Conference Paper

“It's not that I don't have problems, I'm just not putting them on Facebook”: Challenges and Opportunities in Using Online Social Networks for Health

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Abstract

To understand why and how people share health information online, we interviewed fourteen people with significant health concerns who participate in both online health communities and Facebook. Qualitative analysis of these interviews highlighted the ways that people think about with whom and how to share different types of information as they pursue social goals related to their personal health, including emotional support, motivation, accountability, and advice. Our study suggests that success in these goals depends on how well they develop their social networks and how effectively they communicate within those networks. Effective communication is made more challenging by the need to strike a balance between sharing information related to specific needs and the desire to manage self-presentation. Based on these observations, we outline a set of design opportunities for future systems to support health-oriented social interactions online, including tools to help users shape their social networks and communicate effectively within those.

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... Facebook), making them unsuitable to seek emotional support for major issues. This is because users of public and semi-public systems must navigate the tension between sharing honestly about their struggles and asking for help against the positive and inviting impression they strive to develop for their social network, followers, and outsiders (e.g. a potential employer) who may search and discover their profile [3]. 1 Many kinds of emotional support systems have been implemented, recent examples include 7 Cups of Tea, BlahTherapy, and CrisisChat. 7 Cups of Tea (7cot) is a canonical, long standing example of an online emotional support service. ...
... Past works have also tried to understand how users utilize online social networks and social media to manage emotional and personal problems. to share certain types of information, especially personal or information that may be used as fodder for cyberbullies, to protect themselves and to manage their online impression [3]. on anger management, anxiety etc). ...
... Online mental health communities (OMHCs) offer a convenient way for individuals to access social support [10,45] and has been demonstrated to be helpful for alleviating their distress and fulfilling psychological needs [12,21]. The exchange of social support is a primary motivator for users to join OMHCs [14,50]. ...
... Interestingly, participants adjusted the weights of the detected keywords or specified keywords to infuse their emotions into the process of generating images, which, in turn, inspired them to re-edit the textual content in their posts. Such an interactive text-image generation process can help users strike a balance between sharing information related to specific needs and the desire to manage self-presentation in social media like OMHCs [39,45]. Our findings in Study II and Study III also indicate that generative images could enable clearer communication of support-seekers' thoughts and feelings to the support-providers, which validates the power of images for improved communication [62]. ...
Preprint
Support-seekers' self-disclosure of their suffering experiences, thoughts, and feelings in the post can help them get needed peer support in online mental health communities (OMHCs). However, such mental health self-disclosure could be challenging. Images can facilitate the manifestation of relevant experiences and feelings in the text; yet, relevant images are not always available. In this paper, we present a technical prototype named MentalImager and validate in a human evaluation study that it can generate topical- and emotional-relevant images based on the seekers' drafted posts or specified keywords. Two user studies demonstrate that MentalImager not only improves seekers' satisfaction with their self-disclosure in their posts but also invokes support-providers' empathy for the seekers and willingness to offer help. Such improvements are credited to the generated images, which help seekers express their emotions and inspire them to add more details about their experiences and feelings. We report concerns on MentalImager and discuss insights for supporting self-disclosure in OMHCs.
... Much of the work has focused on the impacts of (pseudo-)anonymity in online spaces which enables safe disclosure [3,4,7,29,95,115], together with increased chances of receiving valuable social support (such as reciprocal disclosures which can normalise the posters' experience). For example, the degree of anonymity has been linked to the differential expectations on personal impression management, such as in the ratio of 'positive' (e.g., reporting on successes in face of challenges) vs 'negative' (e.g., requests for support) posts, with (pseudo-)anonymous communities more conducive to asking for-and receiving-help (cf., [1,95]. ...
... Much of the work has focused on the impacts of (pseudo-)anonymity in online spaces which enables safe disclosure [3,4,7,29,95,115], together with increased chances of receiving valuable social support (such as reciprocal disclosures which can normalise the posters' experience). For example, the degree of anonymity has been linked to the differential expectations on personal impression management, such as in the ratio of 'positive' (e.g., reporting on successes in face of challenges) vs 'negative' (e.g., requests for support) posts, with (pseudo-)anonymous communities more conducive to asking for-and receiving-help (cf., [1,95]. ...
Article
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Early parenting is one of the strongest predictors of child well-being. Online social communities have shown promise in supporting parents across a range of contexts. However, we only have a limited understanding of how posters and commenters interact within a forum, or how well commenter responses can support complex parenting questions, such as attempts to change a child's behaviour or to apply new parenting approaches. We start addressing this gap by combining an empirical analysis of 1 year of parent posts from an exemplar online forum (Mumsnet) with literature on parenting interventions from psychology. In particular, we examine the types of question parents of 2-5 year olds seek help for around their children's behaviour, and the challenges with the support that they do (or do not) receive from the Mumsnet community. Combining empirical and theory-driven insights, we outline an 'information-to-application' gap that conceptually underpins the difficulties observed, and suggest plausible research directions that could address such design problems.
... Arousing support, impulse, accountability, and advice are a spread of the private uses for social media in health information that are identified. However, it has been demonstrated that people don't frequently use social media or social networking websites for these purposes, with social media reaching only a little percentage of all users trying to seek out health information (Newman, Lauterbach, Munson, Resnick, & Morris, 2011). ...
