Identifying Reddit Users at a High Risk of Suicide and Their Linguistic Features During the COVID-19 Pandemic: Growth-Based Trajectory Model.

BACKGROUND: Suicide has emerged as a critical public health concern during the COVID-19 pandemic. With social distancing measures in place, social media has become a significant platform for individuals expressing suicidal thoughts and behaviors. However, existing studies on suicide using social media data often overlook the diversity among users and the temporal dynamics of suicide risk. OBJECTIVE: By examining the variations in post volume trajectories among users on the r/SuicideWatch subreddit during the COVID-19 pandemic, this study aims to investigate the heterogeneous patterns of change in suicide risk to help identify social media users at high risk of suicide. We also characterized their linguistic features before and during the pandemic. METHODS: We collected and analyzed post data every 6 months from March 2019 to August 2022 for users on the r/SuicideWatch subreddit (N=6163). A growth-based trajectory model was then used to investigate the trajectories of post volume to identify patterns of change in suicide risk during the pandemic. Trends in linguistic features within posts were also charted and compared, and linguistic markers were identified across the trajectory groups using regression analysis. RESULTS: We identified 2 distinct trajectories of post volume among r/SuicideWatch subreddit users. A small proportion of users (744/6163, 12.07%) was labeled as having a high risk of suicide, showing a sharp and lasting increase in post volume during the pandemic. By contrast, most users (5419/6163, 87.93%) were categorized as being at low risk of suicide, with a consistently low and mild increase in post volume during the pandemic. In terms of the frequency of most linguistic features, both groups showed increases at the initial stage of the pandemic. Subsequently, the rising trend continued in the high-risk group before declining, while the low-risk group showed an immediate decrease. One year after the pandemic outbreak, the 2 groups exhibited differences in their use of words related to the categories of personal pronouns; affective, social, cognitive, and biological processes; drives; relativity; time orientations; and personal concerns. In particular, the high-risk group was discriminant in using words related to anger (odds ratio [OR] 3.23, P<.001), sadness (OR 3.23, P<.001), health (OR 2.56, P=.005), achievement (OR 1.67, P=.049), motion (OR 4.17, P<.001), future focus (OR 2.86, P<.001), and death (OR 4.35, P<.001) during this stage. CONCLUSIONS: Based on the 2 identified trajectories of post volume during the pandemic, this study divided users on the r/SuicideWatch subreddit into suicide high- and low-risk groups. Our findings indicated heterogeneous patterns of change in suicide risk in response to the pandemic. The high-risk group also demonstrated distinct linguistic features. We recommend conducting real-time surveillance of suicide risk using social media data during future public health crises to provide timely support to individuals at potentially high risk of suicide.

Managing Type 2 Diabetes During the COVID-19 Pandemic: Scoping Review and Qualitative Study Using Systematic Literature Review and Reddit.

BACKGROUND: The COVID-19 pandemic impacted how people accessed health services and likely how they managed chronic conditions such as type 2 diabetes (T2D). Social media forums present a source of qualitative data to understand how adaptation might have occurred from the perspective of the patient. OBJECTIVE: Our objective is to understand how the care-seeking behaviors and attitudes of people living with T2D were impacted during the early part of the pandemic by conducting a scoping literature review. A secondary objective is to compare the findings of the scoping review to those presented on a popular social media platform Reddit. METHODS: A scoping review was conducted in 2021. Inclusion criteria were population with T2D, studies are patient-centered, and study objectives are centered around health behaviors, disease management, or mental health outcomes during the COVID-19 pandemic. Exclusion criteria were populations with other noncommunicable diseases, examining COVID-19 as a comorbidity to T2D, clinical treatments for COVID-19 among people living with T2D, genetic expressions of COVID-19 among people living with T2D, gray literature, or studies not published in English. Bias was mitigated by reviewing uncertainties with other authors. Data extracted from the studies were classified into thematic categories. These categories reflect the findings of this study as per our objective. Data from the Reddit forums related to T2D from March 2020 to early March 2021 were downloaded, and support vector machines were used to classify if a post was published in the context of the pandemic. Latent Dirichlet allocation topic modeling was performed to gather topics of discussion specific to the COVID-19 pandemic. RESULTS: A total of 26 studies conducted between February and September 2020, consisting of 13,673 participants, were included in this scoping literature review. The studies were qualitative and relied mostly on qualitative data from surveys or questionnaires. Themes found from the literature review were "poorer glycemic control," "increased consumption of unhealthy foods," "decreased physical activity," "inability to access medical appointments," and "increased stress and anxiety." Findings from latent Dirichlet allocation topic modeling of Reddit forums were "Coping With Poor Mental Health," "Accessing Doctor & Medications and Controlling Blood Glucose," "Changing Food Habits During Pandemic," "Impact of Stress on Blood Glucose Levels," "Changing Status of Employment & Insurance," and "Risk of COVID Complications." CONCLUSIONS: Topics of discussion gauged from the Reddit forums provide a holistic perspective of the impact of the pandemic on people living with T2D, which were found to be comparable to the findings of the literature review. The study was limited by only having 1 reviewer for the literature review, but biases were mitigated by consulting authors when there were uncertainties. Qualitative analysis of Reddit forms can supplement traditional qualitative studies of the behaviors of people living with T2D.

Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online.

STUDY OBJECTIVE: Use machine learning to characterize the content of endometriosis online community posts and comments. DESIGN: Retrospective Descriptive Study SETTING: Endometriosis online health communities (OHCs) on the platform Reddit. PARTICIPANTS: Users of the endometriosis online health communities r/Endo and r/endometriosis. INTERVENTIONS: Machine learning was used to analyze thousands of posts made to endometriosis OHCs. Content of posts and comments were interpreted using topic modeling, persona identification and intent labeling. Measurements included baseline characteristics of users, posts and comments to the OHCs. Machine learning techniques; topic modeling, intent labeling and persona identification were used to identify the most common topics of conversation, the intents behind the posts and the subjects of people discussed in posts. System performance was assessed via accuracy at F1 score. RESULTS: A total of 34,715 posts and 353,162 comments responding to posts were evaluated. The topics most likely to be a subject of a post were menstruation (8%), sharing symptoms (8%), medical appointments (8%), medical story (9%), and empathy (7%). The majority of posts were written with the intent of seeking information about endometriosis (49%) or seeking the experiences of others with endometriosis (29%). Users expressed a strong preference for surgeons performing excision rather than ablation of endometriosis. CONCLUSION: Endometriosis OHCs are mostly used to learn about symptoms of endometriosis and share one's medical experiences. Posts and comments from users highlight the need for more empathy in the clinical care of endometriosis and easier access for patients to high quality information about endometriosis.

Stalking Discourse on Reddit: A Comparative Analysis of Pre- and Post-COVID-19 Pandemic Using Big Data.

Stalking, a widespread and distressing phenomenon, has recently garnered considerable attention. The advent of digital platforms has revolutionized the landscape of stalking, presenting new avenues and challenges for research. However, the impact of the coronavirus disease (COVID)-19 pandemic on stalking remains underexplored, despite extensive studies on similar crimes such as intimate partner violence and domestic violence. To address this gap, our study focused on Reddit, a prominent online platform with a diverse user base and open discussion. Through an analysis of posts from the subreddit (https://www.reddit.com/r/Stalking/), we sought to compare the discourse on stalking before and after the COVID-19 pandemic. We found notable shifts in stalking-related posts before and after the COVID-19 pandemic, particularly with the emergence of new topics centered on cyberstalking. We also observed that the experiences of stalking victims have significantly changed following the COVID-19 pandemic. Based on our findings, we discussed the implications for policies to help stalking victims.

Stutterers' experiences on classic psychedelics: A preliminary self-report study.

