Social media uses amongst adolescents: motives, minority stress and eudaimonic well-being / Uso de redes sociales en adolescentes: motivación, estrés de minorías y bienestar eudaimónico

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In gen-eral, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives:This study ex-amines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M= 16.19; SD= 1.08), analysing the Scale of Motives for Using Social Net-working Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results:The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online;and that females have higher levels of well-being. Discus-sion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Dif-ferentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In general, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives: This study examines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M = 16.19; SD = 1.08), analysing the Scale of Motives for Using Social Networking Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results: The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online; and that females have higher levels of well-being. Discussion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Differentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Narcissism, perfectionism, and self-promoting behavior on social networking sites among university students in Pakistan / Narcisismo, perfeccionismo y comportamiento de autopromoción en sitios de redes sociales entre estudiantes universitarios en Pakistán

Existe un debate considerable en la literatura sobre cómo el narcisismo predice diversos comportamientos asociados con la utilidad de los sitios de redes sociales, pero los investigadores han prestado menos atención a explorar los mediadores potenciales de esta relación. Con base en la literatura existente, anticipamos que el narcisismo predice comportamientos de autopromoción en los sitios de redes sociales. El estudio actual también investigó el papel mediador del perfeccionismo multidimensional entre el narcisismo y el comportamiento de autopromoción. Se recopiló un total de 605 cuestionarios completos de estudiantes de universidades de Rawalpindi e Islamabad, Pakistán, mediante un muestreo conveniente. El estudio utilizó el Inventario de Personalidad Narcisista (Ames et al., 2006), un cuestionario de desarrollo propio sobre comportamiento de autopromoción en sitios de redes sociales y la Escala de Perfeccionismo Multidimensional (Hewitt et al., 1991). Los hallazgos indicaron que las mujeres en comparación con los hombres y las solteras en comparación con las casadas obtuvieron puntuaciones más altas en narcisismo. Los niveles educativos más altos se asociaron con tasas más altas de narcisismo. Los resultados también sugieren que el narcisismo se correlaciona con el perfeccionismo orientado a uno mismo y, más significativamente, con el narcisismo orientado a los demás. El perfeccionismo orientado a uno mismo y a los demás medió significativamente la relación entre el narcisismo y el comportamiento de autopromoción en los sitios de redes sociales.(AU)

There is considerable debate in the literature about how narcis-sism predicts various behaviors associated with the utility of social net-working sites, but researchers have paid less attention to exploring the po-tential mediators of this relationship.Based on the existing literature, we anticipated that narcissism predicts self-promoting behaviors on social networking sites. The current study also investigated the mediating role of multidimensional perfectionismbetween narcissism and self-promoting behavior. A total of 605 complete questionnaires weregathered fromstu-dents from universities from Rawalpindi and Islamabad, Pakistan using convenient sampling. The study used Narcissistic Personality Inventory (Ames et al., 2006), self-developed Self-promoting Behavior on social net-working sites questionnaire, and the Multidimensional Perfectionism Scale (Hewitt et al., 1991). Findings indicated that females as compared to males and single as comparedto married individuals scored higher on narcissism. Higher educational levels were associated with higher rates of narcissism. The results also suggestthat narcissism correlated with self-oriented per-fectionism, and more significantlywith others-oriented narcissism. Self-oriented and others-oriented perfectionism significantly mediated the rela-tionship between narcissism and self-promoting behavior on social net-working sites.(AU)

The relationship between social withdrawal and problematic social media use in Chinese college students: a chain mediation of alexithymia and negative body image.

This study explores the relationship between social withdrawal and problematic social media use among college students, with a focus on the mediating roles of alexithymia and negative body image. Using the University Student Social Withdrawal Questionnaire, Social Media Addiction Scale, Toronto Alexithymia Scale, and Negative Body Image Scale, 2582 college students (33.46% male, average age = 19.46 years, SD = 2.23) were surveyed. Social withdrawal, alexithymia, negative body image, and problematic social media use were significantly correlated with each other. Social withdrawal positively predicted problematic social media use, and both alexithymia and negative body image played a chain mediating role between social withdrawal and problematic social media use. The findings indicate that individual social withdrawal is associated with college students' problematic use of social media. The results suggest that alexithymia and negative body image may mediate this association, highlighting a potential pathway through which social withdrawal influences social media use patterns.

