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Introduction: In recent years, research has used psycholinguistic features in public discourse, networking behaviors on social media and profile information to train models for depression detection. However, the most widely adopted approach for the extraction of psycholinguistic features is to use the Linguistic Inquiry Word Count (LIWC) dictionary and various affective lexicons. Other features related to cultural factors and suicide risk have not been explored. Moreover, the use of social networking behavioral features and profile features would limit the generalizability of the model. Therefore, our study aimed at building a prediction model of depression for text-only social media data through a wider range of possible linguistic features related to depression, and illuminate the relationship between linguistic expression and depression. Methods: We collected 789 users' depression scores as well as their past posts on Weibo, and extracted a total of 117 lexical features via Simplified Chinese Linguistic Inquiry Word Count, Chinese Suicide Dictionary, Chinese Version of Moral Foundations Dictionary, Chinese Version of Moral Motivation Dictionary, and Chinese Individualism/Collectivism Dictionary. Results: Results showed that all the dictionaries contributed to the prediction. The best performing model occurred with linear regression, with the Pearson correlation coefficient between predicted values and self-reported values was 0.33, the R-squared was 0.10, and the split-half reliability was 0.75. Discussion: This study did not only develop a predictive model applicable to text-only social media data, but also demonstrated the importance taking cultural psychological factors and suicide related expressions into consideration in the calculation of word frequency. Our research provided a more comprehensive understanding of how lexicons related to cultural psychology and suicide risk were associated with depression, and could contribute to the recognition of depression.

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There is substantial research on librarians' engagement with various social media platforms as part of their professional obligations. We were interested in examining librarians' use of Twitter outside of the context of a job-related, but still professional, context. To find out more, we invited health sciences librarians via Twitter to discuss the impact that the platform has had on their professional lives, offering this column as an opportunity to share their experiences. The case reports support the premise that Twitter can be an impactful communications tool and can benefit librarians in meaningful ways, both professionally and personally.

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Due to the novel coronavirus disease (COVID-19) outbreak in China, a large number of Chinese students resorted to online learning resources. The increasingly widespread online education enables the investigation of public opinion about this large-scale untraditional mode of learning during this critical period. Sina Weibo Microblogs (the Chinese equivalent of Twitter) related to online education were collected in three distinctive phases: from July 01, 2019 to January 09, 2020 (pre-pandemic); from January 10, 2020 to April 30, 2020 (amid-pandemic); and from May 01, 2020 to Nov 30, 2020 (post-pandemic), respectively. The aim was to obtain broad insight into how online learning was viewed by the public in the Chinese educational landscape. The public opinion during these three periods were analysed and compared. The findings facilitated a better understanding of what the Chinese public perceived about this online learning mode in becoming the dominant channel for teaching and learning during critical periods.

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Current times have seen growing use of social medial tools, including microblogging sites like Twitter as an efficient method to disseminate information related to health amongst patients, students as well as health care workers. This article explores the role of this short, effective messaging platform in oral health care, teaching, research and learning. The concepts of "tweeting the meeting" and aggregation of conversations via "hashtags" is advocated for academic conferences, which will extend the conference reach to give the users better access to the instructors and enhance the related outcomes. Tweeting and retweeting the required research content may increase the academic footprint of the conducted research and researchers. In addition, it has served an immense role in the current COVID-19 pandemic by the regular circulation of information to the public and helped governments in policymaking and showcasing the areas of public concern. However, it still has a huge potential yet to be explored, with collective efforts towards strengthening the aspects of authenticity and standardization of the shared content.