Stuttering poses challenges to social, occupational, and educational aspects of life. Traditional behavioral therapies can be helpful but effects are often limited. Pharmaceutical treatments have been explored but there are no FDA-approved treatments for stuttering. Interest has grown in the potential use of classic psychedelics, including psilocybin and LSD, which have shown effectiveness in treating disorders with similar symptoms (e.g., anxiety, depression, PTSD). The potential effects of psychedelics on stuttering have not been explored. We conducted a preliminary investigation of self-identified stutterers who report their experiences taking classic psychedelics on the online messaging forum, Reddit. We qualitatively analyzed 114 publicly available posts, extracting meaningful units and assigning descriptor codes inductively. We then deductively organized responses into an established framework of psychedelics which includes behavioral, emotional, cognitive, belief-based, and social effects. These effects were subsequently grouped under organizing themes (positive, negative, neutral). Descriptive statistics revealed that the majority of users (74.0%) reported positive overall short-term effects particularly related to behavioral and emotional change (e.g., reduced stuttering and anxiety), but negative (9.6%), mixed (positive and negative; 4.8%), and neutral overall experiences (11.6%) were also reported. The results support the possibility that psychedelics may impact stuttering, but caution must be applied in their interpretation given the entirely uncontrolled research setting and potential adverse health effects of psychedelics as reported elsewhere. While these results do not encourage the use of psychedelics by stutterers, they suggest that future work could examine the impact of psychedelics on stuttering under supervised and in clinically controlled settings.

Social Media Discourse Related to Caregiving for Older Adults Living With Alzheimer Disease and Related Dementias: Computational and Qualitative Study.

BACKGROUND: In the United States, caregivers of people living with Alzheimer disease and Alzheimer disease-related dementias (AD/ADRD) provide >16 billion hours of unpaid care annually. These caregivers experience high levels of stress and burden related to the challenges associated with providing care. Social media is an emerging space for individuals to seek various forms of support. OBJECTIVE: We aimed to explore the primary topics of conversation on the social media site Reddit related to AD/ADRD. We then aimed to explore these topics in depth, specifically examining elements of social support and behavioral symptomology discussed by users. METHODS: We first generated an unsupervised topic model from 6563 posts made to 2 dementia-specific subreddit forums (r/Alzheimers and r/dementia). Then, we conducted a manual qualitative content analysis of a random subset of these data to further explore salient themes in the corpus. RESULTS: The topic model with the highest overall coherence score (0.38) included 10 topics, including caregiver burden, anxiety, support-seeking, and AD/ADRD behavioral symptomology. Qualitative analyses provided added context, wherein users sought emotional and informational support for many aspects of the care experience, including assistance in making key care-related decisions. Users expressed challenging and complex emotions on Reddit, which may be taboo to express in person. CONCLUSIONS: Reddit users seek many different forms of support, including emotional and specific informational support, from others on the internet. Users expressed a variety of concerns, challenges, and behavioral symptoms to manage as part of the care experience. The unique (ie, anonymous and moderated) nature of the forum allowed for a safe space to express emotions free from documented caregiver stigma. Additional support structures are needed to assist caregivers of people living with AD/ADRD.

User Dynamics and Thematic Exploration in r/Depression During the COVID-19 Pandemic: Insights From Overlapping r/SuicideWatch Users.

BACKGROUND: In 2023, the United States experienced its highest- recorded number of suicides, exceeding 50,000 deaths. In the realm of psychiatric disorders, major depressive disorder stands out as the most common issue, affecting 15% to 17% of the population and carrying a notable suicide risk of approximately 15%. However, not everyone with depression has suicidal thoughts. While "suicidal depression" is not a clinical diagnosis, it may be observed in daily life, emphasizing the need for awareness. OBJECTIVE: This study aims to examine the dynamics, emotional tones, and topics discussed in posts within the r/Depression subreddit, with a specific focus on users who had also engaged in the r/SuicideWatch community. The objective was to use natural language processing techniques and models to better understand the complexities of depression among users with potential suicide ideation, with the goal of improving intervention and prevention strategies for suicide. METHODS: Archived posts were extracted from the r/Depression and r/SuicideWatch Reddit communities in English spanning from 2019 to 2022, resulting in a final data set of over 150,000 posts contributed by approximately 25,000 unique overlapping users. A broad and comprehensive mix of methods was conducted on these posts, including trend and survival analysis, to explore the dynamic of users in the 2 subreddits. The BERT family of models extracted features from data for sentiment and thematic analysis. RESULTS: On August 16, 2020, the post count in r/SuicideWatch surpassed that of r/Depression. The transition from r/Depression to r/SuicideWatch in 2020 was the shortest, lasting only 26 days. Sadness emerged as the most prevalent emotion among overlapping users in the r/Depression community. In addition, physical activity changes, negative self-view, and suicidal thoughts were identified as the most common depression symptoms, all showing strong positive correlations with the emotion tone of disappointment. Furthermore, the topic "struggles with depression and motivation in school and work" (12%) emerged as the most discussed topic aside from suicidal thoughts, categorizing users based on their inclination toward suicide ideation. CONCLUSIONS: Our study underscores the effectiveness of using natural language processing techniques to explore language markers and patterns associated with mental health challenges in online communities like r/Depression and r/SuicideWatch. These insights offer novel perspectives distinct from previous research. In the future, there will be potential for further refinement and optimization of machine classifications using these techniques, which could lead to more effective intervention and prevention strategies.

