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ImportanceThere is an increasing number of cancer 'survivors' and increasing research into supportive care. However, it is unknown how patterns of attention and citation differ between supportive and non-supportive cancer care research. We sought to estimate the engagement of high-impact studies of supportive compared to non-supportive cancer care papers.MethodsIn a cross-sectional review of top oncology journals (2016-2023), we reviewed studies examining supportive care strategies and a frequency-matched random sampling of studies on non-supportive interventions. We compared data on social engagement metrics, as represented by Altmetric scores and citations and funding status, by supportive care or non-supportive care articles.ResultsWe found overall Altmetric scores were no different between articles that did not test supportive care and those that did, with a numerically higher score for supportive care articles (86.0 vs 102; p=0.416). Other bibliometric statistics (such as the number of blogs, number of X users, and the number of X posts) obtained from Altmetric did not differ significantly between the two groups. Non-supportive cancer care papers had a significantly higher number of citations than supportive cancer care papers (45.6 in supportive care vs 141 in non-supportive care papers; p

BACKGROUND: Understanding environmental correlates of sedentary behaviour (SB) among young people is important as such data can identify approaches to limit sedentary time. This paper estimates associations of parent-reported neighbourhood and adolescent-reported home environments with SB among adolescents aged 11-19 years from 14 countries. METHODS: In the International Physical activity and the Environment Network (IPEN) Adolescent Study (an observational, cross-sectional multi-country study), adolescents wore a triaxial accelerometer for seven days that assessed sedentary time (ST). Adolescents completed survey measures of sedentary behaviour (SB) related to recreational screen time and sitting time in motor vehicles. Parents and adolescents completed surveys assessing neighbourhood and home environments. Accelerometer based ST was available in 3,982 adolescents while survey data were available for 6,302 dyads. We estimated the total and direct effects of each environmental attribute on ST and SB. Sex of the adolescent and city/country were examined as moderators. RESULTS: The average ST in adolescents from 14 countries ranged from 7.8 to 10.5 h/day. Personal social media was the only significant correlate of total ST across both sexes. With respect to self-reported SB, adolescents accumulated an average of 3.8 h of non-school screen time per day and nearly 40 min of transport-related sitting time. Screen time was associated with all home environment variables, including social media account, as well as land use mix-diversity, traffic safety, and crime safety. Transport-related sitting time was related to land use mix-diversity, recreation facilities, walking facilities, and pedestrian infrastructure, but no home environment variables. City/country and sex were significant moderators of several associations. CONCLUSIONS: Both home and neighbourhood environment features were related to ST and SB. Having social media accounts emerged as a major contributor towards sedentarism in adolescents.

Starting in 2020, the rise of the “aesthetic,” music playlist (playlists that appealed to a particular aesthetic or theme) had skyrocketed on Youtube. From referencing studies about the effects of isolation and creativity to directly analyzing the musical playlists themselves, this paper examines the growing trend of aesthetic playlists on social media by identifying how particular combinations of songs evoke certain creative or emotional expressions as well as what those expressions mean to the listeners in an online community. While lacking a definite or singular reason as to why it had sprung into popularity, multiple studies lend evidence to the theory that the COVID-19 lockdowns had stripped away socializing opportunities with peers and friends during key stages of development, leaving ample room and need to develop other means of sharing sentiments via online internet; aesthetic playlists thus have become a new medium of universalizing a creative effort to engage in a vague, self-written and often self-serving story with others in order to cope with the loneliness that followed months of solitude. Additionally, this paper provides an inspection of how the youth adjusts to mass trauma in the modern day.Keywords: musical aesthetic, isolation, romanticization of solitude, social media, music therapy

BackgroundPatient engagement with diabetes self-care is critical to reducing morbidity and mortality. Social media is one form of digital health that is available for diabetes self-care, although its use for peer-to-peer communication has not been systematically described, and its potential to support patient self-care is unclear.ObjectiveThe primary aim of this systematic review was to describe the use of social media among patients (peer-to-peer) to manage diabetes and cardiovascular disease (CVD). The secondary aim was to assess patients' clinical outcomes, behavioral outcomes, quality of life, and self-efficacy resulting from peer-to-peer social media use.MethodsWe conducted a literature search in the following databases: PubMed, EMBASE, Web of Science, CINAHL, and PsycINFO (January 2008 through April 2019). The inclusion criteria were quantitative studies that included peer-to-peer use of social media for self-care of diabetes mellitus (with all subtypes) and CVD, including stroke.ResultsAfter an initial yield of 3066 citations, we selected 91 articles for a full-text review and identified 7 papers that met our inclusion criteria. Of these, 4 studies focused on type 1 diabetes, 1 study included both type 1 and 2 diabetes, and 2 studies included multiple chronic conditions (eg, CVD, diabetes, depression, etc). Our search did not yield any individual studies on CVD alone. Among the selected papers, 2 studies used commercial platforms (Facebook and I Seek You), 3 studies used discussion forums developed specifically for each study, and 2 surveyed patients through different platforms or blogs. There was significant heterogeneity in the study designs, methodologies, and outcomes applied, but all studies showed favorable results on either primary or secondary outcomes. The quality of studies was highly variable.ConclusionsThe future landscape of social media use for patient self-care is promising. However, current use is nascent. Our extensive search yielded only 7 studies, all of which included diabetes, indicating the most interest and demand for peer-to-peer interaction on diabetes self-care. Future research is needed to establish efficacy and safety in recommending social media use among peers for diabetes self-care and other conditions.