... Users could even be more likely to debate and communicate about various health topics if social media is used in this way. Creating appealing broadcast platforms for organizations and businesses (Newman, Lauterbach, Munson, Resnick, & Morris, 2011). ...
... Disclosure, especially when it relates to stigmatized conditions such as mental health status, can be beneficial, in that it gives people an opportunity to express emotions and develop personal relationships; however, it can also be harmful if the confidant has a negative reaction [9]. The work on self-disclosure is extensive, and multiple theories around self-disclosure exist [10][11][12]. ...
... In addition to work applying NLP, AI, and HCI techniques to understand mental health, we are also inspired by a body of work on self-disclosure. Concerns of impression management can inhibit other goals surrounding self-disclosure (emotional support, accountability, motivation, advice), especially on public social media forums that are linked to real-life identities [10]; still, researchers have found evidence of intimate self-disclosures on both anonymous and identified social media. ...
Article
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As social media has proliferated, a key aspect to making meaningful connections with people online has been revealing important parts of one’s identity. In this work, we study changes that occur in people’s language use after they share a specific piece of their identity: a depression diagnosis. To do so, we collect data from over five thousand users who have made such a statement, which we refer to as an identity claim. Prior to making a depression identity claim, the Reddit user’s language displays evidence of increasingly higher rates of anxiety, sadness, and cognitive processing language compared to matched controls. After the identity claim, these language markers decrease and more closely match the controls. Similarly, first person singular pronoun usage decreases following the identity claim, which was previously previously found to be indicative of self-focus and associated with depression. By further considering how and to whom people express their identity, we find that the observed longitudinal changes are larger for those who do so in ways that are more correlated with seeking help (sharing in a post instead of a comment; sharing in a mental health support forum). This work suggests that there may be benefits to sharing one’s depression diagnosis, especially in a semi-anonymous forum where others are likely to be empathetic.
... The feeling of relatedness is not limited to direct relationships and can appear online. For example, researchers have demonstrated the positive effect of social media health platforms on relatedness (72). Similarly, positive and encouraging comments have been observed to increase engagement and the promotion of relatedness in behavior change activities (15). ...
Article
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Background To fight sedentary lifestyles, researchers have introduced various technological interventions aimed at promoting physical activity through social support. These interventions encourage people to exercise together, maintaining high levels of motivation. However, the unpredictable nature of human peers makes it challenging to control behavior and balance these interventions effectively. Artificial intelligence agents, on the other hand, can provide consistent social support and are more controllable. Hence, we propose Simulated Exercising Peers (SEPs) as a promising solution for providing agent-based social support for physical activity. Method Participatory design sessions were conducted, involving young adults in the creation of SEP-based interventions. Sixteen participants generated four prototypes that varied in aesthetics, behavior, and communication style, with outcomes analyzed through the lens of Self-Determination Theory to better understand the motivational implications of each design. Results Findings highlight key components crucial for designing SEPs that enhance acceptance and efficiently integrate into physical activity interventions. Additionally, the study revealed how the aesthetics and behavior of SEPs could potentially deceive users, which can lead to user disengagement from interventions involving SEPs. Participants also defined two distinct social roles for the SEPs, i.e., coach, and companion, each associated with unique communication styles. Conclusion This study offers five design guidelines for the development of SEPs, AI agents aimed at promoting physical activity through social support, and highlights opportunities for their integration into broader physical activity interventions.
... However, relatively few studies have used these methods to explore communication cues presented within live crowdfunding on short-video platforms. Previous research has examined the self-presentation strategies of individuals facing hardship, describing how they emphasize positivity and express their concerns anonymously (De Choudhury and De, 2014;Newman et al., 2011), and how they navigate expectations in asynchronous medical crowdfunding (Kim et al., 2018). Unlike traditional web-based fundraising platforms, live crowdfunding operates within a richer medium where fundraisers can talk with the audience in real time. ...
Article
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Introduction. The combination of Live streaming and E-commerce also offers opportunities for people whose family members are severely ill, disabled, or old and facilitates their ability to raise funds by selling commodities and receiving virtual gifts. Unlike other streamers, hardship live streamers are driven by unique motivations and may employ distinct self-presentation techniques. Method. We analysed TikTok video clips and sales data from 14 male and female hardship streamers. Analysis. We used both quantitative and qualitative analyses of the data, including topic modelling, sentiment analysis, and thematic content analysis. Results. We found that 1) hardship streamers used multi-modal cues to facilitate interactivity and authenticity, as they emphasized their hardship and promoted the product; 2) higher literacy level of the streamers and the use of a positive tone positively correlated with better sales; 3) hardship storytelling positively correlated with the time the audience stayed in their live streaming sessions; and 4) females focused more on their hardships, used a more negative tone, and talked faster than males. Conclusion. We provide a unique understanding of the effectiveness of self-presentation strategies used by marginalized live streamers in raising funds on TikTok.
... While past literature mainly focuses on the resistance tactics employed by gig workers, our paper examines the countermeasures used by workers across multiple types of employment, including remote workers, call center workers, and data workers. In line with other studies that focus on sensitive topics such as mental health, addiction, and pregnancy loss, we chose to study forums on Reddit due to its support for anonymous disclosure [13-15, 54, 121], which helps people talk about sensitive or stigmatized topics without having to disclose their real identity [96,121]. Researchers also have looked to Reddit to understand the experiences of gig workers, since online communities have been crucial for gig workers to share knowledge and build community despite the distributed nature of their work [36,101,109]. ...
