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This document analyzes the evolution of policy-related discussions in open source software by using several projects’ policy mailing list archives and focusing on the Debian Project. More specifically, it utilizes approximately 70,000 pieces of mail exchanged since the end of the 1990s, investigating the rise and fall in activity and what sort of topics was discussed. The results of this paper’s inquiry suggest that mail volumes peaked in 2005, that policy discussions were led and mainly contributed to by a relatively small subset of persons who only posted related to policy, and that overall mailing list traffic (not only related to policy) declined after 2006, possibly due to a transfer of discussion to Wikis, chats, and other such platforms.

We used an internet-based survey platform to conduct a cross-sectional survey regarding the impact of COVID-19 on the LGBTQ + population in the United States. While this method of data collection was quick and inexpensive, the data collected required extensive cleaning due to the infiltration of bots. Based on this experience, we provide recommendations for ensuring data integrity. Recruitment conducted between May 7 and 8, 2020 resulted in an initial sample of 1251 responses. The Qualtrics survey was disseminated via social media and professional association listservs. After noticing data discrepancies, research staff developed a rigorous data cleaning protocol. A second wave of recruitment was conducted on June 11–12, 2020 using the original recruitment methods. The five-step data cleaning protocol led to the removal of 773 (61.8%) surveys from the initial dataset, resulting in a sample of 478 participants in the first wave of data collection. The protocol led to the removal of 46 (31.9%) surveys from the second two-day wave of data collection, resulting in a sample of 98 participants in the second wave of data collection. After verifying the two-day pilot process was effective at screening for bots, the survey was reopened for a third wave of data collection resulting in a total of 709 responses, which were identified as an additional 514 (72.5%) valid participants and led to the removal of an additional 194 (27.4%) possible bots. The final analytic sample consists of 1090 participants. Although a useful and efficient research tool, especially among hard-to-reach populations, internet-based research is vulnerable to bots and mischievous responders, despite survey platforms’ built-in protections. Beyond the depletion of research funds, bot infiltration threatens data integrity and may disproportionately harm research with marginalized populations. Based on our experience, we recommend the use of strategies such as qualitative questions, duplicate demographic questions, and incentive raffles to reduce likelihood of mischievous respondents. These protections can be undertaken to ensure data integrity and facilitate research on vulnerable populations.

The study’s purpose was to describe a population of individuals who experienced gender dysphoria, chose to undergo medical and/or surgical transition and then detransitioned by discontinuing medications, having surgery to reverse the effects of transition, or both. Recruitment information with a link to an anonymous survey was shared on social media, professional listservs, and via snowball sampling. Sixty-nine percent of the 100 participants were natal female and 31.0% were natal male. Reasons for detransitioning were varied and included: experiencing discrimination (23.0%); becoming more comfortable identifying as their natal sex (60.0%); having concerns about potential medical complications from transitioning (49.0%); and coming to the view that their gender dysphoria was caused by something specific such as trauma, abuse, or a mental health condition (38.0%). Homophobia or difficulty accepting themselves as lesbian, gay, or bisexual was expressed by 23.0% as a reason for transition and subsequent detransition. The majority (55.0%) felt that they did not receive an adequate evaluation from a doctor or mental health professional before starting transition and only 24.0% of respondents informed their clinicians that they had detransitioned. There are many different reasons and experiences leading to detransition. More research is needed to understand this population, determine the prevalence of detransition as an outcome of transition, meet the medical and psychological needs of this population, and better inform the process of evaluation and counseling prior to transition.

John Brownstein, Clark Freifeld, and Lawrence Madoff write that a new generation of disease-surveillance “mashups” can mine, categorize, filter, and visualize online intelligence about epidemics in real time. The Internet has become a critical medium for clinicians, public health practitioners, and laypeople seeking health information. Data about diseases and outbreaks are disseminated not only through online announcements by government agencies but also through informal channels, ranging from press reports to blogs to chat rooms to analyses of Web searches (see Digital Resources for Disease Detection). Collectively, these sources provide a view of global health that is fundamentally different from that yielded by the disease reporting of the traditional public health infrastructure. 1 Digital Resources for Disease Detection. Sample Web-based data sources ProMED-mail, www.promedmail.org Global Public Health Intelligence Network (GPHIN), . . .

This article explores the links between social media and public space within the #Occupy Everywhere movements. Whereas listservs and websites helped give rise to a widespread logic of networking within the movements for global justice of the 1990s–2000s, I argue that social media have contributed to an emerging logic of aggregation in the more recent #Occupy movements—one that involves the assembling of masses of individuals from diverse backgrounds within physical spaces. However, the recent shift toward more decentralized forms of organizing and networking may help to ensure the sustainability of the #Occupy movements in a posteviction phase.