The paper will investigate the complexities involved in moderating casteist content on major social media platforms. Focusing on the challenges of categorizing hate speech targeting India's marginalized caste-oppressed minorities, the research aims to delve into the mechanisms utilized by platforms for content moderation. It will critically analyze existing categorization systems, exploring the efficacy and limitations in identifying and addressing casteist comments. By leveraging information sciences concepts like grounded coding and taxonomies, the study will elucidate the complexities of classifying caste-related hate speech within these systems. Moreover, it will highlight the implications of inadequate categorization on content visibility and community impact.

Social media data can provide valuable information regarding people's behaviors and health outcomes. Previous studies have shown that social media data can be extracted to monitor and predict infectious disease outbreaks. These same approaches can be applied to other fields including physical activity research and forensic science. Social media data have the potential to provide real-time monitoring and prediction of physical activity level in a given region. This tool can be valuable to public health organizations as it can overcome the time lag in the reporting of physical activity epidemiology data faced by traditional research methods (e.g. surveys, observational studies). As a result, this tool could help public health organizations better mobilize and target physical activity interventions. The first part of this paper aims to describe current approaches (e.g. topic modeling, sentiment analysis and social network analysis) that could be used to analyze social media data to provide real-time monitoring of physical activity level. The second aim of this paper was to discuss ways to apply social media analysis to other fields such as forensic sciences and provide recommendations to further social media research.

The late 2016 case of the Facebook content moderation controversy over the infamous Vietnam-era photo, “The Terror of War,” is examined in this paper for both its specifics, as well as a mechanism to engage in a larger discussion of the politics and economics of the content moderation of user-generated content. In the context of mainstream commercial social media platforms, obfuscation and secrecy work together to form an operating logic of opacity, a term and concept introduced in this paper. The lack of clarity around platform policies, procedures and the values that inform them lead users to wildly different interpretations of the user experience on the same site, resulting in confusion in no small part by the platforms’ own design. Platforms operationalize their content moderation practices under a complex web of nebulous rules and procedural opacity, while governments and other actors clamor for tighter controls on some material, and other members of civil society demand greater freedoms for online expression. Few parties acknowledge the fact that mainstream social media platforms are already highly regulated, albeit rarely in such a way that can be satisfactory to all. The final turn in the paper connects the functions of the commercial content moderation process on social media platforms like Facebook to their output, being either the content that appears on a site, or content that is rescinded: digital detritus. While meaning and intent of user-generated content may often be imagined to be the most important factors by which content is evaluated for a site, this paper argues that its value to the platform as a potentially revenue-generating commodity is actually the key criterion and the one to which all moderation decisions are ultimately reduced. The result is commercialized online spaces that have far less to offer in terms of political and democratic challenge to the status quo and which, in fact, may serve to reify and consolidate power rather than confront it.

BackgroundThe growing availability of big data spontaneously generated by social media platforms allows us to leverage natural language processing (NLP) methods as valuable tools to understand the opioid crisis.ObjectiveWe aimed to understand how NLP has been applied to Reddit (Reddit Inc) data to study opioid use.MethodsWe systematically searched for peer-reviewed studies and conference abstracts in PubMed, Scopus, PsycINFO, ACL Anthology, IEEE Xplore, and Association for Computing Machinery data repositories up to July 19, 2022. Inclusion criteria were studies investigating opioid use, using NLP techniques to analyze the textual corpora, and using Reddit as the social media data source. We were specifically interested in mapping studies' overarching goals and findings, methodologies and software used, and main limitations.ResultsIn total, 30 studies were included, which were classified into 4 nonmutually exclusive overarching goal categories: methodological (n=6, 20% studies), infodemiology (n=22, 73% studies), infoveillance (n=7, 23% studies), and pharmacovigilance (n=3, 10% studies). NLP methods were used to identify content relevant to opioid use among vast quantities of textual data, to establish potential relationships between opioid use patterns or profiles and contextual factors or comorbidities, and to anticipate individuals' transitions between different opioid-related subreddits, likely revealing progression through opioid use stages. Most studies used an embedding technique (12/30, 40%), prediction or classification approach (12/30, 40%), topic modeling (9/30, 30%), and sentiment analysis (6/30, 20%). The most frequently used programming languages were Python (20/30, 67%) and R (2/30, 7%). Among the studies that reported limitations (20/30, 67%), the most cited was the uncertainty regarding whether redditors participating in these forums were representative of people who use opioids (8/20, 40%). The papers were very recent (28/30, 93%), from 2019 to 2022, with authors from a range of disciplines.ConclusionsThis scoping review identified a wide variety of NLP techniques and applications used to support surveillance and social media interventions addressing the opioid crisis. Despite the clear potential of these methods to enable the identification of opioid-relevant content in Reddit and its analysis, there are limits to the degree of interpretive meaning that they can provide. Moreover, we identified the need for standardized ethical guidelines to govern the use of Reddit data to safeguard the anonymity and privacy of people using these forums.