Preprint
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With the rise of remote work, a range of surveillance technologies are increasingly being used by business owners to track and monitor employees, raising concerns about worker rights and privacy. Through analysis of Reddit posts and in-depth semi-structured interviews, this paper seeks to understand how workers across a range of sectors make sense of and respond to layered forms of surveillance. While workers express concern about risks to their health, safety, and privacy, they also face a lack of transparency and autonomy around the use of these systems. In response, workers take up tactics of everyday resistance, such as commiserating with other workers or employing technological hacks. Although these tactics demonstrate workers' ingenuity, they also show the limitations of existing approaches to protect workers against intrusive workplace monitoring. We argue that there is an opportunity for CSCW researchers to support these countermeasures through worker-led design and policy.
... Specifically, after individuals share fitness-related health information, it involves details about fitness goals, achievements, and challenges, which may help garner social support, thereby promoting further use of such information on social media (72). Secondly, relatedness needs might drive individuals to share personal health achievements, workout plans, and physical changes on social media to establish resonance and comparison (73). Finally, users may lean toward social identification with fitness-related information or perspectives within the framework of relatedness needs, conforming to the expectations of social groups (74). ...
Article
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Introduction The role of social media in providing fitness-related health information has been widely discussed; however, there is a notable lack of research on fitness-related health information behaviors among youth within the social media context. This study aims to address this gap by integrating Self-Determination Theory (SDT)-based internal factors and external factors (social media algorithms and source credibility). Methods A voluntary sample of 600 participants, aged 15 to 29, was recruited. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the relationships between variables. Results The analysis revealed that all three intrinsic needs—competence, autonomy, and relatedness—along with social media algorithms and source credibility, positively correlated with fitness-related health information use behaviors among youth. Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. Discussion These findings provide new insights into developing health communication strategies on social media, particularly targeted toward the youth demographic, enhancing our understanding of effective health information dissemination in digital environments.
... Prior literature extensively explores linguistic behaviors and conversational choices users make in online mentalhealth-related platforms, whether in crisis counseling platforms (Althoff et al., 2016;Zhang and Danescu-Niculescu-Mizil, 2020), peer-support platforms (Yang et al., 2017;Pruksachatkun et al., 2019;Yang and Jurgens, 2024), or therapy platforms (Malgaroli et al., 2023b). Accompanying growing attention to online mental-health resources and use of technology in psychotherapy (Anthony, 2003;Barak et al., 2008), many studies highlighted the benefits of online social support (De Choudhury and Kıcıman, 2017;Newman et al., 2011). We specifically focus on long-term sustained relationships in text-based therapy platforms, offering a novel perspective on development of the patienttherapy relation through longitudinal analyses. ...
... Indeed, online sensitive disclosures can be beneficial in finding community and connection. For example, Newman et al. (2011) found that sharing weight loss and diabetes struggles in Facebook groups provided emotional support, advice, motivation, and accountability. Similarly, Pyle et al. (2023) showed that college applicants disclosing their first-generation, low-income status on platforms like Instagram, Reddit, and Discord received support that enhanced their success in higher education. ...
Article
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Despite the growing body of research on people disclosing sensitive details about their identities or experiences online, few studies have focused on how individuals with intersecting stigmas manage these disclosures. Those facing multiple, overlapping sources of discrimination may encounter compounded challenges, which can complicate their assessment of the perceived benefits and risks of disclosure. This study seeks to understand disclosure among individuals with intersecting stigmas by examining how queer-identifying individuals in Mumbai, India, navigate the intersection of queerness and mental health disclosures on social media. Based on qualitative findings from 35 interviews, we identify three key factors that can further enhance existing disclosure frameworks. First, the perceived risk of disclosure can be amplified by intersecting sources of stigma, such that people may be particularly wary of disclosing at all, and especially on social media. Second, the importance of community support and resources for those with intersecting stigmas can increase their focus on the communal benefits of disclosure. Third, prior experiences with disclosing stigma on particular social platforms can affect the perceived safety of disclosing on those platforms and influence the strategies used. We discuss the implications of these findings and suggest areas for further investigation to develop a more comprehensive disclosure framework for those with intersecting stigmas.
... Prior literature extensively explores linguistic behaviors and conversational choices users make in online mentalhealth-related platforms, whether in crisis counseling platforms (Althoff et al., 2016;Zhang and Danescu-Niculescu-Mizil, 2020), peer-support platforms (Yang et al., 2017;Pruksachatkun et al., 2019;Yang and Jurgens, 2024), or therapy platforms (Malgaroli et al., 2023b). Accompanying growing attention to online mental-health resources and use of technology in psychotherapy (Anthony, 2003;Barak et al., 2008), many studies highlighted the benefits of online social support (De Choudhury and Kıcıman, 2017;Newman et al., 2011). We specifically focus on long-term sustained relationships in text-based therapy platforms, offering a novel perspective on development of the patienttherapy relation through longitudinal analyses. ...