Autistic Women's Experience of Motherhood: A Qualitative Analysis of Reddit.

Autistic mothers remain under-represented in parental and autism research despite the associated physical and psychosocial challenges that accompany the transition to motherhood. Extant literature suggests autistic mothers experience sensory difficulties, communication challenges, stigma, and comorbidities as difficulties, but these studies have focused on autistic women in the perinatal period. The aim of this study was to examine reflections on motherhood from a Reddit community for autistic parents. Identified themes were Autistic Mothering is Different, Autistic Mothers Need Autistic Mothers, Autistic Mothers Experience Stigma, and Learnings from Lockdown. Findings extend existing research by offering insight into the ways autism impacts mothers beyond the perinatal period and have important implications for the future design and delivery of support services for autistic mothers.

Information Sharing in Neurosurgery Topics Among Pediatric Patients and Loved Ones Within the Reddit Community.

Introduction With crowd-sourced knowledge, patients arrive at their healthcare visits ready to play an active role. This exploratory study seeks to understand common concerns among patients and loved ones on Reddit, an anonymous internet forum. Ultimately, recognizing common concerns can aid providers in directing their conversations with patients. Methods Reddit posts in the "hot" tab of each subreddit were retroactively screened from September 1, 2022. Posts written within a five-year period were included. Posts by pediatric patients, loved ones, and pregnant patients experiencing the condition or whose fetus was diagnosed were included. Posts omitting the poster's age or individuals, outside of loved ones, who self-identified as over the age of 17 were excluded. Results A total of 12 subreddits and 286 posts were identified, with 37% of posts written by patients and 63% of posts written by a loved one. R/scoliosis patients (n=29) and r/epilepsy loved ones (n=28) sought the most health advice. The subreddit r/hydrocephalus comprised the most post-operative treatment symptom questions. The r/cerebralpalsy subreddit sought the most advice related to daily activities. Discussion Patients within r/scoliosis, r/hydrocephalus, and r/epilepsy are asking health-related questions. Hydrocephalus patients utilize anonymous internet responses to prepare for upcoming healthcare visits. Individuals in r/cerebralpalsy are utilizing Reddit as a method of communication; understanding how these patients interact with social media can guide software development tailored for online interactions. The anonymity of Reddit prevents us from understanding the diversity of posters. Conclusion Reddit is an avenue to disseminate correct information to pediatric patients and loved ones. Healthcare providers can use the information gathered to tailor their discussions better.

Waiting to start abortion: A qualitative exploration of narratives of waiting shared in a Reddit community for abortion post-Dobbs leak in 2022.

With the Dobbs leak introducing uncertainty about access and the Dobbs v. Jackson Women's Health Organization decision in June of 2022 overturning the US constitutional right to abortion, delays in accessing desired abortion care are likely growing longer and more common. Timely research on people's experiences waiting to access abortion care is needed. Using data from an abortion subreddit (r/abortion), we analyzed posts that described waiting after having decided to terminate the pregnancy, either by having an in-clinic appointment or ordering medication(s) online for self-managed abortion. Our analysis explored described 1) wait time length, 2) factors contributing to waiting, and 3) impacts of waiting. We used a hybrid inductive and deductive thematic qualitative coding approach to analyze a month-stratified 10% random sample of posts to the r/abortion community in 2022 surrounding the Dobbs leak and decision (May-December, n = 523 posts). Among posts to r/abortion that described waiting to start an abortion (n = 80), wait times ranged from one day to more than a month. Lack of appointment availability and waiting for mailed medications were commonly described as causing delays in accessing in-clinic abortion care and self-managed abortion, respectively. People shared challenges with pregnancy symptoms and feelings of anxiety, fear, isolation, and uncertainty. Posters also commonly described needing additional support while waiting. Overall, waiting to start an abortion was extremely stressful and isolating., with people often waiting weeks between ordering medication or scheduling an appointment and initiating the abortion process. Experiences of waiting to start an abortion and their impacts are of increasing concern as abortion access is further restricted. Additional targeted information and support are needed to mitigate these challenges. Providing timely access is imperative to quality care and overall abortion experiences.