Is social media our new quitline? A descriptive study assessing youtube coverage of tobacco cessation.

Background: Tobacco use and exposure are leading causes of morbidity and mortality worldwide. In the past decade, educational efforts to reduce tobacco use and exposure have extended to social media, including video-sharing platforms. YouTube is one of the most publicly accessed video-sharing platforms. Purpose: This cross-sectional descriptive study was conducted to identify and describe sources, formats, and content of widely viewed YouTube videos on smoking cessation. Methods: In August to September 2023, the keywords "stop quit smoking" were used to search in YouTube and identify 100 videos with the highest view count. Results: Collectively, these videos were viewed over 220 million times. The majority (n = 35) were posted by nongovernmental/organization sources, with a smaller number posted by consumers (n = 25), and only eleven were posted by governmental agencies. The format used in the highest number of videos was the testimonial (n = 32 videos, over 77 million views). Other popular formats included animation (n = 23 videos, over 90 million views) and talk by professional (n = 20 videos, almost 43 million views). Video content included evidence-based and non-evidence-based practices. Evidence-based strategies aligned with U.S. Public Health Service Tobacco Treatment Guidelines (e.g. health systems approach in tobacco treatment, medication management). Non-evidence-based strategies included mindfulness and hypnotherapy. One key finding was that environmental tobacco exposure received scant coverage across the videos. Conclusions: Social media such as YouTube promises to reach large audiences at low cost without requiring high reading literacy. Additional attention is needed to create videos with up-to-date, accurate information that can engage consumers.

How Do Women Vote: What Women Post About Home Birth Versus Hospital Birth on Popular Social Media Platforms.

INTRODUCTION: The rates of home birth have been increasing; reliance on social media as a source of medical advice and support for patients has also been increasing. This is the first study that directly evaluates birthing people's perceptions, attitudes, and advice about planned home births expressed in public posts and comments on two popular social media platforms - Reddit and TikTok. METHODS: Posts on each platform were searched from January 2017 through July 2022 using the terms "home birth" and "home vs. hospital birth". Included posts were from the United States written in English, with at least 10 comments and 10 upvotes or likes. Up to five themes were collected per post or comment and were categorized as supportive, opposing, or neutral. The Institutional Review Board (IRB) determined that the project did not include human subjects. RESULTS: Collectively, 777 posts and 47,452 comments were evaluated for inclusion; 257 posts and 2,408 comments met the inclusion criteria for analysis. In posts, 69% supported, 20% opposed, and 11% were neutral toward home birth (n = 257). Similarly, in comments, 53% supported, 28% opposed, and 19% were neutral (n = 2,408). Supportive themes included concerns about the safety of hospital delivery and reassurance about home birth safety, enhanced patient control with home deliveries, positive personal stories reinforcing home birth, concerns about excessive interventions in hospital birth, and advice about preparing for home birth. Opposing themes included concerns about risks of home birth, negligence of those attempting it, reassurance that hospital birth does offer women control, greater financial costs of home birth and that medical interventions can be lifesaving. CONCLUSION: These results can help physicians recognize some of the women's concerns about hospital births and what information they may find on social media guiding them as they formulate their birth plans. Overall, this information helps with the goal of balancing patient safety with the need to respect patient autonomy.

Audience reconstructed: social media interaction by BTS fans during live stream concerts.