As social media is increasingly used by communities to understand and cope with environmental hazards, understanding how people use social media before, during, and after disasters can support disaster response and recovery efforts. This paper presents an empirical application of Houston et al.’s (Disasters 39:1–22, 2015) functional framework for disaster social media, using the case of Twitter use during and after Hurricane María. Our research aims to (1) identify the predominant patterns of Twitter usage and content dissemination during the Hurricane María crisis and (2) validate and refine the functional framework for disaster social media with a case study of the hurricane that hit Puerto Rico in 2017. We find that people in the US used Twitter mainly to access news of the hurricane, express emotions (both negative and positive), and to understand socio-political events shaping the response and recovery. Most tweets came from individuals rather than organizations, and most were sent as the hurricane was designated as category four and approached Puerto Rico, with far fewer posts after landfall. These findings highlight the importance of individuals sharing and accessing vital information when official outlets are absent or limited and the relatively short-lived attention to slow recovery processes.

This paper seeks to address the question of why so many Saudi Arabians use social media. Prior literature investigating social media usage in the Saudi Arabia is either too broad or too narrow. This necessitates academic inquiry that addresses the “middle ground”. Saudi Arabians' markedly high rates of social media usage appear incongruous with the traditional, highly restrictive nature of Saudi Arabian society. Given social media's status as a relatively new phenomenon, and its recognized ability to engender civil engagement and political participation, its foothold in a conservative, undemocratic society appears unusual. Thus, this paper investigates the motivations behind Saudi Arabians' social media usage. Qualitative and quantitative data from NGO reports, statistical databases, case studies, news articles, and social media accounts demonstrate a causal link between state repression and social media usage. The evidence indicates that Saudi Arabians use social media to circumvent societal restrictions.

Community health workers (CHW) can play an active role in providing integrated HIV and harm reduction services. We used social media to create a virtual network among Vietnamese CHW. This paper reports CHW's social media engagement and the relationships with other work-related indicators. Sixty CHW participated in an intervention for integrated HIV/drug use service delivery. Following two in-person sessions, Facebook groups were established for CHW to share information, seek consultation, and refer patients. CHW's levels of online engagements were tracked for six months and linked to their service provision confidence, interaction with patients and other providers, and job satisfaction. The CHW made 181 posts, which received 557 comments and 1,607 reactions during the six months. Among the 60 CHW, 22 (36.6%) had three or more posts, 19 (31.7%) had one or two posts, and 19 (31.7%) had no post. Comparing the baseline and 6-month follow-up data, we observed that those who posted three or more times showed better service provision confidence (p = 0.0081), more interaction with providers in other settings (p = 0.0071), and higher job satisfaction (p = 0.0268). Our study suggests using social media to engage CHW in virtual communications to improve service provision in communities.

IntroductionThis culturally tailored enrollment effort aims to determine the feasibility of enrolling 5000 older Latino adults from California into the Brain Health Registries (BHR) over 2.25 years.MethodsThis paper describes (1) the development and deployment of culturally tailored BHR websites and digital ads, in collaboration with a Latino community science partnership board and a marketing company; (2) an interim feasibility analysis of the enrollment efforts and numbers, and participant characteristics (primary aim); as well as (3) an exploration of module completion and a preliminary efficacy evaluation of the culturally tailored digital efforts compared to BHR's standard non-culturally tailored efforts (secondary aim).ResultsIn 12.5 months, 3603 older Latino adults were enrolled (71% of the total California Latino BHR initiative enrollment goal). Completion of all BHR modules was low (6%).DiscussionTargeted ad placement, culturally tailored enrollment messaging, and culturally tailored BHR websites increased enrollment of Latino participants in BHR, but did not translate to increased module completion.HighlightsCulturally tailored social marketing and website improvements were implemented. The efforts enrolled 5662 Latino individuals in 12.5 months. The number of Latino Brain Health Registry (BHR) participants increased by 122.7%. We failed to adequately enroll female Latinos and Latinos with lower education. Future work will evaluate effects of a newly released Spanish-language BHR website.