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BACKGROUND: Emerging evidence suggests that people with arthritis are reporting increased physical pain and psychological distress during the COVID-19 pandemic. At the same time, Twitter's daily usage has surged by 23% throughout the pandemic period, presenting a unique opportunity to assess the content and sentiment of tweets. Individuals with arthritis use Twitter to communicate with peers, and to receive up-to-date information from health professionals and services about novel therapies and management techniques. OBJECTIVE: The aim of this research was to identify proxy topics of importance for individuals with arthritis during the COVID-19 pandemic, and to explore the emotional context of tweets by people with arthritis during the early phase of the pandemic. METHODS: From March 20 to April 20, 2020, publicly available tweets posted in English and with hashtag combinations related to arthritis and COVID-19 were extracted retrospectively from Twitter. Content analysis was used to identify common themes within tweets, and sentiment analysis was used to examine positive and negative emotions in themes to understand the COVID-19 experiences of people with arthritis. RESULTS: In total, 149 tweets were analyzed. The majority of tweeters were female and were from the United States. Tweeters reported a range of arthritis conditions, including rheumatoid arthritis, systemic lupus erythematosus, and psoriatic arthritis. Seven themes were identified: health care experiences, personal stories, links to relevant blogs, discussion of arthritis-related symptoms, advice sharing, messages of positivity, and stay-at-home messaging. Sentiment analysis demonstrated marked anxiety around medication shortages, increased physical symptom burden, and strong desire for trustworthy information and emotional connection. CONCLUSIONS: Tweets by people with arthritis highlight the multitude of concurrent concerns during the COVID-19 pandemic. Understanding these concerns, which include heightened physical and psychological symptoms in the context of treatment misinformation, may assist clinicians to provide person-centered care during this time of great health uncertainty.

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Introduction: Burnout in medical students is extensive and a critical issue. It is associated with increased rates of depression, suicide, and poor perception of the educational environment. Enhancing resilience, the ability to adapt well in the face of adversity, is a potential tool to mitigate burnout and improve medical student wellness. Methods: Our resilience curriculum consisted of facilitated workshops to cultivate resilience in medical students during their core clerkship rotations. This curriculum served as an introduction to the concept of resilience and taught skills to cultivate resilience and promote wellness. The sessions allowed for identification of and reflection on stressors in the clinical learning environment, including straining team dynamics, disappointment, and uncertainty. Educational sessions included resilience skill-building exercises for managing expectations, letting go of negative emotions, dealing with setbacks, and finding meaning in daily work. Associated materials included lesson plans for small-group facilitators, learner pre- and postcurriculum surveys, and a social media activity guide. Results: This curriculum was delivered to 144 clerkship students at two academic institutions over the 2017-2018 academic year. Sessions were well received by medical students, with the majority of students stating that the sessions should continue. The majority of attendees found the sessions valuable and learned new ways to approach challenges. Discussion: Students valued connecting with peers and feeling less alone through their participation. A challenge was constructing a setting conducive to comfortable reflection for all learners. Not all students found these sessions necessary. Sessions may have improved resilience levels.

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BACKGROUND: Although the Clerkship Directors in Internal Medicine (CDIM) has created a core subinternship curriculum, the traditional experiential subinternship may not expose students to all topics. Furthermore, academic institutions often use multiple clinical training sites for the student clerkship experience. OBJECTIVE: The objective of this study was to sustain a Web-based learning community across geographically disparate sites via enterprise microblogging to increase subintern exposure to the CDIM curriculum. METHODS: Internal medicine subinterns used Yammer, a Health Insurance Portability and Accountability Act (HIPAA)-secure enterprise microblogging platform, to post questions, images, and index conversations for searching. The subinterns were asked to submit 4 posts and participate in 4 discussions during their rotation. Faculty reinforced key points, answered questions, and monitored HIPAA compliance. RESULTS: In total, 56 medical students rotated on an internal medicine subinternship from July 2014 to June 2016. Of them, 84% returned the postrotation survey. Over the first 3 months, 100% of CDIM curriculum topics were covered. Compared with the pilot year, the scale-up year demonstrated a significant increase in the number of students with >10 posts (scale-up year 49% vs pilot year 19%; P=.03) and perceived educational experience (58% scale-up year vs 14% pilot year; P=.006). Few students (6%) noted privacy concerns, but fewer students in the scale-up year found Yammer to be a safe learning environment. CONCLUSIONS: Supplementing the subinternship clinical experience with an enterprise microblogging platform increased subinternship exposure to required curricular topics and was well received. Future work should address concerns about safe learning environment.