PurposeThis study aims to understand how artificial Intelligence (AI) and related technologies are currently being utilized in public and academic libraries and how librarians perceive the adoption of new technologies in their relative libraries.Design/methodology/approachUsing an online survey questionnaire, the authors collected survey responses from both public and academic librarians that were subscribed to information science-centered listservs in North America. The quantitative survey responses (N = 242) were measured through use of multiple chi-square tests and crosstab analyses.FindingsThe current use and awareness of AI and related technologies were more reported from academic librarians; however, public librarians' reported perceptions on such technologies were generally more positive. In all, 67% of them responded that AI and related technologies will transform the library's functions, and 68% of librarians reported that they are interested in training. This study discussed the significance of training for preparing librarians for AI and related technologies and the further examination on the role of librarians in the new era.Originality/valueThis study examined public and academic librarians' perceptions toward the adoption of six emerging technologies which often appear in the LIS literature as well as addressed as the Fourth Industrial Revolution technologies.

Prevailing health care structures and cultures restrict intraprofessional communication, inhibiting knowledge dissemination and impacting the translation of research into practice. Virtual communities may facilitate professional networking and knowledge sharing in and between health care disciplines. This study aimed to review the literature on the use of social media by health care professionals in developing virtual communities that facilitate professional networking, knowledge sharing, and evidence-informed practice. An integrative literature review was conducted to identify research published between 1990 and 2015. Search strategies sourced electronic databases (PubMed, CINAHL), snowball references, and tables of contents of 3 journals. Papers that evaluated social media use by health care professionals (unless within an education framework) using any research design (except for research protocols or narrative reviews) were included. Standardized data extraction and quality assessment tools were used. Overall, 72 studies were included: 44 qualitative (including 2 ethnographies, 26 qualitative descriptive, and 1 Q-sort) and 20 mixed-methods studies, and 8 literature reviews. The most common methods of data collection were Web-based observation (n=39), surveys (n=23), interviews (n=11), focus groups (n=2), and diaries (n=1). Study quality was mixed. Social media studied included Listservs (n=22), Twitter (n=18), general social media (n=17), discussion forums (n=7), Web 2.0 (n=3), virtual community of practice (n=3), wiki (n=1), and Facebook (n=1). A range of health care professionals were sampled in the studies, including physicians (n=24), nurses (n=15), allied health professionals (n=14), followed by health care professionals in general (n=8), a multidisciplinary clinical specialty area (n=9), and midwives (n=2). Of 36 virtual communities, 31 were monodiscipline for a discrete clinical specialty. Population uptake by the target group ranged from 1.6% to 29% (n=4). Evaluation using related theories of \"planned behavior\" and the \"technology acceptance model\" (n=3) suggests that social media use is mediated by an individual's positive attitude toward and accessibility of the media, which is reinforced by credible peers. The most common reason to establish a virtual community was to create a forum where relevant specialty knowledge could be shared and professional issues discussed (n=17). Most members demonstrated low posting behaviors but more frequent reading or accessing behaviors. The most common Web-based activity was request for and supply of specialty-specific clinical information. This knowledge sharing is facilitated by a Web-based culture of collectivism, reciprocity, and a respectful noncompetitive environment. Findings suggest that health care professionals view virtual communities as valuable knowledge portals for sourcing clinically relevant and quality information that enables them to make more informed practice decisions. There is emerging evidence that health care professionals use social media to develop virtual communities to share domain knowledge. These virtual communities, however, currently reflect tribal behaviors of clinicians that may continue to limit knowledge sharing. Further research is required to evaluate the effects of social media on knowledge distribution in clinical practice and importantly whether patient outcomes are significantly improved.