The spread of misinformation and conspiracies has been an ongoing issue since the early stages of the internet era, resulting in the emergence of the field of infodemiology (i.e., information epidemiology), which investigates the transmission of health-related information. Due to the high volume of online misinformation in recent years, there is a need to continue advancing methodologies in order to effectively identify narratives and themes. While machine learning models can be used to detect misinformation and conspiracies, these models are limited in their generalizability to other datasets and misinformation phenomenon, and are often unable to detect implicit meanings in text that require contextual knowledge. To rapidly detect evolving conspiracist narratives within high volume online discourse while identifying nuanced themes requiring the comprehension of subtext, this study describes a hybrid methodology that combines natural language processing (i.e., topic modeling and sentiment analysis) with qualitative content coding approaches to characterize conspiracy discourse related to 5G wireless technology and COVID-19 on Twitter (currently known as X). Discourse that focused on correcting 5G conspiracies was also analyzed for comparison. Sentiment analysis shows that conspiracy-related discourse was more likely to use language that was analytic, combative, past-oriented, referenced social status, and expressed negative emotions. Corrections discourse was more likely to use words reflecting cognitive processes, prosocial relations, health-related consequences, and future-oriented language. Inductive coding characterized conspiracist narratives related to global elites, anti-vax sentiment, medical authorities, religious figures, and false correlations between technology advancements and disease outbreaks. Further, the corrections discourse did not address many of the narratives prevalent in conspiracy conversations. This paper aims to further bridge the gap between computational and qualitative methodologies by demonstrating how both approaches can be used in tandem to emphasize the positive aspects of each methodology while minimizing their respective drawbacks.

In the contemporary landscape of social media, insecurities intertwine with all aspects of society, shaping individual perceptions and influencing lifetime happiness. This paper dives into how insecurities develop, the disorders that they are a gateway for, and their psychological effects on lifetime happiness. By interviewing four participants and reviewing published literature, this research attempts to understand self-perception, external validation, and virtual interactions in the context of happiness.

BackgroundLatina adolescents in the USA report some of the lowest rates of physical activity of any demographic subgroup; this is paralleled by a markedly higher lifetime risk of obesity, type 2 diabetes, and other conditions related to inactivity. Despite this, to date, no fully powered clinical trials have tested physical activity interventions specifically for this population. High use of mobile technologies (including text messages, smartphone apps, and social media) suggests this could be an appropriate intervention channel, while also having potential for broad reach. This paper describes the protocol for Chicas Fuertes, a fully powered randomized trial of a mobile technology-based physical activity intervention for Latina adolescents.MethodsWe plan to recruit 200 Latina teens (age 13-18) in San Diego, CA, currently engaging in ≤ 150 min/week of moderate-to-vigorous physical activity (MVPA) to be assigned 1:1 to the intervention or control groups. Those randomly assigned to the intervention group receive a one-on-one goal setting session followed by 6 months of mobile technology-based intervention, including a personalized website, Fitbit activity tracker and app, individually tailored text messages based on Fitbit data, and daily intervention content on Instagram. Those randomized to the control group receive only a Fitbit activity tracker. The main outcome is change in weekly minutes of MVPA from baseline to 6 months, measured both objectively (ActiGraph accelerometers and Fitbit Inspire HR) and subjectively (7-Day Physical Activity Recall Interview). Additional outcomes are maintenance of activity change at 12 months and changes in psychosocial constructs, including social support and self-efficacy, engagement with mobile technology channels, and costs of intervention delivery. We are also examining the potential mediators and moderators of the intervention. The efficacy of the intervention is analyzed using a mixed effects regression model, adjusting for any potential confounders not balanced by randomization. All analyses of accelerometer measured MVPA are also adjusted for wear time.DiscussionThe Chicas Fuertes trial uses widely available mobile technologies to target critical health behavior, physical activity, in Latina teens, a population with a high lifetime risk of lifestyle-related diseases. The results will speak to the efficacy and acceptability of the intervention, which has the potential for broad dissemination.Trial registrationClinicalTrials.gov NCT04190225 . Registered on November 20, 2019.

The COVID-19 pandemic and its related policies (e.g., stay at home and social distancing orders) have increased people's use of digital technology, such as social media. Researchers have, in turn, utilized artificial intelligence to analyze social media data for public health surveillance. For example, through machine learning and natural language processing, they have monitored social media data to examine public knowledge and behavior. This paper explores the ethical considerations of using artificial intelligence to monitor social media to understand the public's perspectives and behaviors surrounding COVID-19, including potential risks and benefits of an AI-driven approach. Importantly, investigators and ethics committees have a role in ensuring that researchers adhere to ethical principles of respect for persons, beneficence, and justice in a way that moves science forward while ensuring public safety and confidence in the process.

