Annie T. Chen

What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques

Background The rise in popularity of electronic cigarettes (e-cigarettes) and hookah over recent years has been accompanied by some confusion and uncertainty regarding the development of an appropriate regulatory response towards these emerging products. Mining online discussion content can lead to insights into people’s experiences, which can in turn further our knowledge of how to address potential health implications. In this work, we take a novel approach to understanding the use and appeal of these emerging products by applying text mining techniques to compare consumer experiences across discussion forums. Objective This study examined content from the websites Vapor Talk, Hookah Forum, and Reddit to understand people’s experiences with different tobacco products. Our investigation involves three parts. First, we identified contextual factors that inform our understanding of tobacco use behaviors, such as setting, time, social relationships, and sensory experience, and compared the forums to identify the ones where content on these factors is most common. Second, we compared how the tobacco use experience differs with combustible cigarettes and e-cigarettes. Third, we investigated differences between e-cigarette and hookah use. Methods In the first part of our study, we employed a lexicon-based extraction approach to estimate prevalence of contextual factors, and then we generated a heat map based on these estimates to compare the forums. In the second and third parts of the study, we employed a text mining technique called topic modeling to identify important topics and then developed a visualization, Topic Bars, to compare topic coverage across forums. Results In the first part of the study, we identified two forums, Vapor Talk Health & Safety and the Stopsmoking subreddit, where discussion concerning contextual factors was particularly common. The second part showed that the discussion in Vapor Talk Health & Safety focused on symptoms and comparisons of combustible cigarettes and e-cigarettes, and the Stopsmoking subreddit focused on psychological aspects of quitting. Last, we examined the discussion content on Vapor Talk and Hookah Forum. Prominent topics included equipment, technique, experiential elements of use, and the buying and selling of equipment. Conclusions This study has three main contributions. Discussion forums differ in the extent to which their content may help us understand behaviors with potential health implications. Identifying dimensions of interest and using a heat map visualization to compare across forums can be helpful for identifying forums with the greatest density of health information. Additionally, our work has shown that the quitting experience can potentially be very different depending on whether or not e-cigarettes are used. Finally, e-cigarette and hookah forums are similar in that members represent a “hobbyist culture” that actively engages in information exchange. These differences have important implications for both tobacco regulation and smoking cessation intervention design.

Full length articleExamining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach

Objectives Social media, including online health communities, have become popular platforms for individuals to discuss health challenges and exchange social support with others. These platforms can provide support for individuals who are concerned about social stigma and discrimination associated with their illness. Although mental health conditions can share similar symptoms and even co-occur, the extent to which discussion topics in online mental health communities are similar, different, or overlapping is unknown. Discovering the topical similarities and differences could potentially inform the design of related mental health communities and patient education programs. This study employs text mining, qualitative analysis, and visualization techniques to compare discussion topics in publicly accessible online mental health communities for three conditions: Anxiety, Depression and Post-Traumatic Stress Disorder. Methods First, online discussion content for the three conditions was collected from three Reddit communities (r/Anxiety, r/Depression, and r/PTSD). Second, content was pre-processed, and then clustered using the k-means algorithm to identify themes that were commonly discussed by members. Third, we qualitatively examined the common themes to better understand them, as well as their similarities and differences. Fourth, we employed multiple visualization techniques to form a deeper understanding of the relationships among the identified themes for the three mental health conditions. Results The three mental health communities shared four themes: sharing of positive emotion, gratitude for receiving emotional support, and sleep- and work-related issues. Depression clusters tended to focus on self-expressed contextual aspects of depression, whereas the Anxiety Disorders and Post-Traumatic Stress Disorder clusters addressed more treatment- and medication-related issues. Visualizations showed that discussion topics from the Anxiety Disorders and Post-Traumatic Stress Disorder subreddits shared more similarities to one another than to the depression subreddit. Conclusions We observed that the members of the three communities shared several overlapping concerns (i.e., sleep- and work-related problems) and discussion patterns (i.e., sharing of positive emotion and showing gratitude for receiving emotional support). We also highlighted that the discussions from the r/Anxiety and r/PTSD communities were more similar to one another than to discussions from the r/Depression community. The r/Anxiety and r/PTSD subreddit members are more likely to be individuals whose experiences with a condition are long-term, and who are interested in treatments and medications. The r/Depression subreddit members may be a comparatively diffuse group, many of whom are dealing with transient issues that cause depressed mood. The findings from this study could be used to inform the design of online mental health communities and patient education programs for these conditions. Moreover, we suggest that researchers employ multiple methods to fully understand the subtle differences when comparing similar discussions from online health communities.