Preprint
Mental-health therapy involves a complex conversation flow in which patients and therapists continuously negotiate what should be talked about next. For example, therapists might try to shift the conversation's direction to keep the therapeutic process on track and avoid stagnation, or patients might push the discussion towards issues they want to focus on. How do such patient and therapist redirections relate to the development and quality of their relationship? To answer this question, we introduce a probabilistic measure of the extent to which a certain utterance immediately redirects the flow of the conversation, accounting for both the intention and the actual realization of such a change. We apply this new measure to characterize the development of patient-therapist relationships over multiple sessions in a very large, widely-used online therapy platform. Our analysis reveals that (1) patient control of the conversation's direction generally increases relative to that of the therapist as their relationship progresses; and (2) patients who have less control in the first few sessions are significantly more likely to eventually express dissatisfaction with their therapist and terminate the relationship.
... attitudes, which have been found among the general public [15,29,102], law enforcement [12,103], and victimsurvivors' friends and family [88]. Online help-seekers for topics such as health often look for specific advice or information, acknowledgement, or sympathy [3,37,68]. Prior work also studies online help-seeking for sexual abuse (e.g., rape); by contrast, our work considers online help-seeking for image-based sexual abuse. When disclosing online about sexual abuse (that was not image-based), victim-survivors perceived online fora as safer spaces to disclose stigmatized experiences and connect with others, with reduced interpersonal risk [1,2,50,66,72]. ...
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Image-based sexual abuse (IBSA), like other forms of technology-facilitated abuse, is a growing threat to people's digital safety. Attacks include unwanted solicitations for sexually explicit images, extorting people under threat of leaking their images, or purposefully leaking images to enact revenge or exert control. In this paper, we explore how people seek and receive help for IBSA on social media. Specifically, we identify over 100,000 Reddit posts that engage relationship and advice communities for help related to IBSA. We draw on a stratified sample of 261 posts to qualitatively examine how various types of IBSA unfold, including the mapping of gender, relationship dynamics, and technology involvement to different types of IBSA. We also explore the support needs of victim-survivors experiencing IBSA and how communities help victim-survivors navigate their abuse through technical, emotional, and relationship advice. Finally, we highlight sociotechnical gaps in connecting victim-survivors with important care, regardless of whom they turn to for help.
... Another characteristic of health-related information is that it is often presented through personal health stories, motivated by the need to find people with shared experiences and the desire for social support or, to some extent, for self-presentation purposes [97,113,122]. Consequently, health-related information in social media often includes opinions and personal experiences [63]. These are difficult to mark as "true" or "fake, " even when any treatments that are mentioned contradict expert consensus. ...
Preprint
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Health misinformation, defined as health-oriented information that contradicts empirically supported scientific findings, has become a significant concern on social media platforms. In response, platforms have implemented diverse design solutions to block such misinformation or alert users about its potential inaccuracies. However, there is limited knowledge about users' perceptions of this specific type of misinformation and the actions that are necessary from both the platforms and the users themselves to mitigate its proliferation. This paper explores social media users' (n = 22) perceptions of health misinformation. On the basis of our data, we identify specific types of health misinformation and align them with user-suggested countermeasures. We point to the critical demands for anti-misinformation solutions for health topics, emphasizing the transparency of information sources, immediate presentation of information, and clarity. Building on these findings, we propose a series of design recommendations to aid the future development of solutions aimed at counteracting misinformation.
... While researchers have also explored integrating multiple sources of data, these similarly focus on deriving insights that are relevant to a singular dimension, i.e., health [59] or wellbeing [4]. PI researchers have also considered how self-tracking systems can hold individuals accountable for their behavior change goals [31] through the social accountability that manifests through publicly posting one's own tracked data [78,81,112], the support they receive from posting [20,28,78], and in-app rankings [39]. In contrast, our findings illustrate that gig workers employ self-tracking to simultaneously manage a broad spectrum of accountabilities that extend beyond holding oneself responsible for behavioral change goals. ...
Conference Paper
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Tracking is inherent in and central to the gig economy. Platforms track gig workers' performance through metrics such as acceptance rate and punctuality, while gig workers themselves engage in self-tracking. Although prior research has extensively examined how gig platforms track workers through metrics -- with some studies briefly acknowledging the phenomenon of self-tracking among workers -- there is a dearth of studies that explore how and why gig workers track themselves. To address this, we conducted 25 semi-structured interviews, revealing how gig workers self-tracking to manage accountabilities to themselves and external entities across three identities: the holistic self, the entrepreneurial self, and the platformized self. We connect our findings to neoliberalism, through which we contextualize gig workers' self-accountability and the invisible labor of self-tracking. We further discuss how self-tracking mitigates information and power asymmetries in gig work and offer design implications to support gig workers' multi-dimensional self-tracking.
... For instance, Hobfoll and colleagues (Hobfoll, Nadler, & Leiberman, 1986;Hobfoll, Shoham, & Ritter, 1991) have shown that intimacy fuels emotional support independently of social network parameters. Intimacy as a precondition of transacting emotional support may limit SNS users' willingness to pose requests for emotional support to their online friends (Newman, Lauterbach, Munson, Resnick, & Morris, 2011). The collapse of contexts requires a request for emotional support to fit to very different recipients from different social groups and with a variety of role expectations (Nissenbaum, 2010;Vitak, 2012). ...
