OBJECTIVES: This study aims to identify the determinants associated with Twitter use in psychiatric consultations and to assess the level of satisfaction in using the microblogging platform. In addition, the level of e-health literacy is also assessed among users.

METHODS: The target population included Twitter users seeking psychiatric consultation. A leading psychiatrist's twitter account with 4.5 million followers was selected and consent obtained. A validated Patient Satisfaction Questionnaire was adopted to assess the level of satisfaction in Twitter use and e-health literacy. The questionnaire was tagged to the chosen Twitter account and reminders were sent until the sample size was reached. Data was analysed using SPSS version 22.0. The analysis included descriptive statistics tabulation, multi-response analysis, and cross-tabulation for satisfaction variables and the chi-square test was used to measure association between different variables.

RESULTS: The study obtained 155 completed response sheets, of which 52 were Twitter users seeking psychiatric advice while the rest sought general health advice. Most of the study participants were females (71.6 %). Women, single status and income range between 4000-9000 Saudi riyal were found to be significantly associated with Twitter use for psychiatric consultation. Generally, most of the participants were satisfied with Twitter in seeking psychiatric consultation that reduced financial disbursement. Furthermore, concerns were expressed regarding the waiting period, word limitations and issues of privacy. The e-health literacy was higher among the participants.

METHODS: Dental students from 4 institutions in Malaysia and Finland completed self-administered questionnaires on the practices and perceptions of SM use. The main variables assessed were the perceptions and practices of student-patient and student-faculty communication on SM, between the two countries. Students' country, age, gender, time spent on SM and perceived importance of communicating dental related aspects over SM were analysed as potential explanatory variables. Crosstabulation was used to estimate the distributions of the response variables by the background characteristics. Multivariate analyses were performed using a dichotomous logistic regression model to investigate relevant associations between the responses and the explanatory variables independent from other factors.

RESULTS: A total of 643 students completed the survey in March-April 2021. More Malaysian students agreed with "guiding patients online is a new responsibility for dentists in the digital age" compared to Finnish students (86.4% vs. 73.4%). Similarly, significantly more Malaysian students befriended patients (14.1% vs. 1%) and invited faculty to be friends on SM (73.6% vs. 11.8%). Expectedly, clinical year students befriended patients more than pre-clinical (13.8% vs. 6.8%). Significantly more students who felt 'communication of dental related issues over SM' were likely to extend friend requests to faculty rather than accept patient friend requests.

METHODS: This study examined the profile activity, content performance, and demographic characteristics of followers from a single OMS-related Instagram account. Variables assessed include the total number of followers since the account's inception, profile views over the selected time period, and unique media content posts, as well as likes, comments, saves, impressions, and reach for all media content posts. The top 45 countries, cities, and languages based on each follower's geolocation and user settings were also included.

RESULTS: There were 9569 followers of which 6208 (64.9%) were listed as public accounts. Of the 6208 followers with public accounts, 2496 (40.2%) were female. The countries with the most followers included the United States (31.7%), India (12.5%), Malaysia (5.3%), Mexico (4.0%), and Pakistan (3.6%). The cities with the most followers included New York, New York (8.9%), Boston, Massachusetts (5.2%), Cairo, Egypt (4.3%), Santiago, Chile (3.7%), and Karachi, Pakistan (3.5%).

METHODS: An online survey collected 240 responses from women social media users. The questionnaire was divided into demographics, social media use patterns like access, online time, frequency of use, social media uses, online social capital and psychological well-being. The obtained responses were statistically analyzed using Smart PLS.

RESULTS: Pakistani women use social media extensively; however, their uses are culturally influenced. The women use social media and socialize online but do not openly disclose their personalities and emotions to extend the connection. They seek information only from acquaintances and do not trust newly developed online contacts. Therefore, the mediation role of bonding social capital is significant, referring to the importance of close ties and trust in psychological well-being. Though virtual spaces provide an opportunity for bridging social capital, women use social media for socialization; however, it doesn't contribute to women's psychological well-being.

OBJECTIVE: This study examined the COVID-19 pandemic-related topics online users discussed with a commercially available social chatbot and compared the sentiment expressed by users from 5 culturally different countries.

METHODS: We analyzed 19,782 conversation utterances related to COVID-19 covering 5 countries (the United States, the United Kingdom, Canada, Malaysia, and the Philippines) between 2020 and 2021, from SimSimi, one of the world's largest open-domain social chatbots. We identified chat topics using natural language processing methods and analyzed their emotional sentiments. Additionally, we compared the topic and sentiment variations in the COVID-19-related chats across countries.

RESULTS: Our analysis identified 18 emerging topics, which could be categorized into the following 5 overarching themes: "Questions on COVID-19 asked to the chatbot" (30.6%), "Preventive behaviors" (25.3%), "Outbreak of COVID-19" (16.4%), "Physical and psychological impact of COVID-19" (16.0%), and "People and life in the pandemic" (11.7%). Our data indicated that people considered chatbots as a source of information about the pandemic, for example, by asking health-related questions. Users turned to SimSimi for conversation and emotional messages when offline social interactions became limited during the lockdown period. Users were more likely to express negative sentiments when conversing about topics related to masks, lockdowns, case counts, and their worries about the pandemic. In contrast, small talk with the chatbot was largely accompanied by positive sentiment. We also found cultural differences, with negative words being used more often by users in the United States than by those in Asia when talking about COVID-19.