Examining thematic similarity, difference, and membership in three online mental health communities from reddit

Objectives Social media, including online health communities, have become popular platforms for individuals to discuss health challenges and exchange social support with others. These platforms can provide support for individuals who are concerned about social stigma and discrimination associated with their illness. Although mental health conditions can share similar symptoms and even co-occur, the extent to which discussion topics in online mental health communities are similar, different, or overlapping is unknown. Discovering the topical similarities and differences could potentially inform the design of related mental health communities and patient education programs. This study employs text mining, qualitative analysis, and visualization techniques to compare discussion topics in publicly accessible online mental health communities for three conditions: Anxiety, Depression and Post-Traumatic Stress Disorder. Methods First, online discussion content for the three conditions was collected from three Reddit communities (r/Anxiety, r/Depression, and r/PTSD). Second, content was pre-processed, and then clustered using the k-means algorithm to identify themes that were commonly discussed by members. Third, we qualitatively examined the common themes to better understand them, as well as their similarities and differences. Fourth, we employed multiple visualization techniques to form a deeper understanding of the relationships among the identified themes for the three mental health conditions. Results The three mental health communities shared four themes: sharing of positive emotion, gratitude for receiving emotional support, and sleep- and work-related issues. Depression clusters tended to focus on self-expressed contextual aspects of depression, whereas the Anxiety Disorders and Post-Traumatic Stress Disorder clusters addressed more treatment- and medication-related issues. Visualizations showed that discussion topics from the Anxiety Disorders and Post-Traumatic Stress Disorder subreddits shared more similarities to one another than to the depression subreddit. Conclusions We observed that the members of the three communities shared several overlapping concerns (i.e., sleep- and work-related problems) and discussion patterns (i.e., sharing of positive emotion and showing gratitude for receiving emotional support). We also highlighted that the discussions from the r/Anxiety and r/PTSD communities were more similar to one another than to discussions from the r/Depression community. The r/Anxiety and r/PTSD subreddit members are more likely to be individuals whose experiences with a condition are long-term, and who are interested in treatments and medications. The r/Depression subreddit members may be a comparatively diffuse group, many of whom are dealing with transient issues that cause depressed mood. The findings from this study could be used to inform the design of online mental health communities and patient education programs for these conditions. Moreover, we suggest that researchers employ multiple methods to fully understand the subtle differences when comparing similar discussions from online health communities.

Characterizing Websites That Provide Information About Complementary and Integrative Health: Systematic Search and Evaluation of Five Domains

Background In recent years, there has been an increase in the utilization of complementary and integrative health (CIH) care, and an increase in information-seeking behavior focused on CIH. Thus, understanding the quality of CIH information that is available on the internet is imperative. Although there have been a limited number of studies evaluating the quality of websites providing information about specific CIH-related topics, a broad evaluation of CIH websites has not been conducted. Objective This study was designed to fill that gap. We set out to assess website quality in 5 CIH domains: (1) acupuncture, (2) homeopathy, (3) massage, (4) reiki, and (5) yoga. This study aimed to 1) characterize the websites by type and quality; 2) evaluate website characteristics which may affect readers’ perceptions, specifically message content, structural features, and presentation style, and 3) investigate the extent to which harms, benefits and purposes of use are stated on websites. Methods This study employed a systematic search strategy to identify websites in each of the target domains to be evaluated. The websites were then classified by type, and a set of checklists focusing on quality, message content, structural features, and presentation style was used to evaluate the websites. Lastly, we performed content analysis to identify harms, benefits, and perceived purposes of use. Results There were similarities across domains regarding their overall quality and their message content. Across all domains, a high proportion of websites received strong scores in terms of ownership, currency, interactivity and navigability. Scores were more variable concerning authorship, balanced presentation of information and the use of sources of information. However, there were differences regarding their structural features and presentation style. Acupuncture and reiki sites tended to include more external links, and yoga, fewer. There was variation across domains in the extent to which the websites contained domain-specific terminology. Websites tended to provide an extensive list of potential benefits, while reporting of harms was scarce. Conclusions This is the first study to perform a multidimensional assessment of websites in multiple CIH domains. This review showed that while there are similarities among websites of different CIH domains, there are also differences. The diverse distribution of website types suggests that, regardless of CIH domain, the public encounters information through many different types of media, and it would be useful to consider how the presentation of this content may differ depending on the medium. The characteristics for which variability exist are areas that warrant greater attention from researchers, policy makers, clinicians and patients. There is also a need to better understand how individuals may interact with CIH websites, and to develop tools to assist people to interpret the CIH-related information that they encounter.