Preprint
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People around the globe now regularly interact with family and friends through social network sites (SNSs). In the present paper, we investigated the differences between social interactions in online and offline contexts as well as users’ satisfaction with the social support received in these contexts. It was hypothesized that SNSs are better set up for the task of leveraging informational support, but that they are inferior to offline contexts in terms of emotional or instrumental support. We further assumed that users might feel similarly satisfied with how support is rendered online and offline, but that only social support transacted in offline contexts would contribute to overall life satisfaction. All hypotheses were supported by longitudinal data (N = 327) that were used to investigate social support over the course of 2 years with four points of measurement.
... Media interactions influence and shape interpersonal relationships, and the use of both traditional mass media and new media has positive implications for the accumulation of social capital among audiences (58). Social media, with the original intention of creating connections, not only deepens the maintenance of strong relationships but also provides a new ground for the establishment of weak relationships (59), becoming an important way for people to maintain social connections. In addition to building relationships, using social media for social interactions such as liking, commenting, and sharing can increase social capital (60). ...
Article
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Correction is an important tool to reduce the negative impact of health misinformation on social media. In the era of “I share, therefore I am” social media, users actively share corrective information to achieve the “anti-convincing” effect of health misinformation. Focusing on the local Chinese context, this study constructs a structural equation model using social capital as a mediating variable to explore whether usage of Chinese users’ social media can promote corrective information sharing by influencing the structural, cognitive, and relational dimensions of social capital and the role of health literacy in corrective information sharing. It was found that social media use did not significantly affect corrective information share willingness but significantly influenced share willingness through social interaction connections, trust, and shared experiences, and share willingness significantly influenced sharing behavior. The moderating effect showed that health literacy played a significant moderating effect in the influence of corrective information share willingness on sharing behavior. This study introduces the three dimensions of social capital at the theoretical level and finds that users will share corrective information for the purpose of social capital accumulation. It also provides empirical evidence for specific practices, including improving users’ health literacy and actively mobilizing them to participate in the blocking and management of health misinformation in social media.
... The anonymity of subreddits as online communities makes them a particularly revealing and valuable source of information regarding the thoughts and emotionally engaged perspectives of internet users on the topics of discussion. This is especially apparent when compared to platforms like Facebook, which displays the names and identities of the users [16,17]. Additionally, unlike some online platforms like Twitter, Reddit does not have a limitation on the word or character count of each post, allowing users to express themselves more freely. ...
Article
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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.
... In contrast, Reddit is often used to discuss experiences with mental illness and share specific health information; for example, Reddit users may seek a diagnosis or treatment [15]. In contrast, Facebook updates can raise concerns about privacy, prompting individuals to share more positive news and information [28]. ...
Article
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Background Artificial intelligence chatbot research has focused on technical advances in natural language processing and validating the effectiveness of human-machine conversations in specific settings. However, real-world chat data remain proprietary and unexplored despite their growing popularity, and new analyses of chatbot uses and their effects on mitigating negative moods are urgently needed. Objective In this study, we investigated whether and how artificial intelligence chatbots facilitate the expression of user emotions, specifically sadness and depression. We also examined cultural differences in the expression of depressive moods among users in Western and Eastern countries. Methods This study used SimSimi, a global open-domain social chatbot, to analyze 152,783 conversation utterances containing the terms “depress” and “sad” in 3 Western countries (Canada, the United Kingdom, and the United States) and 5 Eastern countries (Indonesia, India, Malaysia, the Philippines, and Thailand). Study 1 reports new findings on the cultural differences in how people talk about depression and sadness to chatbots based on Linguistic Inquiry and Word Count and n-gram analyses. In study 2, we classified chat conversations into predefined topics using semisupervised classification techniques to better understand the types of depressive moods prevalent in chats. We then identified the distinguishing features of chat-based depressive discourse data and the disparity between Eastern and Western users. Results Our data revealed intriguing cultural differences. Chatbot users in Eastern countries indicated stronger emotions about depression than users in Western countries (positive: P<.001; negative: P=.01); for example, Eastern users used more words associated with sadness (P=.01). However, Western users were more likely to share vulnerable topics such as mental health (P<.001), and this group also had a greater tendency to discuss sensitive topics such as swear words (P<.001) and death (P<.001). In addition, when talking to chatbots, people expressed their depressive moods differently than on other platforms. Users were more open to expressing emotional vulnerability related to depressive or sad moods to chatbots (74,045/148,590, 49.83%) than on social media (149/1978, 7.53%). Chatbot conversations tended not to broach topics that require social support from others, such as seeking advice on daily life difficulties, unlike on social media. However, chatbot users acted in anticipation of conversational agents that exhibit active listening skills and foster a safe space where they can openly share emotional states such as sadness or depression. Conclusions The findings highlight the potential of chatbot-assisted mental health support, emphasizing the importance of continued technical and policy-wise efforts to improve chatbot interactions for those in need of emotional assistance. Our data indicate the possibility of chatbots providing helpful information about depressive moods, especially for users who have difficulty communicating emotions to other humans.
... In contrast, Reddit is often used to discuss experiences with mental illness and share specific health information; for example, Reddit users may seek a diagnosis or treatment [15]. In contrast, Facebook updates can raise concerns about privacy, prompting individuals to share more positive news and information [28]. ...