COVID-19-motivated social distancing made online concerts common practice in 2020 and 2021, with millions logging into streaming sites to see their favorite artists perform in realtime. For some fans, watching alone at home may have been enough, but concert-concurrent surges of social media activity suggest many virtual performance attendees are doing more. To understand why fans would turn their attention from these precious performance streams to social media, we explored Twitter engagement during four live streamed concerts performed by the Kpop group BTS in 2021. In public Tweets sampled by either concert hashtag or a predefined stream of users and keywords, we evaluated patterns in posting rates in relation to concert program events and investigated the content patterns in 1,200 Tweets sampled from four ranges of popularity (number of Retweets during the concert). Across concerts, short "Shout" Tweets surged at the start of songs, while the rate of retweets often fell during musical performances and shot up when BTS was off stage. Content analysis on the subsample found the materials most widely shared were informational or featured concert visuals, mimicking how fans use their phones at in-person concerts. Most original posts received few Retweets and were more personal and expressive of admiration for the performers. Comparison between the samples (concert hashtag vs. stream) also suggests users were strategic in using or omitting official concert hashtags with the strongest differences in the most widely disseminated content. Postings on Twitter during these performances seemed principally directed to fellow fans and audience members, by individuals choosing to share their own excitement and check in with others. By leveraging their existing social media networks, these concert attendees constructed a collective and interactive concert space, connecting with friends and strangers in the crowd and helping each other capture a richer experience than any broadcasting platform currently supports.

Cytopathology in the era of social media.

In today's medical landscape, social media (SoMe) platforms have expanded their reach beyond mere communication and entertainment, making a significant impact in the pathology field, including cytopathology. In recent years, SoMe platforms have become increasingly adopted by cytopathologists, facilitating continued education, professional networking, enhancing patient engagement, and entertainment. This adoption has influenced the professional growth of cytopathologists, and at its best, has led to the establishment of a robust professional online presence and ultimately contributed to leadership positions, fellowship opportunities, and academic promotions. Moreover, the integration of SoMe into the academic field has shown a profound impact on the visibility of academic journals and has provided a platform for lower-impact factor journals to expand their reach, ultimately increasing article citation rates and positively contributing to journal impact factor growth. SoMe platforms created a modern avenue for conference networking that has revolutionized knowledge dissemination and enhanced real-time engagement. The advantages of SoMe have extended to a global scale, positively enhancing professional expertise sharing, facilitating effective communication and teleconsultation worldwide, and reaching developing countries. Drawing insights from the recent medical literature and the practical insight from the experts' personal experience, this article provides a comprehensive review of how SoMe and cytopathology intersect to create new opportunities, facilitating informed discussions, global collaboration, and advancements in the field of cytopathology. This article also delves into the challenges surrounding SoMe platform navigation and addresses ethical and regulatory concerns, providing guidelines on what to post and what not to post on SoMe platforms.

'I'm still su!c!dal when you're done with the paperwork': an inductive framework thematic analysis of #camhs on TikTok.

BACKGROUND: Young people are sharing their experiences of Child and Adolescent Mental Health Services (CAMHS) in the United Kingdom on TikTok. Little is known about the content of these videos and their influence on young people's attitudes towards seeking professional mental health support. METHODS: This study explored how CAMHS is represented in a sample of 100 #camhs TikTok videos using participatory inductive framework thematic analysis. RESULTS: Four themes were developed alongside young people as co-researchers: (a) CAMHS can be frustrating and unhelpful, but sometimes life-saving, (b) Young people can feel their distress is invalidated by CAMHS, (c) CAMHS makes young people feel responsible for their distress, and (d) Young people may not feel CAMHS professionals are trustworthy. Video content described dismissive responses to expressions of suicidal ideation, professional knowledge being privileged over lived experience, and breaches of confidentiality. Some shared positive experiences of CAMHS helping to keep them safe. CONCLUSIONS: Together, the themes reflect a representation of CAMHS as a service where adults are powerful and young people occupy a subjugated position. This may influence young people's professional help-seeking behaviour. Recommendations for clinical practice and future research are presented.

Sentiment analysis of Arabic social media texts: A machine learning approach to deciphering customer perceptions.