Timeline Drawing and the Online Scrapbook: Two Visual Elicitation Techniques for a Richer Exploration of Illness Journeys

This article explores the use of two visual methods to facilitate elicitation of temporal data in a qualitative interview study—specifically, a timeline drawing activity and collaborative viewing of an interface for visualizing personal social media histories, the Online Scrapbook—for eliciting participants’ recollections and reflections upon their experience of chronic illness. This study makes a novel contribution in the use of an interactive, data-driven timeline based on social media participation to elicit personal reflections. Both elicitation techniques were effective for encouraging participants to tell their story and take a closer look at their own experiences in their respective ways. Whereas the timeline drawing activity gave participants the opportunity to share their illness experiences from their own perspective, the Online Scrapbook facilitated a multidimensional exploration of how participants interacted with their surrounding online and offline environments, enabled participants to revisit their past through their own digital artifacts, and supported a deeper exploration of participants’ information behaviors. The article examines how the timeline drawing activity and the Online Scrapbook viewing activity were used together in the same study to bring out the richness and complexity of the relationship between information behavior and health management, and facilitate a nuanced view of participants’ lives.

Incorporating Values Sensitive Design into Crowdsourcing Methodologies for Knowledge Collaboration: Incorporating values sensitive design into crowdsourcing methodologies for knowledge collaboration

In recent years, we have seen a dramatic increase in crowdsourcing approaches to solve problems and engage in other types of knowledge work in many domains, including genetics, health, cultural heritage, digital preservation and design. Crowdsourcing initiatives offer many potential benefits, including engaging individuals of diverse backgrounds in collaborative meaning‐making and production. And yet, the potential challenges and dangers, such as issues related to quality and false confidence, can hardly escape our attention. This panel will explore how human‐centered approaches to crowdsourcing can help minimize its challenges. In particular, this panel will ask how we implement crowdsourcing methods, what our outcomes should be, and how we should go about developing and defining our outcomes in relationship to the workers. The first half of the session will be devoted to an introduction to crowdsourcing initiatives and associated critical issues. Each presentation will drill progressively deeper into the mechanisms and implications of crowdsourcing. In the second half of the session, we invite session attendees to engage with us in a collaborative activity employing techniques from the value sensitive design approach to design crowdsourcing initiatives that are sensitive to the communities with whom we engage and thereby endeavor to realize humanistic goals. It is our hope that the panel session will result in new collaborations and spark the development of more thoughtful, reflexive and productive crowdsourcing activities.

A constant conversation: tuning into and harmonizing the needs and priorities of the body and mind

ABSTRACT Purpose: Individuals rely upon many types of information to manage an illness, including information provided by their own bodies. This study investigated how people tune into and manage the flow of information from their bodies to manage their health. Method: We developed a platform for participants to share and collaboratively reflect on how they engaged in this dialogic process, in which participants contributed to a discussion on topics relating to body listening and body awareness. Though the study was open to anyone interested in or wanting to contribute to knowledge on “body listening,” the social media recruitment focused on chronic conditions requiring self-care and having overlapping symptomatology, with chronic pain as the primary characteristic. A qualitative analysis method based on grounded theory was used to analyse the data. Results: Six main themes emerged: learning the language, recognizing and heeding limits, experiencing emotional fatigue and despair, regulating the channel, moving from conflict to communication, and settling into an uneasy acceptance. Conclusion: The monitoring and filtering of information from one’s body, and the appeasement of conflicting demands and voices, is difficult work. Knowledge of this process can be used in patient education and in the development of tools to support body listening.

Needs and expectations in a tool for exploring slave narratives: a survey of prospective users

This paper focuses on the results of a two-part survey to investigate the needs of potential users of an interface for exploring historical narratives. First, the survey asked university faculty and K-12 instructors to elucidate expectations and desires for an interface facilitating textual exploration, particularly of historical narratives. Then, the survey showed participants an experimental interface and asked participants to comment on its features. The results suggest that there were distinct needs specific to each user population in addition to general desires common to both groups. Some areas to emphasize in future design improvements include: more support for collaboration; support for different modes of engagement; greater support for historic themes that are traditionally studied in relation to slave narratives; and greater customizability. The main contributions of this work are as follows. First, the needs, expectations and perspectives of university faculty and K-12 teachers may differ with regards to interfaces for textual exploration, and that it is important to tailor interfaces to support their specific needs. Second, this survey provides insight concerning how text exploration interfaces might be employed in classroom settings, and the features that would be needed to support such use.