Preprint
BACKGROUND Research into AI chatbots has primarily focused on technical advances and validating their effectiveness at decreasing depression symptoms and increasing user engagement. However, real-world chat conversations related to depressive moods remain unexplored. Therefore, further analysis of the uses and effects of chatbots is urgently required. OBJECTIVE Here we investigate whether and how chatbots facilitate the expression of user emotions, specifically sadness, and depression. We also examine cultural differences in the expression of depressive moods among Western and Eastern chatbot users. METHODS The study used SimSimi, the world's largest open-domain social chatbot, to analyze 152,783 conversation utterances containing the terms "depress" and "sad" in three Western countries (Canada, the United Kingdom, and the United States) and five Eastern countries (Indonesia, India, Malaysia, the Philippines, and Thailand). The Linguistic Inquiry and Word Count (LIWC) and N-gram techniques were used to compare cultural variations (Study 1). A semi-supervised learning method was also used to determine the most prevalent categories of depressive mood in chatbots (Study 2). RESULTS We find that chatbots can provide helpful information in discussions about depressive moods, especially for users who have difficulty communicating emotions to other humans. Individuals are more likely to express emotional vulnerability related to depressive or sad moods to chatbots (50%) than on social media (8%). Eastern users tend to send more emotionally intense messages, both positive and negative, than Western users when using chatbots (positive = p< .001, negative = p< .05). For example, eastern users use more words associated with sadness (p< .05). However, western users use more words related to vulnerable topics such as mental health (p< .001). This group also has a greater tendency to break taboos, such as using swear (p< .001) and discussing death (p< .001). Chatbot conversations tend not to broach topics that require social support from others, such as seeking advice on daily life difficulties, unlike social media conversations that often include such discussions. However, chatbot users seem to want conversational agents that exhibit active listening skills and foster a safe space where they can openly share emotional states such as sadness or depression. We observe that user seek help for depressive moods, share emotional messages, and seek information related to depression with the chatbot. CONCLUSIONS The findings highlight the potential for chatbot-assisted mental health support, emphasizing the importance of continued academic efforts to improve chatbot interactions for those in need of emotional assistance. Chatbots are potentially an economical, user-friendly, and patient-centered digital platform for mental health care providers, especially as the pandemic has left longer-term mental health issues. CLINICALTRIAL Not available
... However, for health-related topics, including both accurate information and misinformation, altruistic motivation emerges as one of the primary factors influencing sharing behavior [4,46]. In relation to this, sharing health-related information in social networks often takes the form of personal stories, motivated by the search for people with shared experiences and seeking social support [35,40] or, to some extent, for self-presentation purposes [29]. That means, in many cases, health-related information in social networks incorporates opinion-based features and personal experiences, which makes it difficult to be marked as "true" or "false, " even if the mentioned treatments contradict expert consensus. ...
Conference Paper
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Health misinformation in social networks requires immediate attention due to its severe consequences, as exemplified by the COVID-19 pandemic response on social media. However, the existing solutions designed to combat misinformation generally overlook the unique characteristics of health misinformation domain. Through a review of relevant literature and a critical analysis of current anti-misinformation solutions, we have identified significant user-side issues that undermine the effectiveness of existing approaches in addressing health misinformation. To tackle these issues, we put forth several strategies to empower users in combating health misinformation. Our research contributes to understanding the challenges associated with health misinformation correction on social networks.
... Reddit was chosen as a platform because it allows anonymous profiles, enabling honest conversations (Choudhury and De, 2014;Ammari et al., 2019) that would be difficult to have on other social media sites (Newman et al., 2011). Despite the fact that Reddit posts are not accompanied by formal clinical diagnoses, Reddit has several advantages over traditional mental health datasets. ...
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Introduction The purpose of this study was to use text-based social media content analysis from cancer-specific subreddits to evaluate depression and anxiety-loaded content. Natural language processing, automatic, and lexicon-based methods were employed to perform sentiment analysis and identify depression and anxiety-loaded content. Methods Data was collected from 187 Reddit users who had received a cancer diagnosis, were currently undergoing treatment, or had completed treatment. Participants were split according to survivorship status into short-term, transition, and long-term cancer survivors. A total of 72524 posts were analyzed across the three cancer survivor groups. Results The results showed that short-term cancer survivors had significantly more depression-loaded posts and more anxiety-loaded words than long-term survivors, with no significant differences relative to the transition period. The topic analysis showed that long-term survivors, more than other stages of survivorship, have resources to share their experiences with suicidal ideation and mental health issues while providing support to their survivor community. Discussion The results indicate that Reddit texts seem to be an indicator of when the stressor is active and mental health issues are triggered. This sets the stage for Reddit to become a platform for screening and first-hand intervention delivery. Special attention should be dedicated to short-term survivors.
... This interactivity is characterized by two features: user control and two-way communication (Sreejesh et al., 2020). User control allows consumers to selectively browse and access social media information by swiping, tapping, and sharing (Newman et al., 2011). Two-way communication allows for real-time conversation between users, including brands and their audiences (Sreejesh et al., 2020). ...