HIV/HCV risk behavior among women who use drugs is often exacerbated within high risk networks. The use of social media platforms such as Facebook to identify sex partners within these high-risk networks has not been examined among rural Appalachian women who use drugs. This paper provides an exploratory examination of Facebook use to identify sex partners among rural Appalachian women who use drugs, as well as associated risky sexual practices. Rural Appalachian women were randomly selected from two rural jails, consented, screened for eligibility (including drug use), and interviewed prior to jail release. Findings indicated that using Facebook to meet sex partners was associated with exchanging sex for drugs or money and having a male casual partner during the same time frame. These study findings suggest that the use of social media for high-risk sexual practices may provide a valuable platform for intervention delivery, particularly in resource-deprived areas where formal prevention and treatment services are limited.

Background: Deaths due to opioid overdose continue to rise in the United States. Despite availability of effective treatment for opioid use disorder, uptake is low among those who misuse opioids. Methods: This paper explores the role of misconception, stigma, and misinformation in influencing decisions to initiate medications for opioid use disorder among patients and providers. Conclusion: Misinformation about opioids has been prevalent among future healthcare providers and first responders as well as pharmaceutical companies, which may have implications for treatment. Among individuals with opioid use disorder, treatment uptake and adherence have been negatively affected by misconceptions about treatment efficacy and side effects, as well as stigma. We discuss the role of social media, education, and the community, in mitigating misinformation and addressing misconceptions about opioids and treatment options.

The outbreak of the novel coronavirus, COVID-19, has become one of the most severe pandemics in human history. In this paper, we propose to leverage social media users as social sensors to simultaneously predict the pandemic trends and suggest potential risk factors for public health experts to understand spread situations and recommend proper interventions. More precisely, we develop novel deep learning models to recognize important entities and their relations over time, thereby establishing dynamic heterogeneous graphs to describe the observations of social media users. A dynamic graph neural network model can then forecast the trends (e.g. newly diagnosed cases and death rates) and identify high-risk events from social media. Based on the proposed computational method, we also develop a web-based system for domain experts without any computer science background to easily interact with. We conduct extensive experiments on large-scale datasets of COVID-19 related tweets provided by Twitter, which show that our method can precisely predict the new cases and death rates. We also demonstrate the robustness of our web-based pandemic surveillance system and its ability to retrieve essential knowledge and derive accurate predictions across a variety of circumstances. Our system is also available at http://scaiweb.cs.ucla.edu/covidsurveiller/. This article is part of the theme issue 'Data science approachs to infectious disease surveillance'.

In the field of electronic literature, there is an interest in understanding current digital writing practices, termed third generation electronic literature. Many scholars claim that third-gen e-literature lacks an “aesthetic of difficulty.” This is a term introduced by Jessica Pressman, who applied it to first and second generation e-literature to describe the complex interpretation that must occur in their analysis. I claim that there is an aesthetic of difficulty found in third-gen e-literature, which I access through my concept “local intertextuality.” This phrase draws on the mathematical definition of local to specify intertextuality within a limited range of texts. Local intertextuality can be defined in two parts: firstly, the content directly connected to it through the platform it exists on, through creation by the same author, or interaction from the same users, among other possibilities; secondly, references to particular meme templates, fonts, and filters.By scrolling through the poster's feed and encountering memes in different presentations, a reader can draw out difficult hermeneutics of the original meme. Moreover, utilizing Michel Serres’s concept of the parasite, a reader can draw out difficult politics of the original meme, in our case liberatory politics against monopolistic social media from the outside in. The meme enacts this by realizing the gap that exists between the power of social media and the users it subjugates. At its heart, what this paper argues is that third generation electronic literature can hold an aesthetic of difficulty—you just have to read between the memes.

After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images can be utilized to provide information about the shaking damage in the earthquake region both to the public and research community, and potentially to guide rescue work. This paper presents an automated way to extract the damaged buildings images after earthquakes from social media platforms such as Twitter and thus identify the particular user posts containing such images. Using transfer learning and ~ 6500 manually labelled images, we trained a deep learning model to recognize images with damaged buildings in the scene. The trained model achieved good performance when tested on newly acquired images of earthquakes at different locations and when ran in near real-time on Twitter feed after the 2020 M7.0 earthquake in Turkey. Furthermore, to better understand how the model makes decisions, we also implemented the Grad-CAM method to visualize the important regions on the images that facilitate the decision.