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Online social networking sites (SNSs) have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i) social networking and social media use are not the same; (ii) social networking is eclectic; (iii) social networking is a way of being; (iv) individuals can become addicted to using social networking sites; (v) Facebook addiction is only one example of SNS addiction; (vi) fear of missing out (FOMO) may be part of SNS addiction; (vii) smartphone addiction may be part of SNS addiction; (viii) nomophobia may be part of SNS addiction; (ix) there are sociodemographic differences in SNS addiction; and (x) there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided.

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Journal clubs have typically been held within the walls of academic institutions and in medicine have served the dual purpose of fostering critical appraisal of literature and disseminating new findings. In the last decade and especially the last few years, online and virtual journal clubs have been started and are flourishing, especially those harnessing the advantages of social media tools and customs. This article reviews the history and recent innovations of journal clubs. In addition, the authors describe their experience developing and implementing NephJC, an online nephrology journal club conducted on Twitter.

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OBJECTIVE: This article examines the relationship between microblogging and the development of health narrative through the lens of an institution-initiated media event, the first live-tweeted heart operation in the Netherlands. It specifically addresses the question, how does health narrative take shape on a microblog and other (social) media, through the combination of self-initiated status updates, reactions to questions and short conversations with followers? METHODS: A combination of qualitative and quantitative data analysis was used to identify prominent themes in the tweets and trace the complex process by which the narrative took shape. The results presented here are derived from the qualitative analysis. RESULTS: There are four recurring health narrative themes in the tweets: (a) new challenges to professionalism; (b) mutual exchanges of information, support and advice; (c) increasingly personal (and public) details; and (d) questions about 'resuming normalcy'. The special nature of this case also reveals interesting features, such as the multiple narrative starting points and the phenomenon of 'tweeting by proxy', and raises a number of critical questions regarding this type of use of social media in healthcare. CONCLUSIONS: In the discussion we reflect on whether/how microblogged health narratives are really 'new' and on the implications of this single case for understanding the relationship between social media, health narrative and the changing relationships between information technologies, actors and institutions. We further examine this case as an example of what Lupton has deemed the 'digital patient experience economy', in reference to patients increasingly being encouraged to post experiences of their illness and encounters with the healthcare system to online platforms, where these shared experiences become valorised and monetised.

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Sina Weibo is a Twitter-like social networking site and one of the most popular microblogging services in China. This study aims to examine the factors that influence the intentions of users to continue using this site. This paper synthesizes the expectation confirmation model, constructs of habit and perceived critical mass, and the gender effect to construct a theoretical model to explain and predict these user intentions. The model is then tested via an online survey of 498 Sina Weibo users and partial least squares (PLS) modeling. The results indicate that the continuance intention of users is directly predicted by their perceived usefulness of the service (ß = 0.299), their satisfaction (ß = 0.208), and their habits (ß = 0.389), which jointly explain 65.9% of the variance in intention. In addition to the effects of these predictors on the continuance intentions of Sina Weibo users, an assessment of the moderating effect of gender suggests that habit plays a more important role for females than for males in continuance intention, but perceived usefulness seems to be more important for males than for females. The implications of these findings are then discussed.

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This paper reports on the results of a study into the use of microblogging technology (TodaysMeet) in large, multi-site lectures in a nursing program. The aim of this study was to investigate students' use of the technology and their perceptions of its value in stimulating engagement in a complex learning environment. The study demonstrated that students like the anonymity that the technology provided, allowing them to ask questions without fear of appearing less competent than their peers. Many of the respondents commented positively on the opportunity to engage with students and the lecturer at other campuses. While some students appreciated the opportunity to interact and have feedback from peers, others saw this as a negative aspect of the technology. This study suggests that, used appropriately, microblogging can be incorporated into large lectures to promote student participation and engagement and ultimately enhance the learning process.