Unraveling the Cross-Cultural Differences in Online Expression of Social Anxiety in Online Support Communities.

Individuals suffering from social anxiety disorder (SAD) are increasingly turning to online support communities for self-disclosure and social support. Despite the extensive body of research on online mental health discourses, the cultural nuances within SAD-related discussions remain underexplored. In this study, we examine the cultural differences in online expression of social anxiety by analyzing individuals' self-disclosure and support-seeking behaviors in social media posts. Using two-week data (n = 1,681) from two SAD support communities on the Reddit and Douban groups, we used both qualitative thematic analysis and quantitative semantic analysis to discern prevalent themes and linguistic attributes characterizing these online expressions. Our findings not only uncover common themes such as sharing personal experiences and seeking mutual validations in both communities but also identify their divergences, as Western users primarily sought advice and information in posts, whereas Chinese users were more inclined toward networking. Cultural variations in language use were evident, particularly in individuals' affect and their expression of personal and social concerns. Western users were more likely to convey negative emotions and delve into personal matters related to SAD, whereas Chinese users tended to grapple more with workplace anxieties. This study contributes to the cultural understanding of online mental health discourses and offers insights for crafting culturally sensitive interventions and supports for people with SAD.

First-hand accounts of structural stigma toward people who use opioids on Reddit.

People who use opioids face multilevel stigma that negatively affects their health and well-being and drives opioid-related overdose. Little research has focused on lived experience of the structural levels of stigma toward opioid use. This study identified and qualitatively analyzed Reddit content about structural stigma toward opioid use. Iterative, human-in-the-loop natural language processing methods were used to identify relevant posts and comments from an opioid-related subforum. Ultimately, 273 posts and comments were qualitatively analyzed via directed content analysis guided by a prominent conceptualization of stigma. Redditors described how structures-including governmental programs and policies, the pharmaceutical industry, and healthcare systems-stigmatize people who use opioids. Structures were reported to stigmatize through labeling (i.e., particularly in medical settings), perpetuating negative stereotypes, separating people who use opioids into those who use opioids "legitimately" versus "illegitimately," and engendering status loss and discrimination (e.g., denial of healthcare, loss of employment). Redditors also posted robust formulations of structural stigma, mostly describing how it manifests in the criminalization of substance use, is often driven by profit motive, and leads to the pervasiveness of fentanyl in the drug supply and the current state of the overdose crisis. Some posts and comments highlighted interpersonal and structural resources (e.g., other people who use opioids, harm reduction programs, telemedicine) leveraged to navigate structural stigma and its effects. These findings reveal key ways by which structural stigma can pervade the lives of people who use opioids and show the value of social media data for investigating complex social processes. Particularly, this study's findings related to structural separation may help encourage efforts to promote solidarity among people who use opioids. Attending to first-hand accounts of structural stigma can help interventions aiming to reduce opioid-related stigma be more responsive to these stigmatizing structural forces and their felt effects.

Analyzing Reddit Forums Specific to Abortion That Yield Diverse Dialogues Pertaining to Medical Information Seeking and Personal Worldviews: Data Mining and Natural Language Processing Comparative Study.