The rapidly expanding universe of information, media, and learning experiences available through digital technology is creating unique opportunities and vulnerabilities for children and adolescents. These issues are particularly salient during the developmental window at the transition from childhood into adolescence. This period of early adolescence is a time of formative social and emotional learning experiences that can shape identity development in both healthy and unhealthy ways. Increasingly, many of these foundational learning experiences are occurring in on-line digital environments. These expanding vulnerabilities and opportunities are being further amplified for young adolescents growing up in low resourced settings around the world. Cultural and contextual factors influence access, use, and appropriation of digital technology. Further, neurobehavioral changes associated with the onset of puberty often coincide with entry into social media and more autonomous use of technology. In low-and-middle-income countries (LMICs), disparities in access, use, and appropriation of digital media can amplify prevailing economic gaps, and compound gender inequalities during early adolescence. In LMICs, adolescents are often the early adopters of mobile technology and social media platforms. While the impact of social media on the well-being, particularly mental health, of young adolescents has been a focus of research in high-income countries (HICs), much less is known about the impacts of social media use on young adolescents in LMICs. In this paper, we review what is known about the interaction between digital media and early adolescent development. We highlight crucial gaps in the evidence in LMICs; and describe some hypotheses and areas for future research to address these compelling issues.

Unprecedented public engagement with social media has provided viable and culturally relevant platforms for application in sexual health interventions, yet there are concerns that methods for evaluating engagement in these interventions have not kept pace with their implementation. More recently, the rise of social media analytics (SMA) and online marketing has spawned the development of analytic tools that boast promise for such a task. In this paper, we review a sample of the most popular of these tools, paying particular attention to: (1) the social media platforms that can be analyzed; (2) analytic capabilities; and (3) measures of engagement. We follow this with a review of sexual health intervention studies that apply these tools in evaluation efforts. Our findings suggest that these tools have numerous analytic capabilities that would be useful for evaluating interventions more efficiently. However, in nearly all cases, the tools we reviewed alone would not be sufficient to fully grasp engagement dynamics, as they need to be complemented with additional tools for textual analysis and social network analysis. Therefore, we consider this fertile ground for future collaborations between software developers and behavioral health scientists to develop more comprehensive analytic platforms with applications for public health research.

BACKGROUND:Studies estimate that the number of cancer survivors will double by 2050 due to improvements in diagnostic accuracy and treatment efficacy. Despite the growing population of cancer survivors, there is a paucity of research regarding how these individuals experience the transition from active treatment to long-term surveillance. While research has explored this transition from more organized venues, such as support groups for cancer survivors, this paper explores the discourses surrounding cancer survivorship on social media, paying particular attention to how individuals who identify as cancer survivors represent their experience. METHODS:We identified social media posts relating to cancer survivorship on Twitter and Instagram in early June 2018, in order to coincide with National Cancer Survivorship Day on June 3, 2018. We used nine pre-selected hashtags to identify content. For each hashtag, we manually collected the 150 most recent posts from Twitter and the 100 most recent plus the top 9 posts from Instagram. Our preliminary sample included 1172 posts; after eliminating posts from one hashtag due to irrelevance, we were left with 1063 posts. We randomly sampled 200 of these to create a subset for analysis; after review for irrelevant posts, 193 posts remained for analysis (118 from Instagram and 75 from Twitter). We utilized a grounded theory approach to analyze the posts, first open-coding a subset to develop a codebook, then applying the codebook to the rest of the sample and finally memo writing to develop themes. RESULTS:Overall, there is substantial difference in the tone and thematic content between Instagram and Twitter posts, Instagram takes on a more narrative form that represents journeys through cancer treatment and subsequent survivorship, whereas Twitter is more factual, leaning towards advocacy, awareness and fundraising. In terms of content type, 120 posts (62%) of the sample were images, of which 42 (35%) were images of the individual posting and 28 (23%) were images of patients posted by family or friends. Of the remaining images, 14 (12%) were of support groups and 7 (6%) were of family or friends. We identified four salient themes through analysis of the social media posts from Twitter and Instagram: social support, celebrating milestones and honoring survivors, expressing identity, and renewal vs. rebirth. DISCUSSION:We observed a marked relationship between physical appearance, functional status and survivorship. Additionally, our findings suggest the importance of social support for cancer patients and survivors as well as the role social media can pay in identity formation. CONCLUSION:Our findings suggest that individuals who identify as survivors on social media define their identity fluidly, incorporating elements of physical, emotional and psychological health as well as autonomy.