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Microblogging has become an important marketing tool in library and marketing assessment is a necessary step of microblogging marketing management .The established micro-blogging marketing assessment indication sys-tem in library should include the credibility , influencing power , communication and content expression of micro-blogging.The collected data should be scientifically processed and analyzed with a comprehensive method, and measures should be taken to maintain the sustainable development of assessment .

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PURPOSE: Twitter is a social media microblogging platform that allows rapid exchange of information between individuals. Despite its widespread acceptance and use at various other medical specialty meetings, there are no published data evaluating its use at radiology meetings. The purpose of this study is to quantitatively and qualitatively evaluate the use of Twitter as a microblogging platform at recent RSNA annual meetings. METHODS: Twitter activity meta-data tagged with official meeting hashtags #RSNA11 and #RSNA12 were collected and analyzed. Multiple metrics were evaluated, including daily and hourly Twitter activity, frequency of microblogging activity over time, characteristics of the 100 most active Twitter users at each meeting, characteristics of meeting-related tweets, and the geographic origin of meeting microbloggers. RESULTS: The use of Twitter microblogging increased by at least 30% by all identifiable meaningful metrics between the 2011 and 2012 RSNA annual meetings, including total tweets, tweets per day, activity of the most active microbloggers, and total number of microbloggers. Similar increases were observed in numbers of North American and international microbloggers. CONCLUSION: Markedly increased use of the Twitter microblogging platform at recent RSNA annual meetings demonstrates the potential to leverage this technology to engage meeting attendees, improve scientific sessions, and promote improved collaboration at national radiology meetings.

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Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples' behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of "leaders" on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of "followers", people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.

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BACKGROUND: Since their inception, Twitter and related microblogging systems have provided a rich source of information for researchers and have attracted interest in their affordances and use. Since 2009 PubMed has included 123 journal articles on medicine and Twitter, but no overview exists as to how the field uses Twitter in research. OBJECTIVE: This paper aims to identify published work relating to Twitter within the fields indexed by PubMed, and then to classify it. This classification will provide a framework in which future researchers will be able to position their work, and to provide an understanding of the current reach of research using Twitter in medical disciplines. METHODS: Papers on Twitter and related topics were identified and reviewed. The papers were then qualitatively classified based on the paper's title and abstract to determine their focus. The work that was Twitter focused was studied in detail to determine what data, if any, it was based on, and from this a categorization of the data set size used in the studies was developed. Using open coded content analysis additional important categories were also identified, relating to the primary methodology, domain, and aspect. RESULTS: As of 2012, PubMed comprises more than 21 million citations from biomedical literature, and from these a corpus of 134 potentially Twitter related papers were identified, eleven of which were subsequently found not to be relevant. There were no papers prior to 2009 relating to microblogging, a term first used in 2006. Of the remaining 123 papers which mentioned Twitter, thirty were focused on Twitter (the others referring to it tangentially). The early Twitter focused papers introduced the topic and highlighted the potential, not carrying out any form of data analysis. The majority of published papers used analytic techniques to sort through thousands, if not millions, of individual tweets, often depending on automated tools to do so. Our analysis demonstrates that researchers are starting to use knowledge discovery methods and data mining techniques to understand vast quantities of tweets: the study of Twitter is becoming quantitative research. CONCLUSIONS: This work is to the best of our knowledge the first overview study of medical related research based on Twitter and related microblogging. We have used 5 dimensions to categorize published medical related research on Twitter. This classification provides a framework within which researchers studying development and use of Twitter within medical related research, and those undertaking comparative studies of research, relating to Twitter in the area of medicine and beyond, can position and ground their work.