Sentiment analysis (SA) is a subfield of artificial intelligence that entails natural language processing. This has become increasingly significant because it discerns the emotional tone of reviews, categorising them as positive, neutral, or negative. In the highly competitive coffee industry, understanding customer sentiment and perception is paramount for businesses seeking to optimise their product offerings. Traditional methods of market analysis often fall short of capturing the nuanced views of consumers, necessitating a more sophisticated approach to sentiment analysis. This research is motivated by the need for a nuanced understanding of customer sentiments across various coffee products, enabling companies to make informed decisions regarding product promotion, improvement, and discontinuation. However, sentiment analysis faces a challenge when it comes to analysing Arabic text due to the language's extraordinarily complex inflectional and derivational morphology. Consequently, to address this challenge, we have developed a new method designed to improve the precision and effectiveness of Arabic sentiment analysis, specifically focusing on understanding customer opinions about various coffee products on social media platforms like Twitter. We gathered 10,646 various coffee products' Twitter reviews and applied feature extraction techniques using the term frequency-inverse document frequency (TF-IDF) and minimum redundancy maximum relevance (MRMR). Subsequently, we performed sentiment analysis using four supervised learning algorithms: k-nearest neighbor, support vector machine, decision tree, and random forest. All the classification statements derived in the analysis were aggregated via ensemble learning to convey the final results. Our results demonstrated an increase in prediction accuracy, with our method achieving over 95.95% accuracy in the Hard voting and soft voting at 94.51 %.

Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study.

Background: Opioid and substance misuse has become a widespread problem in the United States, leading to the "opioid crisis." The relationship between substance misuse and mental health has been extensively studied, with one possible relationship being that substance misuse causes poor mental health. However, the lack of evidence on the relationship has resulted in opioids being largely inaccessible through legal means. objectives: This study aims to analyze social media posts related to substance use and opioids being sold through cryptomarket listings. The study aims to use state-of-the-art deep learning models to generate sentiment and emotion from social media posts to understand users' perceptions of social media. The study also aims to investigate questions such as which synthetic opioids people are optimistic, neutral, or negative about; what kind of drugs induced fear and sorrow; what kind of drugs people love or are thankful about; which drugs people think negatively about; and which opioids cause little to no sentimental reaction. Methods: The study used the drug abuse ontology and state-of-the-art deep learning models, including knowledge-aware Bidirectional Encoder Representations From Transformers-based models, to generate sentiment and emotion from social media posts related to substance use and opioids being sold through cryptomarket listings. The study crawled cryptomarket data and extracted posts for fentanyl, fentanyl analogs, and other novel synthetic opioids. The study performed topic analysis associated with the generated sentiments and emotions to understand which topics correlate with people's responses to various drugs. Additionally, the study analyzed time-aware neural models built on these features while considering historical sentiment and emotional activity of posts related to a drug. Results: The study found that the most effective model performed well (statistically significant, with a macro-F1-score of 82.12 and recall of 83.58) in identifying substance use disorder. The study also found that there were varying levels of sentiment and emotion associated with different synthetic opioids, with some drugs eliciting more positive or negative responses than others. The study identified topics that correlated with people's responses to various drugs, such as pain relief, addiction, and withdrawal symptoms. Conclusions: The study provides insight into users' perceptions of synthetic opioids based on sentiment and emotion expressed in social media posts. The study's findings can be used to inform interventions and policies aimed at reducing substance misuse and addressing the opioid crisis. The study demonstrates the potential of deep learning models for analyzing social media data to gain insights into public health issues.

Development, validity, and reliability of the parent-adolescent communication about adolescents' social media use scale (PACAS).

Adolescents spend a substantial portion of their time using social media. Yet, there is a lack of understanding regarding how often parents and adolescents communicate about this social media use. To address this gap, we developed the Parent-Adolescent Communication about Adolescents' Social Media Use Scale (PACAS). In a first data wave, among 388 Dutch adolescents (13-15 years; 54% girls), exploratory and confirmatory factor analyses distinguished four scales: parental solicitation, adolescent disclosure, adolescent secrecy, and parental knowledge. All four scales had strong internal reliability and correlated in the expected directions. We re-established the validity and internal reliability and obtained test-retest reliability in a second wave, in which 330 adolescents were surveyed again. The findings show that parents and adolescents infrequently communicate about social media. Parental knowledge about adolescents' social media use strongly depends on the communication efforts of both parties. Altogether, the PACAS provides a valuable tool to explore the dynamics of parent-adolescent communication about social media.