There is a critical need to improve trauma-informed services in structurally marginalized communities impacted by violence and its associated traumatic grief. For community residents, particularly gang-associated youth, repeated exposure to traumatic grief causes serious adverse effects that may include negative health outcomes, delinquency, and future violent offenses. The recent proliferation of digital social media platforms, such as Twitter, provide a novel and largely underutilized resource for responding to these issues, particularly among these difficult-to-reach communities. In this paper, we explore the potential for using a human-machine partnered approach, wherein qualitative fieldwork and domain expertise is combined with a computational linguistic analysis of Twitter content among 18 gang territories/neighborhoods on Chicago's South Side. We first employ in-depth interviews and observations to identify common patterns by which residents in gang territories/neighborhoods express traumatic grief on social media. We leverage these qualitative findings, supplemented by domain expertise and computational techniques, to gather both traumatic grief- and gang-related tweets from Twitter. We next utilize supervised machine learning to construct a binary classification algorithm to eliminate irrelevant tweets that may have been gathered by our automated query and extraction techniques. Last, we confirm the validity, or ground truth, of our computational findings by enlisting additional domain expertise and further qualitative analyses of the specific traumatic events discussed in our sample of Twitter content. Using this approach, we find that social media provides useful signals for identifying moments of increased collective traumatic grief among residents in gang territories/neighborhoods. This is the first study to leverage Twitter to systematically ground the collective online articulations of traumatic grief in traumatic offline events occurring in violence-impacted communities. The results of this study will be useful for developing more effective tools-including trauma-informed intervention applications-for community organizations, violence prevention initiatives, and other public health efforts.

BackgroundHealth researchers are increasingly using social media in a professional capacity, and the applications of social media for health researchers are vast. However, there is currently no published evidence synthesis of the ways in which health researchers use social media professionally, and uncertainty remains as to how best to harness its potential.ObjectiveThis scoping review aimed to explore how social media is used by health researchers professionally, as reported in the literature.MethodsThe scoping review methodology guided by Arksey and O'Malley and Levac et al was used. Comprehensive searches based on the concepts of health research and social media were conducted in MEDLINE, EMBASE, CINAHL, PsycINFO, ERIC, and Web of Science databases, with no limitations applied. Articles were screened at the title and abstract level and at full text by two reviewers. One reviewer extracted data that were analyzed descriptively to map the available evidence.ResultsA total of 8359 articles were screened at the title and abstract level, of which 719 were also assessed at full text for eligibility. The 414 articles identified for inclusion were published in 278 different journals. Studies originated from 31 different countries, with the most prevalent being the United States (52.7% [218/414]). The health discipline of the first authors varied, with medicine (33.3% [138/414]) being the most common. A third of the articles covered health generally, with 61 health-specific topics. Papers used a range of social media platforms (mean 1.33 [SD 0.7]). A quarter of the articles screened reported on social media use for participant recruitment (25.1% [104/414]), followed by practical ways to use social media (15.5% [64/414]), and use of social media for content analysis research (13.3% [55/414]). Articles were categorized as celebratory (ie, opportunities for engagement, 72.2% [299/414]), contingent (ie, opportunities and possible limitations, 22.7% [94/414]) and concerned (ie, potentially harmful, 5.1% [21/414]).ConclusionsHealth researchers are increasingly publishing on their use of social media for a range of professional purposes. Although most of the sentiment around the use of social media in health research was celebratory, the uses of social media varied widely. Future research is needed to support health researchers to optimize their social media use.

Social media can potentially serve as a platform to coordinate medical care among fragmented health sectors. This paper describes procedures of using social media to enhance antiretroviral therapy (ART) and methadone maintenance treatment (MMT) providers' virtual network for integrated service for HIV-positive people who inject drugs (PWID) in Vietnam. A total of 88 ART and MMT treatment providers participated in person group sessions followed by online virtual support to improve service integration. In-person reunions were held to reinforce Facebook participation and network activities. Content analysis was used to identify keywords and topic categories of the online information exchange. Both MMT and ART providers were actively engaged in online communications. Referral and treatment adherence were the two most frequently discussed topic areas by both the MMT and ART providers. Frequent cross-agency connections were observed. Online provider networks and communities could be built and useful to support treatment providers to improve service integration.

This paper takes up the assumption that social media offers a beneficial terrain for the far right to undermine open societies. Identifying perceptions of imperilment as the central impetus for the far right to justify illiberal politics, it analyzes how such perceptions are boosted under the digital condition. This contextualization is essential for our understanding of digital fascism: a highly fluid and ambivalent variant of fascism that lacks a clear organizational center as the digitally networked masses are the engine of their own manipulation. To substantiate this concept, we relate structures of social media to far-right agency in social media. Concretely, we show how the techniques of dramatic storytelling, gaslighting and metric manipulation correspond with the functioning of social media that catalyzes the amplification of fears, the diffusion of post-truth and the logic of numbers. Based on this, we argue that a new perspective on fascism is needed, since digital fascism draws its dynamics mainly from digital (hate) cultures and less from formal and regimented party structures. In consequence, it has to be analyzed and countered as a social phenomenon that emerges both organically and strategically in the ecosystems of social media. This presents open societies with a dilemma: The dynamics of digital fascism develop out of structures that warrant freedom of expression – and to break these dynamics, restrictions that harm its liberal principles appear necessary.

