Dieting 2.0!: Moderating effects of Instagrammers' body image and Instafame on other Instagrammers’ dieting intention

Daily social comparisons among women in midlife with elevated risk for cardiovascular disease: A within-person test of the identification/contrast model

Women age 40-60 are disproportionately affected by health problems that increase their risk for cardiovascular disease (CVD; e.g. hypertension). Social comparisons (i.e. self-evaluations relative to others) are known to influence health in this and other groups, but their nature and consequences in daily life are poorly understood. We conducted an ecological momentary assessment study over 10 days (5x/day) with 75 women ages 40-60 who had ≥1 CVD risk conditions (MAge = 51.6 years, MBMI = 34.0 kg/m2). Using a mix of frequentist and Bayesian analytic approaches, we examined characteristics of women's naturally occurring comparisons and tested predictions from the Identification/Contrast Model within-person (e.g. identifying with an upward target results in positive affect, whereas contrasting results in negative affect). Comparisons occurred at 21% of moments, with considerable within-person variability in response. In line with predictions from the Identification/Contrast Model, women were more likely to experience positive affect after upward identification or downward contrast and more likely to experience negative affect after upward contrast or downward identification, though observed nuances warrant additional consideration. Overall, findings support the Identification/Contrast Model to describe women's comparison experiences as they occur in daily life. Future work should determine pathways between the immediate consequences of comparisons and longer-term health outcomes.

The Impact of Consumers' Loneliness and Boredom on Purchase Intention in Live Commerce During COVID-19: Telepresence as a Mediator

This paper examines the relationship between consumer loneliness, boredom, telepresence, influencer-brand image congruence and purchase intention by investigating consumers of live commerce during the COVID-19 period. With the help of an online survey website, survey data was gathered on 550 Chinese customers who experienced live commerce shopping in China. Although previous studies have shown that consumer boredom and loneliness have an impact on purchase intention, the mechanism of influence remains unclear. As a result, additional research is needed to study the link between boredom and loneliness and customer purchase intention. Consumers' purchase intention was influenced by their feelings of loneliness and boredom. Telepresence played a mediating role in the impact of loneliness and boredom on purchase intention. Influencer-brand image congruence played a moderating role in the impact of consumers' boredom on purchase intention. The study results contribute to the research of factors impacting consumers' purchase intention. In addition, this study can help live commerce merchants better understand the impact factors of consumers' purchase intention and contribute to the development of live commerce.

#Take idealized bodies out of the picture: A scoping review of social media content aiming to protect and promote positive body image

Much evidence has highlighted detrimental effects of social media on body image, and attention has turned towards identifying content that could support and promote positive body image. This study aimed to conduct a scoping review of the emerging evidence focused on social media content that might support positive body image. A total of n = 35 studies (21 experimental) examining social media were identified along with n = 11 studies not specifically focusing on social media but with clear implications. Overall, findings suggest that images that do not portray individuals are most helpful for body image, as well as those portraying appearances diverging from appearance ideals. Our review also identifies types of social media content that have so far not been found to protect body image, and those not sufficiently evaluated. Regarding textual captions and comments, the most promising avenue involves highlighting the contrived and unrealistic nature of social media content. However, empirical data are limited and not robust. Body acceptance-related statements have so far not been found to be helpful for body image, and findings regarding the usefulness of using social marketing strategies (such as hashtags) to identify content that may be more realistic is nascent and conflicted.

Learning the Language of Social Media: A Comparison of Engagement Metrics and Social Media Strategies Used by Food and Nutrition-Related Social Media Accounts

Health promoters have been unable to reach and engage people on social media (SM) to the extent that food industry brands and lifestyle personalities have. The objective of this study was to identify the SM post strategies associated with higher engagement in nutrition and food-related posts using a retrospective content analysis. The six most engaging posts from both Facebook and Instagram’s 10 most successful nutrition and food-related accounts were analysed across four fields. Subjective and objective post strategies were coded on 736 posts, and associations with engagement were explored using the Least Absolute Shrinkage and Selection Operator (LASSO). Lifestyle personalities recorded the highest absolute engagement, while health promoters recorded the highest engagement relative to follower count. Strategies associated with higher Facebook engagement included using hashtags and prompting engagement through announcements, while on Instagram, higher engagement was associated with higher caption counts, providing health information links, prompting engagement through strategies that require an action, and using humorous strategies. Strategies associated with lower Instagram engagement included reposted content, general encouragement to eat strategies, encouragement to exercise strategies, not inducing any emotion/hedonic sensations, and providing a negative tone. Health promoters should adapt SM posts to the different SM platforms and utilise strategies associated with higher engagement to engage with their audience on SM.

Artificial neural networks for predicting social comparison effects among female Instagram users

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.