Prior State of Knowledge: Adolescents use social media around the clock. This raises concerns among parents about what their adolescents do and experience on social media. Yet, our understanding of how parents and adolescents communicate about these issues is limited. Novel Contributions: This study developed the Parent-Adolescent Communication about Adolescents' Social Media Use Scale (PACAS), which consists of four scales: parental solicitation, adolescent disclosure, adolescent secrecy, and parental knowledge. The findings show that parents and adolescents infrequently communicate about social media. Practical Implications: The findings emphasize that parents should not only solicit information but also foster open communication so that adolescents can willingly disclose information about their social media use. Only then can parents keep informed about their adolescents' social media experiences.

From Style to Wellness: How Fashion Influencers Are Affecting Healthy Behaviors in Saudi Arabia.

Background Social media influencers, particularly those in the fashion domain, have become prominent sources of health-related information, influencing the health behaviors of their followers, especially within the unique socio-cultural context of Saudi Arabia. This study aims to examine the relationship between following fashion influencers on social media and the adoption of healthy behaviors among Saudi residents. Methods A descriptive cross-sectional study with an analytic component was conducted from August 25, 2023, to December 15, 2023, among Saudi residents aged 18 years and older who actively follow fashion influencers. Data were collected via a structured, validated questionnaire distributed through various social media platforms. Data analysis was performed by employing descriptive statistics, Pearson's chi-square test, and logistic regression analyses to identify predictors of negative health behavior outcomes. Results The study included 466 participants, revealing that despite insignificant differences in age and gender, postgraduate education was associated with negative outcomes (p = 0.016). Notably, 8.7% of individuals with negative outcomes held postgraduate degrees, compared to 2.9% in the non-negative group. Participants with negative outcomes more frequently followed influencers offering health tips (p = 0.01) and advocating a healthy lifestyle (p < 0.001). Logistic regression identified individuals who followed influencers with fewer than 10K followers had significantly higher odds of negative outcomes (OR = 3.6, 95% CI: 1.4-8.9, p = 0.006). Conclusion Following fashion influencers on social media can influence health behaviors among Saudis, with both positive and negative outcomes. Critical evaluation of influencer content is crucial to avoid potential adverse effects. Further research is also needed to explore the dynamics of influencer impact on health outcomes and to develop strategies for effective health communication in the digital age.

Streamlining social media information extraction for public health research with deep learning.

OBJECTIVE: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a system to streamline the process of curating colloquial medical dictionaries. We demonstrate the pipeline by curating a UMLS-colloquial symptom dictionary from COVID-19-related tweets as proof of concept. METHODS: COVID-19-related tweets from February 1, 2020, to April 30, 2022 were used. The pipeline includes three modules: a named entity recognition module to detect symptoms in tweets; an entity normalization module to aggregate detected entities; and a mapping module that iteratively maps entities to Unified Medical Language System concepts. A random 500 entity sample were drawn from the final dictionary for accuracy validation. Additionally, we conducted a symptom frequency distribution analysis to compare our dictionary to a pre-defined lexicon from previous research. RESULTS: We identified 498,480 unique symptom entity expressions from the tweets. Pre-processing reduces the number to 18,226. The final dictionary contains 38,175 unique expressions of symptoms that can be mapped to 966 UMLS concepts (accuracy = 95%). Symptom distribution analysis found that our dictionary detects more symptoms and is effective at identifying psychiatric disorders like anxiety and depression, often missed by pre-defined lexicons. CONCLUSIONS: This study advances public health research by implementing a novel, systematic pipeline for curating symptom lexicons from social media data. The final lexicon's high accuracy, validated by medical professionals, underscores the potential of this methodology to reliably interpret and categorize vast amounts of unstructured social media data into actionable medical insights across diverse linguistic and regional landscapes.

Most influential women neurosurgeons on Twitter.