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Purpose — The study aimed to analyze the content on Instagram and to examine the relationship between the content categories and the reach and impressions of the posts.Method — This study analyzed 58 content posts from the Instagram account @Generasi_kenzu using purposive sampling, divided into five categories and measured based on accounts reached and impressions, using descriptive statistics, a Kolmogorov-Smirnov test for normality, and a Kruskal-Wallis test for comparison of mean reach and impressions across the categories.Result — The content analysis revealed that promotion was the most prevalent category, followed by information and education, with a mean reach of 64.22 and a significant proportion of views from the user's profile, and found hashtags to be an effective method of increasing visibility, though with a considerable degree of variation among individual posts. The Kruskal-Wallis test showed no significant difference in the distribution of accounts reached, reach from follower, reach from non-follower, impressions, from profile, from hashtags, from home and from other across the five content categories.Contribution — This study contributes by adding knowledge about content categories' effectiveness on social media platforms, providing valuable insights into content and reach of Instagram posts, and suggesting the need for further research to explore impacting factors.
... Social networking sites, or web-based platforms designed to build social relationships, allow people to share experiences, ask questions, and seek support from others within a web-based community. Some scientists and experts argue that the anonymous nature of certain platforms makes them uniquely appealing to individuals who are seeking information about sensitive or stigmatized concerns like contraception [31][32][33][34][35] and may lead to the promotion of more authenticity and openness than other identifiable platforms or in-person interactions [36][37][38]. Web-based social communication may therefore be an important and rich source of data for studying contraceptive decision-making, needs, and preferences. Current research indicates that social networking sites are an important avenue for reproductive-age individuals to access information about sexual health, including contraceptive options. ...
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Background: Contraceptive choice is central to reproductive autonomy. The internet, including social networking sites like Reddit, is an important resource for people seeking contraceptive information and support. A subreddit dedicated to contraception, r/birthcontrol, provides a platform for people to post about contraception. Objective: This study explored the use of r/birthcontrol, from the inception of the subreddit through the end of 2020. We describe the web-based community, identify distinctive interests and themes based upon the textual content of posts, and explore the content of posts with the most user engagement (ie, "popular" posts). Methods: Data were obtained from the PushShift Reddit application programming interface from the establishment of r/birthcontrol to the start date of analysis (July 21, 2011, to December 31, 2020). User interactions within the subreddit were analyzed to describe community use over time, specifically the commonality of use based on the volume of posts, the length of posts (character count), and the proportion of posts with any and each flair applied. "Popular" posts on r/birthcontrol were determined based on the number of comments and "scores," or upvotes minus downvotes; popular posts had 9 comments and a score of ≥3. Term Frequency-Inverse Document Frequency (TF-IDF) analyses were run on all posts with flairs applied, posts within each flair group, and popular posts within each flair group to characterize and compare the distinctive language used in each group. Results: There were 105,485 posts to r/birthcontrol during the study period, with the volume of posts increasing over time. Within the time frame for which flairs were available on r/birthcontrol (after February 4, 2016), users applied flairs to 78% (n=73,426) of posts. Most posts contained exclusively textual content (n=66,071, 96%), had comments (n=59,189, 86%), and had a score (n=66,071, 96%). Posts averaged 731 characters in length (median 555). "SideEffects!?" was the most frequently used flair overall (n=27,530, 40%), while "Experience" (n=719, 31%) and "SideEffects!?" (n=672, 29%) were most common among popular posts. TF-IDF analyses of all posts showed interest in contraceptive methods, menstrual experiences, timing, feelings, and unprotected sex. While TF-IDF results for posts with each flair varied, the contraceptive pill, menstrual experiences, and timing were discussed across flair groups. Among popular posts, intrauterine devices and contraceptive use experiences were often discussed. Conclusions: People commonly wrote about contraceptive side effects and experiences using methods, highlighting the value of r/birthcontrol as a space to post about aspects of contraceptive use that are not well addressed by clinical contraceptive counseling. The value of real-time, open-access data on contraceptive users' interests is especially high given the shifting landscape of and increasing constraints on reproductive health care in the United States.
... Una de las que cobra más fuerza y necesita de mayor estudio se relaciona con el tipo de contenidos que suelen publicarse en las redes y las reacciones que esto genera. Por ejemplo, en redes como Facebook, las personas tienden a presentarse de un modo excesivamente virtuoso (Kross et al., 2013;Mehdizadeh, 2010;Newman et al., 2011), esto es, resaltan los aspectos positivos (logros) con mayor frecuencia que los negativos (fracasos) (Kross et al., 2013). Por lo tanto, exponerse continuamente a contenidos positivos sobre los demás tendería a provocar envidia, una emoción comúnmente asociada a malestar y bajos niveles de bienestar (Salovey y Rodin, 1984;Smith y Kim, 2007). ...
... Social networking sites, or web-based platforms designed to build social relationships, allow people to share experiences, ask questions, and seek support from others within a web-based community. Some scientists and experts argue that the anonymous nature of certain platforms makes them uniquely appealing to individuals who are seeking information about sensitive or stigmatized concerns like contraception [31][32][33][34][35] and may lead to the promotion of more authenticity and openness than other identifiable platforms or in-person interactions [36][37][38]. Web-based social communication may therefore be an important and rich source of data for studying contraceptive decision-making, needs, and preferences. Current research indicates that social networking sites are an important avenue for reproductive-age individuals to access information about sexual health, including contraceptive options. ...
