Social media platforms like Instagram enable users to share, view, and provide feedback on images, including photographs of oneself (e.g., selfies). In a 3 × 2 between-subjects online experiment, we investigated how women evaluate and react to photographs of their peers on social media and the role that feedback might play in both objectification of others and oneself. U.S. adult young women (N = 256; M = 20.06, SD = 1.57) viewed social media images of sexualized peers, non-sexualized peers, or landscapes (control). Then, they provided feedback on the images via social media hashtags (#) or not (tagging vs. no tagging). Results revealed that participants who viewed sexualized peers demonstrated the highest levels of state self-objectification and were more likely to dehumanize the women in the photos. Hashtags generated by participants indicated that those who viewed sexualized peers engaged in greater appearance-related objectification, specifically related to body parts, and sexual objectification than those who viewed non-sexualized peers. In addition, generating hashtags that specifically focused on body parts heightened viewers' state self-objectification. These findings illustrate the complexities of social media content production and consumption, particularly for young women.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.bodyim.2024.101683 | DOI Listing |
JMIR Form Res
January 2025
Private Practice, Ballito, South Africa.
Background: Barriers to mental health assessment and intervention have been well documented within South Africa, in both urban and rural settings. Internationally, evidence has emerged for the effectiveness of technology and, specifically, app-based mental health tools and interventions to help overcome some of these barriers. However, research on digital interventions specific to the South African context and mental health is limited.
View Article and Find Full Text PDFJMIR Infodemiology
January 2025
Salzburg University of Applied Sciences, Puch/Salzburg, Austria.
Background: The novel coronavirus disease (COVID-19) sparked significant health concerns worldwide, prompting policy makers and health care experts to implement nonpharmaceutical public health interventions, such as stay-at-home orders and mask mandates, to slow the spread of the virus. While these interventions proved essential in controlling transmission, they also caused substantial economic and societal costs and should therefore be used strategically, particularly when disease activity is on the rise. In this context, geosocial media posts (posts with an explicit georeference) have been shown to provide a promising tool for anticipating moments of potential health care crises.
View Article and Find Full Text PDFJMIR Med Educ
January 2025
College of Medicine, Alfaisal University, Takhasussi street, Riyadh, 11533, Saudi Arabia, 966 559441589.
Background: There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.
Objective: The primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.
PLoS One
January 2025
Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic.
Social networks are a battlefield for political propaganda. Protected by the anonymity of the internet, political actors use computational propaganda to influence the masses. Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology.
View Article and Find Full Text PDFPLoS One
January 2025
Peking University Health Science Center, Macao Polytechnic University Nursing Academy, Macao Polytechnic University, Macao, China.
Objective: The current investigation sought to elucidate the prevalence and contributing factors of sedentary behavior among pregnant women in Macao, a densely populated region characterized by a distinctive fusion of Eastern and Western cultures and a thriving global economy.
Methods: Through a cross-sectional study design, a total of 306 expectant mothers were recruited via various social media platforms and completed a sociodemographic questionnaire alongside the Chinese version of the Pregnancy Physical Activity Questionnaire.
Results: The findings revealed that sedentary activities accounted for a relatively small proportion (7.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!