to examine the authors' captions and comments (n = 8772) associated with #selfharn (collected over a seven-day period). RESULTS: After removing #selfharn from the dataset, the text analysis revealed that #depression (n = 3081) and #suicide (n = 2270) were the most commonly used terms associated with #selfharn. Overall, 52% (n = 4386) of the popular words/phrases related with #selfharn posts were categorized as 'bad feelings'. Through manual coding, it was determined that the majority of #selfharn visual content (n = 92; 99%) did not generate an advisory warning but did contain a wound (n = 70; 75%). The #selfharn author analysis suggests that most were women (n = 18; 36%) with a dark-coloured profile aesthetic (n = 37; 74%) determined by an overwhelming amount of grey, black, blue, red, or purple colours. CONCLUSION: According to the text and content analyses, #selfharn on Instagram may be contributing negatively to an online community of mental-health issues. More resources should be provided by Instagram to those who are involved in the NSSI Instagram community.

#fitspo on Instagram: A mixed-methods approach using Netlytic and photo analysis, uncovering the online discussion and author/image characteristics.

The #fitspo 'tag' is a recent trend on Instagram, which is used on posts to motivate others towards a healthy lifestyle through exercise/eating habits. This study used a mixed-methods approach consisting of text and network analysis via the Netlytic program ( N = 10,000 #fitspo posts), and content analysis of #fitspo images ( N = 122) was used to examine author and image characteristics. Results suggest that #fitspo posts may motivate through appearance-mediated themes, as the largest content categories (based on the associated text) were 'feeling good' and 'appearance'. Furthermore, #fitspo posts may create peer influence/support as personal (opposed to non-personal) accounts were associated with higher popularity of images (i.e. number of likes/followers). Finally, most images contained posed individuals with some degree of objectification.