Background: Social media platforms can increase gender diversity and foster community within the neurosurgical field. Women have been historically underrepresented in neurosurgery. The purpose of this study is to compile a list of women neurosurgeons on Twitter according to their social media influence and identify whether social media influence correlates with academic productivity. Methods: Women neurosurgeons (post-residency) in the United States who have Twitter accounts were obtained via the Women in Neurosurgery Twitter account and individuals who used the hashtag: #womeninneurosurgery (n= 50). Social media influence (followers, original posts, likes, retweets) was extracted through Popsters social media analytics platform for each of the accounts from January 1st, 2023 to June 30th, 2023. The efficiency metric standardized retweets for follower count, as well as number of posts. Academic H-index scores were ascertained via SCOPUS. 3 lists were created based off the efficiency metric, follower count, and average likes per post. Results: The relationship between the efficiency metric (average retweets per post per follower) and H-index was not significant at level of p < 0.05, whereas the relationships between follower count and H-index, and average likes per posts and H-index were significant at p < 0.05. Conclusion: The significant positive association found between H-index and average likes, as well as H-index and follower count demonstrates that social media influence and academic productivity/influence may go hand in hand. The lists of women neurosurgeons may serve as a guide for individuals interested in following women neurosurgeons on Twitter. Additionally, this would aid in fostering a community supportive of women neurosurgeons. Further, this may also inform individuals who would like to grow their presence on social media on how to build their following.

Effectiveness of social media-assisted course on learning self-efficacy.

The social media platform and the information dissemination revolution have changed the thinking, needs, and methods of students, bringing development opportunities and challenges to higher education. This paper introduces social media into the classroom and uses quantitative analysis to investigate the relation between design college students' learning self-efficacy and social media for design students, aiming to determine the effectiveness of social media platforms on self-efficacy. This study is conducted on university students in design media courses and is quasi-experimental, using a randomized pre-test and post-test control group design. The study participants are 73 second-year design undergraduates. Independent samples t-tests showed that the network interaction factors of social media had a significant impact on college students learning self-efficacy. The use of social media has a significant positive predictive effect on all dimensions of learning self-efficacy. Our analysis suggests that using the advantages and value of online social platforms, weakening the disadvantages of the network, scientifically using online learning resources, and combining traditional classrooms with the Internet can improve students' learning self-efficacy.

A multilingual analysis of pro Russian misinformation on Twitter during the Russian invasion of Ukraine.

The Russian government has long since engaged in an information campaign of propaganda and disinformation as a major part of foreign policy. This has been taken to new heights since the invasion of Ukraine in February 2022. In this study, we investigate pro-Russian misinformation within the opening weeks of the invasion in 6 languages: English, Japanese, Spanish, French, German, and Korean. Using Twitter data, we apply a combination of network and language embedding models to identify popular topics of misinformation amongst users in each language. Despite English users forming the most dominant language base on Twitter, we find that the popularity of misinformation in Japanese regularly outstrips English for certain topics. Misinformation shared by Spanish users is also over-represented in proportion to its much smaller user base. Our results provide insight into the current state of misinformation in each language. While we discuss some of the possible drivers behind the factors such as language over-representation, our study also highlights the need for further cross-lingual misinformation research in order to better understand this phenomena in a truly global context.

"Swipe & slice": decoding digital struggles with non-suicidal self-injuries among youngsters.

Introduction: Nonsuicidal-self-injury (NSSI)-related content recently emerged on social networking sites (SNS), despite its relationship with NSSI conducts is still unclear. Methods: Hence, the current population-based cross-sectional study investigated the interplay between SNS use, NSSI content engagement, risky social media challenges (RSMCs), in a sample of 404 young adults (aged 18-24), focusing on the influence of problematic social media use (PSMU) and fear of missing out (FoMO). Results: Around 51.5% of the samplewas engaged inNSSI-related contents on SNS, being mostly females (p<0.001), younger (p=0.005), transgender people and nonbinary people (p=0.030) and those who displayed higher PSMU (p<0.001) or FoMO (p=0.031). Around 66.2% of the sample currently practice NSSIs, predominantly among females (p<0.001), those using BeReal (p=0.012), actively looking for NSSIrelated contents on SNS (p<0.001) to be part of a group (p=0.0025) or learn how to practice NSSI (p=0.025). PSMU (p<0.001) and FoMO (p<0.001) emerged as significant predictors of NSSI content engagement, particularly among active seekers. NSSI conducts were significantly predicted by FoMO (p<0.001) and Snapchat (p=0.044), while negatively predicted by male sex (p<0.001), higher educational level (p=0.019) and age at which NSSI-related contents were firstly looked for (p=0.028). Discussion: These findings underline the need to implement preventivepolicies and targeted interventions to monitor NSSI-related contents on SNS, the impact of PSMU and FoMO on NSSI, particularly among youngsters.