BACKGROUND: Attitudes toward abortion have historically been characterized via dichotomized labels, yet research suggests that these labels do not appropriately encapsulate beliefs on abortion. Rather, contexts, circumstances, and lived experiences often shape views on abortion into more nuanced and complex perspectives. Qualitative data have also been shown to underpin belief systems regarding abortion. Social media, as a form of qualitative data, could reveal how attitudes toward abortion are communicated publicly in web-based spaces. Furthermore, in some cases, social media can also be leveraged to seek health information. OBJECTIVE: This study applies natural language processing and social media mining to analyze Reddit (Reddit, Inc) forums specific to abortion, including r/Abortion (the largest subreddit about abortion) and r/AbortionDebate (a subreddit designed to discuss and debate worldviews on abortion). Our analytical pipeline intends to identify potential themes within the data and the affect from each post. METHODS: We applied a neural network-based topic modeling pipeline (BERTopic) to uncover themes in the r/Abortion (n=2151) and r/AbortionDebate (n=2815) subreddits. After deriving the optimal number of topics per subreddit using an iterative coherence score calculation, we performed a sentiment analysis using the Valence Aware Dictionary and Sentiment Reasoner to assess positive, neutral, and negative affect and an emotion analysis using the Text2Emotion lexicon to identify potential emotionality per post. Differences in affect and emotion by subreddit were compared. RESULTS: The iterative coherence score calculation revealed 10 topics for both r/Abortion (coherence=0.42) and r/AbortionDebate (coherence=0.35). Topics in the r/Abortion subreddit primarily centered on information sharing or offering a source of social support; in contrast, topics in the r/AbortionDebate subreddit centered on contextualizing shifting or evolving views on abortion across various ethical, moral, and legal domains. The average compound Valence Aware Dictionary and Sentiment Reasoner scores for the r/Abortion and r/AbortionDebate subreddits were 0.01 (SD 0.44) and -0.06 (SD 0.41), respectively. Emotionality scores were consistent across the r/Abortion and r/AbortionDebate subreddits; however, r/Abortion had a marginally higher average fear score of 0.36 (SD 0.39). CONCLUSIONS: Our findings suggest that people posting on abortion forums on Reddit are willing to share their beliefs, which manifested in diverse ways, such as sharing abortion stories including how their worldview changed, which critiques the value of dichotomized abortion identity labels, and information seeking. Notably, the style of discourse varied significantly by subreddit. r/Abortion was principally leveraged as an information and outreach source; r/AbortionDebate largely centered on debating across various legal, ethical, and moral abortion domains. Collectively, our findings suggest that abortion remains an opaque yet politically charged issue for people and that social media can be leveraged to understand views and circumstances surrounding abortion.

Toxic Relationships Described by People With Breast Cancer on Reddit: Topic Modeling Study.

BACKGROUND: Social support is essential to promoting optimal health outcomes for women with breast cancer. However, an estimated 12% of women with breast cancer simultaneously experience intimate partner violence (IPV; physical, psychological, or sexual abuse by an intimate partner). Women who experience IPV during breast cancer may lack traditional social support, and thus seek out alternative sources of support. Online community forums, such as Reddit, can provide accessible social connections within breast cancer-specific communities. However, it is largely unknown how women with breast cancer use Reddit to describe and seek support for experiences of IPV. OBJECTIVE: This study aims to explore how patients with breast cancer describe toxic relationships with their partners and immediate family members on Reddit. METHODS: This exploratory, cross-sectional, topic-modeling study analyzed textual data from 96 users in the r/breastcancer subreddit in February 2023. The meaning extraction method, inclusive of principal component analysis, was used to identify underlying components. Components were subjected to sentiment analysis and summative content analysis with emergent categorical development to articulate themes. RESULTS: Seven themes emerged related to toxic relationships: (1) contextualizing storytelling with lymph nodes, (2) toxic behavior and venting emotions, (3) abandonment and abuse following diagnosis, (4) toxic relationships and social-related fears, (5) inner strength and navigating breast cancer over time, (6) assessing social relationships and interactions, and (7) community advice and support. Toxic relationships were commonly characterized by isolation, abandonment, and emotional abuse, which had profound emotional consequences for patients. Reddit facilitated anonymous venting about toxic relationships that helped patients cope with intense feelings and stress. Exchanging advice and support about navigating toxic relationships during breast cancer were core functions of the r/breastcancer community. CONCLUSIONS: Findings emphasized the value of Reddit as a source of social support for patients with breast cancer experiencing toxic relationships. Clinicians who understand that many patients with breast cancer experience toxic relationships and considerable psychological sequelae are better prepared to support their patients' holistic well-being. Further investigation of Reddit as a possible resource for advice, information, and support has the potential to help inform clinical practice and subsequently, patient health outcomes.

