Nonverbal communication in selfies posted on Instagram: Another look at the effect of gender on vertical camera angle

Do selfies make women look slimmer? The effect of viewing angle on aesthetic and weight judgments of women's bodies

Taking and posting selfies is a popular activity, with some individuals taking and sharing multiple selfies each day. The influence of the selfie angle, as opposed to more traditional photo angles such as the allocentric images we see in print media, on our aesthetic judgements of images of bodies has not been explored. This study compared the attractiveness and weight judgements that participants made of images of the same bodies taken from different visual angles over a series of four experiments (total N = 272). We considered how these judgements may relate to disordered eating thoughts and behaviours. Selfies were judged to be slimmer than images from other perspectives, and egocentric images were judged to be the least attractive. The way participants rated bodies seen from different perspectives was related to their own disordered eating thoughts and behaviours. These results contribute to our understanding of how we perceive the images we see on social media and how these might be related to how we feel about our own and other people's bodies.

Hey, let's take a selfie: insights of selfie defamiliarisation in the classroom

Purpose

Selfie is a popular self-expression platform to visually communicate and represent individual thoughts, beliefs, and creativity. However, not much has been investigated about selifie's pedagogical impact when used as an educational tool. Therefore, the authors seek to explore students' perceptions, emotions, and behaviour of using selfies for a classroom activity.

Design/methodology/approach

A triangulated qualitative approach using thematic, sentiment, and selfie visual analysis was used to investigate selfie perception, behaviour and creativity on 203 undergraduates. Sentiment analyses (SAs) were conducted using Azure Machine Learning and International Business Machines (IBM) Tone Analyzer (TA) to validate the thematic analysis outcomes, whilst the visual analysis reflected cues of behaviour and creativity portrayed.

Findings

Respondents indicated positive experiences and reflected selfies as an engaging, effortless, and practical activity that improves classroom dynamics. Emotions such as joy with analytical and confident tones were observed in their responses, further validating these outcomes. Subsequently, the visual cue analysis indicated overall positive emotions reflecting openness towards the experience, yet also reflected gender-based clique tendency with modest use of popular selfie gestures such as the “peace sign” and “chin shelf”. Furthermore, respondents also preferred to mainly manipulate text colours, frames, and colour blocks as a form of creative output.

Originality/value

The study's findings contribute to the limited studies of using selfies for teaching and learning by offering insights using thematic analysis, SA and visual cue analysis to reflect perception, emotions, and behaviour.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0608/

Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders

Background and Objectives: Prior research has successfully identified linguistic and behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care for individuals with SSD. Given the popularity of image-based platforms, such as Instagram, investigating user generated image data could further strengthen associations between social media activity and behavioral health. Methods: We collected 11,947 Instagram posts across 68 participants (mean age = 23.6; 59% male) with schizophrenia spectrum disorders (SSD; n = 34) and healthy volunteers (HV; n = 34). We extracted image features including color composition, aspect ratio, and number of faces depicted. Additionally, we considered social connections and behavioral features. We explored differences in usage patterns between SSD and HV participants. Results: Individuals with SSD posted images with lower saturation (p = 0.033) and lower colorfulness (p = 0.005) compared to HVs, as well as images showing fewer faces on average (SSD = 1.5, HV = 2.4, p < 0.001). Further, individuals with SSD demonstrated a lower ratio of followers to following compared to HV participants (p = 0.025). Conclusion: Differences in uploaded images and user activity on Instagram were identified in individuals with SSD. These differences highlight potential digital biomarkers of SSD from Instagram data.