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BACKGROUND Contraceptive choice is central to reproductive autonomy, and the internet, including online communities like those formed on Reddit, is an important resource for people seeking contraceptive information and peer support. A subreddit dedicated to contraception, r/birthcontrol, provides a platform for people to share narratives, offering real-time insights in contraceptive decision-making processes and use experiences. OBJECTIVE This study explored use of r/birthcontrol, from the inception of the subreddit through the end of 2020, to describe the online community, identify distinctive interests and themes based upon the textual content of posts, and identify and explore the content of posts with the most user engagement (i.e. ‘popular’ posts). METHODS Data were obtained from the PushShift Reddit API from the establishment of r/birthcontrol to the start date of this analysis (July 21, 2011-December 31, 2020). User interactions within the subreddit were analyzed to describe use of this community over time, specifically the commonality of use based on the volume of posts, the length of posts (character count), and the proportion of posts with any and each flair applied. ‘Scores’, or upvotes minus downvotes serving as a proxy for the popularity of each post, were used to determine ‘popular’ posts on r/birthcontrol (posts with 9 comments and a score of ≥3). TF-IDF analyses were run on all posts with flairs applied, posts within each flair group, and popular posts within each flair group to characterize and compare distinctive language used in each group of posts. RESULTS There were 105,485 posts to r/birthcontrol during the study period, with use of the subreddit increasing over time. The majority of posts were exclusively textual content (96%), had comments (86%), and had a score (96%). Posts averaged 731 characters in length, with a median of 555 characters. Within the timeframe that flairs were available on r/birthcontrol (since February 4, 2016), users applied flairs to 78% of posts with increasing use over time. “SideEffects?” was most frequently used flair among all posts (40% of posts), while “Experience” and “Side Effects” were most frequently applied among popular posts (31% and 29%, respectively). TF-IDF analyses of all posts showed interest in contraceptive methods, menstrual experiences, timing, feelings, and unprotected sex. While n-gram results for posts with each flair varied, the contraceptive pill, menstrual experiences, and timing were discussed across flair groups. Among popular posts, IUDs and contraceptive use experiences were often discussed. CONCLUSIONS This study provides insights into how r/birthcontrol has been used as a resource for contraceptive information and support since 2018 and presents a case study of how public health researchers can use Machine Learning methods to study social networking sites, contributing to and expanding public health research and discourse.
... Social networks have deeply shaped our daily lives, our relationships, and our connections to friends and families [8][9][10][11]. Complex systems and network analysis [12][13][14][18][19][20][21] have proved to be a very powerful tool to discover and analyze network behaviors in many different field. In social networks, in particular, social experiments and network theory have created a strong tie, to understand human behaviours and trends. ...
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The analysis of social networks, can lead to important discoveries concerning society and trends. Can in fact imply the discovery of several new aspects of social behavior, as well as understanding the interest behind certain topics. Facebook, is now used worldwide, by approximately 3 billions of users, and has become one of the main sources of information. For analyzing facebook data, not only worldwide scales are important, but it is crucial to interpret local data behavior. In this paper we address and analyse Facebook at a regional dimensionality of Facebook, and evaluate the properties of regional Facebook as a small world network. To do this, we propose a novel approach a novel experimental setup, to simulate worldwide known Milgram six degrees of separation experiment. The novel repeated sampling random procedure proposed to reproduce the Milgram experiment showed promising and interesting results, allowing to evaluate the regional Facebook scale.
... Big data are free from this concern as data are usually collected as a by-product of another process, meaning answers may be a more accurate reflection of a person's behaviour. However, just because data are collected this way does not necessarily mean they reflect 'natural processes', especially when considering an online activity that may not always be genuine (Newman et al., 2011;Salagnik, 2018). ...
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Recent computing power and storage advancements have meant more data are being collected and stored. Referred to as 'Big data', these data sources offer researchers myriad opportunities to make observations about the social world. These data can be massive, provide insight into whole populations rather than just a sample, and be used to analyse social behaviour in real time. Administrative data, a subcategory under the big data umbrella, also offers researchers abundant opportunities to conduct highly relevant research in many areas, including sociology, social policy, education, health studies and many more. This paper offers reflections on social research during the digital age by examining different forms of data, both 'big' and 'small', and their associated advantages and disadvantages. The paper concludes by suggesting that although big data has some promising elements, it also comes with some limitations and povwill not replace 'traditional' social surveys. And yet, when used in conjunction with social surveys, appropriately and ethically, big data could offer the researchers additional valuable insights.
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Pick any current issue of a journal such as Social Science & Medicine or the Journal of Epidemiology and Community Health and one is bound to see a featured article about social capital and health. Search on Pubmed for “social capital and health”, and one sees over 27,500 articles listed (as of December 2006). Enter the same search term in Google, and you get over 9 million hits. Yet wind the clock back to circa 1996 and one would be hard pressed to find an article in the public health literature that even mentioned this concept. In other words, within a short span of a decade, social capital has entered the mainstream of public health discourse, where it is now the theme of professional conferences, as well as the topic of white papers put out by government health agencies worldwide. For sure social capital was talked about in fields outside public health prior to 1996 – in sociology (Bourdieu, 1986; Coleman, 1990), economics (Loury, 1992), and political science (Putnam, 1993) – but the explosion of interest in applying the concept to public health is a comparatively recent phenomenon (Figure 1.1).
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The Web Nurse. 25 Facebook Apps That Can Improve Your Health. (2010) http://mastersinnursingonline.com/ 2010/25-facebook-apps-that-can-improve-your-health/.
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