Coming to Voice as Total Top or Total Bottom: Autobiographical Acts and the Sexual Politics of Versatility on Reddit.

For gay, bisexual, and men who have sex with men (GBMSM), sexual versatility encompasses both insertive (top) and receptive (bottom) sexual practices. By contrast, "total top" and "total bottom" roles are often marginalized by those who advocate versatile roles for GBMSM. This article explores how GBMSM "come to voice" as total tops and total bottoms on the social media platform, Reddit. Reading posts and comments as autobiographical acts, the article analyses how total tops and bottoms assert the validity of their claim to sexual knowledge as total top or total bottom while negotiating the sexual politics of versatility on Reddit and beyond.

Facts do not speak for themselves: Community norms, dialog, and evidentiary practices in discussions of COVID-19 on Reddit.

The present study sought to explore the distinct discourse norms and evidentiary practices in discussions of COVID-19 in four subcommunities on Reddit. Qualitative analysis found that communities differed in the degree to which they reinforce and augment Reddit's platform-wide norms for dialog and evidence use. One of the three communities (r/AskTrumpSupporters) differed from the rest by establishing discourse norms for turn-taking between politically opposed users and structuring dialog around authentic questions aimed at understanding alternative points of view. Quantitative analyses revealed that this community significantly differed from the other communities in the proportion of dialogic exchanges and in the use of evidentiary practices (sourcing, source evaluation, and interpretation of evidence). Excerpts of dialog from this community are used to illustrate findings. We conclude with implications for educators interested in preparing youth to critically engage with scientific information they encounter in public discourse.

'That Sounds to Me Like You Are Making This Too Complicated ': Reflections on a Social Media Recruitment Effort for a Study on Masculinities and Contraception.

This reflection focuses on the methodological and ethical challenges encountered during the recruitment stage in a focus group and interview study that sought to investigate how men (co-)construct (their) masculinity in the context of contraception and family planning. We critically engage with the comments sections of our social media recruitment announcements and draw lessons in regard to (i) the 'correct' and socially acceptable terminology when trying to recruit men in an inclusive manner and (ii) the feasibility of our method more generally. We asked what we may learn about ourselves, our specific research project, and the conduct of research more generally when we view the ethical challenges arising during the recruitment stage as an integral part of reflexive research ethics.

Thoughts and Experiences of Behçet Disease From Participants on a Reddit Subforum: Qualitative Online Community Analysis.

BACKGROUND: Behçet disease (BD) is a type of vasculitis with relapsing episodes and multisystemic clinical features, associated with significant morbidity and impact on patients' lives. People affected by BD often participate in discussions of their illness experiences. In-person support groups have limited physical accessibility and a relative lack of anonymity; however, online communities have become increasingly popular. OBJECTIVE: This study investigates the perspectives and experiences of people affected by BD by examining the content shared and discussed on a subforum of the website Reddit-a popular online space for anonymous discussions. METHODS: All discussion threads posted between March 9, 2021, and March 12, 2022, including posts and comments, were examined from the subforum "r/Behcets," an anonymous online community of 1100 members as of March 2022. A Grounded Theory analysis was completed to identify themes and subthemes, and notable quotes were extracted from the threads. Parameters extracted from each post included the number of comments, net upvotes, category, and subcategories. Two research team members read the posts separately to identify initial codes and themes to ensure data saturation was achieved. RESULTS: Six recurring themes were identified: (1) finding connectedness and perspectives through shared experiences, (2) struggles of the diagnostic odyssey, (3) sharing or inquiring about symptoms, (4) expressing strong emotions relating to the experience of BD, (5) the impact of BD on quality of life and personal relationships, as well as (6) COVID-19 and the COVID-19 vaccination in relation to BD. Subthemes within each theme were also identified and explored. CONCLUSIONS: This novel study provides a qualitative exploration of the perspectives and experiences of people affected by BD, shared in the anonymous and accessible online community of Reddit. The study found that people impacted by an illness seek to connect and receive validation through shared conditions and experiences. By examining the content shared in r/Behcets, this study highlights the needs of people affected by BD, identifying gaps and areas for improvement in the in-person support they receive.