1,720,983 research outputs found
#Eating disorders and instagram: What emotions do you express?
Instagram is an image-based social media platform for mobile devices that promotes a new form of communication and self-expression based on images and photos. Although this image-based communication has become a wide form of online self-presentation, it is still less investigated if compared to social media text content analysis of written posts. Crucially, most Instagram images that circulate on a daily base show thin, muscular, and unrealistic body ideal, creating a breeding ground for disordered eating. Far less investigated is the emotional profile of pictures with hashtags related to eating disorders. The aim of the study was to examine the emotional expression of hashtags related to eating disorders of images posted by users on Instagram. Two hundred and fifty Instagram photos of females were considered. The hashtags were selected accordingly to a web-ranking on the most popular hashtags for eating disorders on Instagram: #anorexia, #thinispiration, #eatingdisorder, #fitinspiration and #body. The emotions expressed in each photo were measured using the Emotion API from Microsoft Azure Cognitive Service. The results showed that happiness intensity was significantly higher in images with #eatingdisorder and #fitispiration compared to #body, and higher levels of neutral emotion were found in images tagged with #body and #thinispiration. This exploratory study was one of the few studies focusing on discrete emotional expression of eating disorder photos using artificial intelligence technology
Idealization on Dating Apps: Seeing Fewer Photos of the Potential Partner Leads to Expectancy Violation and Lower Attraction
Online dating apps facilitate the initiation of romantic relationships by helping users connect with new partners and meet them in subsequent face-to-face appointments. However, switching from online to face-to-face dating can induce expectancy violation and diminish attraction. Drawing on expectancy violation theory, we hypothesized that seeing just a few photos of the potential partner on their dating app profile can lead to these negative effects. Users who cannot rely on many photos for forming their impression are expected to idealize the person and show, in the moving from online to offline dating, lower levels of attraction, lower pleasantness of the person’s characteristics, and worse expectancies about their personality. To test this hypothesis, 57 single young adults were randomly assigned to one of two experimental conditions: half of them viewed a dating app profile with 18 photos of the potential partner; the other half viewed the same profile but with just 4 photos. Participants then filled out a questionnaire assessing their impressions (i.e., attraction, pleasantness, and expected personality). Later, participants watched a video interview of the person and completed a new questionnaire assessing their updated impressions. Results supported our hypothesis. While participants who had seen more photos maintained their impression as positive and stable, participants who had seen fewer photos showed, after the video, lower physical attraction, lower pleasantness of the person’s characteristics (e.g., gestures), and worse expected personality traits. These results have important implications for the study of romantic attraction and online behaviors
Inside and Outside the Self. Virtual Reality and Repertory Grids in the Spatial Analysis of Anorexic Patients’ Meanings
How can adolescents benefit from the use of social networks? The igeneration on instagram
In the last few years, Instagram has been a topic of much contention, as it has been shown to be associated with both risks and benefits for young users. This study explores the influence of the use of Instagram on adolescents’ constructions of self and interpersonal experience. Forty Italian adolescents aged between 11 and 16 years were interviewed and completed repertory grids. The results showed that the adolescents’ self-construction and distance from others were mostly influenced by receiving, or not receiving, positive feedback, rather than by using Instagram itself. Specifically, there was an increase in self-acceptance and social desirability after receiving a “like” and an increase in social isolation after receiving no “likes”. The regression model also showed a decrease in self-acceptance on Instagram in the case of female adolescents, and in participants who edited photos. These findings are useful for understanding the constant need for approval adolescents require today and could be used as a guiding tool for future studies and intervention policies. The present study offers an innovative methodology that refers to the relevant dimensions of adolescents’ self-construction rather than investigating the more general relationship between personality traits and social networks’ use
Self construing during body psychotherapy for chronic depression: a secondary analysis of RCT trial data
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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