January 6 arrests and media coverage do not remobilize conservatives on social media.

Social media's pivotal role in catalyzing social movements is widely acknowledged across scientific disciplines. Past research has predominantly explored social media's ability to instigate initial mobilization while leaving the question of its capacity to sustain these movements relatively uncharted. This study investigates the persistence of movement activity on Twitter and Gab following a substantial on-the-ground mobilization event catalyzed by social media-the StoptheSteal movement culminating in the January 6th Capitol attack. Our findings indicate that the online communities active in the January 6 mobilization did not display substantial remobilization in the subsequent year. These results highlight the fact that further exploration is needed to understand the factors shaping how and when movements are sustained by social media. In this regard, our study provides valuable insights for scientists across diverse disciplines, on how certain social media platforms may contribute to the evolving dynamics of collective action.

Are diverse models really non-idealized? Investigating body positivity public feed posts of fashion and beauty brands on instagram.

Research increasingly explores body positive (BoPo) messaging and diverse model representation in advertising. Fashion and beauty brands are incorporating diverse models in traditional media to address criticisms of promoting narrow appearance ideals, yet their social media communications remain understudied. This content analytical study (n = 460 models, 16 brands) analyzes BoPo messages and diverse model representation in fashion and beauty brands' Instagram posts. Variations according to the brands' reputation, posts' framing, and posts' popularity were considered. Results showed that although diverse models appeared to be prominently featured in the brands' Instagram posts (71.50%; n = 329), the majority of these posts displayed only one aspect of diversity. Racial diversity was the most represented diversity trait (76.29%, n = 251), while body (32.80%, n = 151), facial (12.10%, n = 38), and generational diversity (22.50%, n = 73) were limited. The sexualization frame (88.70%, n = 408) prevailed over the empowerment frame (32.40%, n = 149). Positive changes were noted with the empowerment frame significantly relating to the representation of diverse models. Yet, this study also highlighted that such positive messages still co-occur with negative messages as an empowerment frame co-occurred with a highly prevalent sexualization frame.

Co-design and evaluation of pain science messages on social media with adolescents with a history of chronic pain.

Pain science education is an important component of paediatric pain care; however, access to services is limited. To disseminate pain science concepts on social media, we partnered with adolescents with chronic pain to co-design content. We engaged seven adolescent co-designers (aged 13-18 years) with lived experience of chronic pain to take part in four co-design workshops. Co-designers actively contributed to the social media campaign by selecting the social media platform, dictating design principles, generating metaphors and language, and recommending changes of mock designs. Co-designers suggested expanding the intended audience of the campaign to include people without a lived experience of chronic pain, such as friends, family, and teachers, alongside targeting adolescents with chronic pain. We published 30 posts and 102 stories over an 18-week period on Instagram, that reached over 40,000 individuals. We evaluated co-designers experience, where they reported having clear communication and necessary supports and information to participate; were able to share their ideas and felt they were heard; and felt their input was making a difference. The outputs of this campaign could be useful to guide the tailoring of other pain science education content delivered by clinicians as part of clinical care. Future testing of the content generated in this co-design process could evaluate if it leads to meaningful changes to the lives of people with chronic pain. PERSPECTIVE: Researchers partnered with adolescents with chronic pain to co-design content for a social media campaign on pain science education. Adolescent co-designers actively shaped the campaign direction, broadening its scope to reach diverse audiences. Our Instagram initiative reached over 40,000 individuals, indicating the potential for innovative educational approaches.