Why people join pro-Ana online communities? A psychological textual analysis of eating disorder blog posts. (November 2021)
- Record Type:
- Journal Article
- Title:
- Why people join pro-Ana online communities? A psychological textual analysis of eating disorder blog posts. (November 2021)
- Main Title:
- Why people join pro-Ana online communities? A psychological textual analysis of eating disorder blog posts
- Authors:
- Lai, Carlo
Pellicano, Gaia Romana
Iuliano, Sara
Ciacchella, Chiara
Sambucini, Daniela
Gennaro, Alessandro
Salvatore, Sergio - Abstract:
- Abstract: The study aimed to examine the different contents of posts published in an online community for eating disorders among four groups (Pro-Ana, Anorexia, Bulimia, and Binge Eating Disorder). The hypothesis was that Pro-Ana group members would have a greater propensity to deny the negative aspects of their eating disorder and a greater social adherence to their own blog community compared to the other groups. 1791 posts, collected from December 2018 to March 2019, were analyzed using quantitative analyses of the text through T-LAB software (version T-Lab Plus 2020). The cluster analysis of the text showed that Pro-Ana group appears to be more represented by "social sharing" cluster compared to the other groups, exhibiting a greater tendency to exchange social support about their eating behaviors. Factorial space analysis reported that Pro-Ana people tend to be less capable to provide realistic representation of their eating disorder than the other groups. Finally, Pro-Ana group members showed a greater social adherence in terms of satisfaction ratings (ratio "likes"/"views" to each post) compared to the other groups. Highlights: Quantitative analysis of text of online posts in eating disorders community. Pro-Ana group is more represented by the cluster of social "sharing" than other eating disorder groups. Pro-Ana people tend to be more rigid on their beliefs and to deny negative aspects of the disorder. Pro-Ana group showed a greater social adherence in terms ofAbstract: The study aimed to examine the different contents of posts published in an online community for eating disorders among four groups (Pro-Ana, Anorexia, Bulimia, and Binge Eating Disorder). The hypothesis was that Pro-Ana group members would have a greater propensity to deny the negative aspects of their eating disorder and a greater social adherence to their own blog community compared to the other groups. 1791 posts, collected from December 2018 to March 2019, were analyzed using quantitative analyses of the text through T-LAB software (version T-Lab Plus 2020). The cluster analysis of the text showed that Pro-Ana group appears to be more represented by "social sharing" cluster compared to the other groups, exhibiting a greater tendency to exchange social support about their eating behaviors. Factorial space analysis reported that Pro-Ana people tend to be less capable to provide realistic representation of their eating disorder than the other groups. Finally, Pro-Ana group members showed a greater social adherence in terms of satisfaction ratings (ratio "likes"/"views" to each post) compared to the other groups. Highlights: Quantitative analysis of text of online posts in eating disorders community. Pro-Ana group is more represented by the cluster of social "sharing" than other eating disorder groups. Pro-Ana people tend to be more rigid on their beliefs and to deny negative aspects of the disorder. Pro-Ana group showed a greater social adherence in terms of "likes" per "views" to their posts compared to the other groups. … (more)
- Is Part Of:
- Computers in human behavior. Volume 124(2021)
- Journal:
- Computers in human behavior
- Issue:
- Volume 124(2021)
- Issue Display:
- Volume 124, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 124
- Issue:
- 2021
- Issue Sort Value:
- 2021-0124-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- Online communities -- Anorexia nervosa -- Pro-anorexia -- Textual analysis -- Bulimia -- Binge eating disorder
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2021.106922 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17799.xml