Introduction: Autistic individuals, parents, organizations, and healthcare systems worldwide are actively sharing content aimed at increasing awareness about autism. This study aims at analyzing the type of contents presented in TikTok and YouTube Shorts videos under the hashtag #actuallyautistic and their potential to increase autism awareness.
Methods: A sample of 60 videos were downloaded and analyzed (n=30 from TikTok and n=30 from YouTube Shorts). Video contents were analyzed using both thematic analysis and the AFINN sentiment analysis tool. The understandability and actionability of the videos were assessed with The Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT A/V).
Results: The contents of these videos covered five main themes: Stigmatization; Sensory difficulties; Masking; Stimming; and Communication difficulties. No statistically significant differences were found on sentiment expressed on videos from both channels. TikTok videos received significantly more views, comments, and likes than videos on YouTube Shorts. The PEMAT A/V tool showed that there is a high level of understandability, but little reference to actionability.
Discussion: Autistic people videos content spread valid and reliable information in hopes of normalizing difficulties and provide hope and comfort to others in similar situations.
Conclusions: Social media videos posted by autistic individuals provide accurate portrayals about autism but lack information on actionability. These shared personal stories can help increase public literacy about autism, dispel autism stigmas and emphasize individuality.
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http://dx.doi.org/10.3233/SHTI240802 | DOI Listing |
Cureus
November 2024
Otolaryngology, Jacobs School of Medicine and Biomedical Sciences, Buffalo, USA.
Objective "Lip tie" is a term that has become commonly used to refer to a prominent or short maxillary frenulum and is controversially associated with difficulties in breastfeeding. There has been a rise in the popularity of lip tie division without clear expert agreement on the indications and benefits of treatment. Our study aims to determine the quality of information on YouTube about lip ties.
View Article and Find Full Text PDFInteract J Med Res
December 2024
School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Background: Health and health behaviors in midlife are important determinants of healthy aging. There is evidence of unmet needs for health-promoting information for women from culturally and linguistically diverse backgrounds and women with low literacy.
Objective: This study aimed to (1) develop accessible short, animated videos viewable and downloadable from YouTube aimed at promoting positive health behaviors in women in midlife and (2) evaluate their accessibility, acceptability, understanding, and usability and whether this was influenced by the level of education or socioeconomic disadvantage.
JMIR Med Educ
October 2024
Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
JMIR Med Educ
October 2024
Department of Anesthesiology, Critical Care and Perioperative Medicine, CHU Rouen, 1 rue de Germont, Rouen, 76031, France, 33 232888990.
Background: Social media (SoMe) have taken a major place in the medical field, and younger generations are increasingly using them as their primary source to find information.
Objective: This study aimed to describe the use of SoMe for medical education among French medical students and assess the prevalence of smartphone addiction in this population.
Methods: A cross-sectional web-based survey was conducted among French medical students (second to sixth year of study).
IEEE Trans Neural Netw Learn Syst
October 2024
Video object segmentation (VOS) has witnessed notable progress due to the establishment of video training datasets and the introduction of diverse, innovative network architectures. However, video mask annotation is a highly intricate and labor-intensive task, as meticulous frame-by-frame comparisons are needed to ascertain the positions and identities of targets in the subsequent frames. Current VOS benchmarks often annotate only a few instances in each video to save costs, which, however, hinders the model's understanding of the complete context of the video scenes.
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