This paper discusses the role that the right’s presence on the internet has played in this ideology’s rise to popularity and its successful attempts at winning elections. It highlights the main messages that specialized websites and the public chat groups available over Twitter, Facebook and Instagram spread around selected issues, such as climate change, immigration, gay rights, and race in Canada; in an attempt to determine the direction that they want to give to public debate on those matters.  Based on the case study of the spring 2019 provincial elections in Alberta, Canada, I test the hypothesis that the frequency and radical features of messaging distributed by right-wing websites and chat groups in social media increase around election times, as an expression of a sustained and successful effort at influencing the vote along their ideological direction.

BACKGROUND:In the United States, disparities in the rates of HIV care among youth and young adults result from the intersections of factors that include stigma, substance use, homelessness or marginal housing, institutional neglect, and mental health issues. Novel interventions are needed that are geared to youth and young adults. OBJECTIVE:In this paper, we aim to describe the interventions used by participating sites for Using Social Media initiative, the process for classifying the intervention components, and the methods for conducting a comprehensive evaluation of the interventions. METHODS:In 2015, the Health Resources and Services Administration (HRSA) HIV/AIDS Bureau, Special Projects of National Significance (SPNS) funded the Evaluation and Technical Assistance Center (ETAC) at the University of California, Los Angeles and 10 demonstration projects at sites across the United States that incorporated innovative approaches using a variety of social media and mobile technology strategies designed specifically for youth and young adults living with HIV. The ETAC developed a typology, or a classification system, that systematically summarizes the principal components of the interventions into broader groups and developed a multisite, mixed-methods approach to evaluate them based on the Department of Health and Human Services HIV health outcomes along the HIV care continuum. The mixed-methods approach is key to remove potential biases in assessing the effectiveness of demonstration projects. RESULTS:This SPNS project was funded in September 2015, and enrollment was completed on May 31, 2018. A total of 984 participants have been enrolled in the multisite evaluation. Data collection will continue until August 2019. However, data analysis is currently underway, and the first results are expected to be submitted for publication in 2019. CONCLUSIONS:This HRSA-funded initiative seeks to increase engagement in HIV medical care, improve health outcomes for people living with HIV, and reduce HIV-related health disparities and health inequities that affect HIV-positive youth and young adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):DERR1-10.2196/10681.

Adolescence and young adulthood, a period essential for determining exposures over the life-course, is an ideal time to intervene to lower cancer risk. This demographic group can be viewed as both the target audience and generator of messages for cancer prevention, such as skin cancer, obesity-, tobacco-, and human papillomavirus-related cancers. The purpose of this paper is to encourage innovative health communications that target youth; youth behavior; and the structural, environmental, and social determinants of youth behavior as critical areas of focus for cancer prevention and disparities reduction. The authors describe the rationale, processes, products, and early impacts of an award-winning youth diabetes prevention communication campaign model (The Bigger Picture) that harnesses spoken-word messages in school-based and social media presentations. The campaign supports minority adolescent and young adult artists to create content that aligns with values held closely by youth-values likely to resonate and affect change, such as defiance against authority, inclusion, and social justice. This campaign can be leveraged to prevent obesity, which is a cancer risk factor. Then, the authors propose concrete ways that The Bigger Picture's pedagogical model could be adapted for broader cancer prevention messaging for youth of color and youth stakeholders regarding tobacco-related cancers, skin cancers, and human papillomavirus-related cancers. The goal is to demonstrate how a youth-generated and youth-targeted prevention campaign can: (1) reframe conversations about cancer prevention, (2) increase awareness that cancer prevention is about social justice and health equity, and (3) catalyze action to change social norms and confront the social and environmental drivers of cancer disparities.

An established body of research has used secondary data sources (such as proprietary business databases) to demonstrate the importance of the neighborhood food environment for multiple health outcomes. However, documenting food availability using secondary sources in low-income urban neighborhoods can be particularly challenging since small businesses play a crucial role in food availability. These small businesses are typically underrepresented in national databases, which rely on secondary sources to develop data for marketing purposes. Using social media and other crowdsourced data to account for these smaller businesses holds promise, but the quality of these data remains unknown. This paper compares the quality of full-line grocery store information from Yelp, a crowdsourced content service, to a "ground truth" data set (Detroit Food Map) and a commercially-available dataset (Reference USA) for the greater Detroit area. Results suggest that Yelp is more accurate than Reference USA in identifying healthy food stores in urban areas. Researchers investigating the relationship between the nutrition environment and health may consider Yelp as a reliable and valid source for identifying sources of healthy food in urban environments.