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Artificial neural networks for predicting social comparison effects among female Instagram users.
- Source :
-
PloS one [PLoS One] 2020 Feb 25; Vol. 15 (2), pp. e0229354. Date of Electronic Publication: 2020 Feb 25 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This study first investigates the possible links between life satisfaction, self-esteem, anxiety, depression, and the intensity of Instagram use with a social comparison model. In the study, 974 women age 18-49 who were Instagram users voluntarily participated, completing a questionnaire. The results suggest associations between the analyzed psychological data and social comparison types. Then, artificial neural networks models were implemented to predict the type of such comparison (positive, negative, equal) based on the aforementioned psychological traits. The models were able to properly predict between 71% and 82% of cases. As human behavior analysis has been a subject of study in various fields of science, this paper contributes towards understanding the role of artificial intelligence methods for analyzing behavioral data in psychology.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Adolescent
Adult
Anxiety diagnosis
Anxiety epidemiology
Depression diagnosis
Depression epidemiology
Female
Humans
Middle Aged
Poland epidemiology
Surveys and Questionnaires
Young Adult
Anxiety psychology
Artificial Intelligence
Depression psychology
Self Concept
Social Behavior
Social Media statistics & numerical data
Social Networking
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 15
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 32097446
- Full Text :
- https://doi.org/10.1371/journal.pone.0229354