Social and physical distancing in response to the coronavirus disease (COVID-19) pandemic has made screen-mediated information and communication technologies (media) indispensable. Whether an increase in screen use is a source of or a relief for stress remains to be seen. In the immediate aftermath of the COVID-19 lockdowns, we investigated the relation between subjective stress and changes in the pattern of media use. Based on Lazarus's transactional model of appraisal and coping, and building on an earlier similar survey, we hypothesize that individual differences in the appraisal of media predict variations in approach or avoidance of media for coping with COVID-19 stress. Between March 20 and April 20, 2020, a brief snowball survey entitled: \"What media helps, what media hurts: coping with COVID19 through screens\" was distributed via Concordia University's mailing lists and social media (PERFORM Centre, EngAGE Centre, and Media Health Lab). Using a media repertoire method, we asked questions about preferences, changes in use, and personal appraisal of media experiences (approach, avoid, and ignore) as a result of the COVID-19 pandemic and investigated interindividual differences in media use by factors such as subjective stress, age, gender, and self-reported mental health. More than 90% of the survey respondents were in Canada and the east coast of the United States. From 685 completed responses, 169 respondents were \"very stressed\" and 452 were \"slightly worried\" about the pandemic. COVID-19 stress led to increased use of Facebook (χ =11.76, P=.008), television (χ =12.40, P=.006), YouTube (χ =8.577, P=.04), and streaming services such as Netflix (χ =10.71, P=.01). Respondents who considered their mental health \"not good\" were twice as likely to prefer streaming services as a coping tool for self-isolation. Women and nonbinary respondents were twice as likely than men to pick social media for coping. Individuals younger than 35 years were 3 times more likely to pick computer games, and individuals older than 55 years were more likely to pick network television or print media. Gender affected the appraisal of media (less in men than others) in terms of avoid (F =5.84, P=.02) and approach scores (F =14.31, P<.001). Subjective mental health affected the ignore score (less in those who said \"good\" than others; F =13.88, P<.001). The appraisal score and use increase explained variations in worrying about physical and mental health stress due to increased screen time. A qualitative analysis of open-ended questions revealed that media (especially social networks) were important for coping if they provided support and connection through the dissemination of factual and positive information while avoiding the overflow of sensational and false news. The relationship between appraisal of media's positive and negative facets vary with demographic differences in mental health resiliency. The media repertoire approach is an important tool in studies that focus on assessing the benefits and harms of screen overuse in different populations, especially in the context of the COVID-19 pandemic.

Purpose – The purpose of this paper was to check the validity of Bradford’s Law in the contemporary world of academic electronic mailing lists. Design/methodology/approach – The present research study applied Bradford’s Law to academic electronic mailing lists to determine: whether, on the Internet, mailing lists and the posts sent to them follow the same distribution as scientific journals and the articles published in them with respect to the original form of Bradford’s Law; and whether the behaviour of the Bradford distributions differs depending on the type of academic discipline (social studies or sciences) and subject category (documentation and education, medicine and life sciences) to which the list belongs. As a prior step, the utility of mailing lists was analysed during the 10-year period of 2002-2011, together with their expected future in terms of ratifying the applicability of the Law. Findings – The results showed that, in general, electronic mailing lists are continuing to be used, and that Bradford’s Law is indeed satisfied, especially in the science subject categories, coherent with the fact that Bradford’s Law in cybermetrics holds only for fairly narrow (closed) and well-defined (homogeneous) environments. Originality/value – The originality of the present research study was to check the validity of the historic Bradford’s Law in the contemporary world of Internet.

A disorder is considered a rare disease if it affects 1 in 2000, hence, while independently unique, collectively, these conditions are quite common. Many rare diseases are diagnosed during childhood, and therefore parents become primary caregivers in addition to their parental role. Despite the prevalence of rare diseases among children, there has been little research focused on parents’ experiences of navigating the healthcare system, a gap we begin to address in this study. Guided by an interpretive description methodology, participants were recruited through online listservs and posting flyers at a pediatric hospital in Western Canada. Sixteen parents (15 mothers and 1 father) participated in in-depth, semi-structured interviews between April 2013 and March 2014. Data were analyzed inductively, generating the main study themes. Findings illuminated the challenges parents’ experienced on their child’s diagnostic journey—from seeking, to receiving, to adjusting to the rare disease diagnosis. Following diagnosis, gaps, and barriers to services resulted in parents pursuing services that could support their child’s unique care needs, which often resulted in out-of-pocket payments and changes to employment. Parents found peer support, both online and in person, to be an effective resource. This study illustrates the common challenges experienced by parents of children with rare diseases as they navigate the healthcare system. Parents’ role as “expert caregiver” was rarely acknowledged by healthcare providers, pointing to the need to foster more egalitarian relationships. As well, parents were burdened with the additional role of care coordinator, a role that could be filled formally by a healthcare provider. Lastly, peer support was a key resource in terms of information and emotional support for parents who often begin their journey feeling isolated and alone. Policies and programs are needed that validate the invisible care work of parents and ensure adequate formal supports are in place to mitigate potential sources of inequity for these families. Furthermore, genetic counselors can play a key role in ensuring parents’ informational needs are addressed at the time of diagnosis and in connecting families who share common experiences regardless of the rare disease diagnosis.