Content and User Engagement of Tweets about Hikikomori: A Mixed-Methods Study of Social Withdrawal in Japan (Preprint)

2021 ◽  
Author(s):  
Victor Pereira-Sanchez ◽  
Miguel Angel Alvarez-Mon ◽  
Toru Horinouchi ◽  
Ryo Kawagashi ◽  
Marcus PJ Tan ◽  
...  
Keyword(s):  
Social Support ◽  
Content Analysis ◽  
Mixed Methods ◽  
Social Withdrawal ◽  
Qualitative Content Analysis ◽  
User Engagement ◽  
Logistic Regression Models ◽  
Percentage Points ◽  
Care And Support ◽  
Predicted Probability

BACKGROUND Hikikomori is a form of severe social withdrawal that is particularly prevalent in Japan. Social media posts offer insights into public perceptions of mental health conditions, and also may inform strategies to identify, engage with care, and support hard-to-reach patient populations such as individuals affected by hikikomori. OBJECTIVE We sought to identify types of contents prevalent on Twitter related to hikikomori in Japanese language, and to assess the users’ engagement elicited by those contents. METHODS We conducted a mixed-methods analysis of a random sample of 4,940 Japanese tweets from February-August 2018 with the hashtag (#hikikomori). Qualitative content analysis included examination of the text of tweets, development of a codebook, and categorization of tweets into relevant codes. For quantitative analysis (n=4,859 tweets), we used bivariate and multivariate logistic regression models, adjusted for multiple comparisons, and estimated predicted probabilities of tweets receiving engagement (likes or retweets). RESULTS Our content analysis identified nine codes relevant to tweets about hikikomori: ‘personal anecdotes’, ‘social support’, ‘marketing’, ‘advice’, ‘stigma’, ‘educational opportunities’, ‘refuge (“ibasho”)’, ‘employment opportunities’, and ‘medicine and science’. Tweets about ‘personal anecdotes’ were most common (present in 56% of the tweets), followed by ‘social support’ (18.6%) and ‘marketing’ (12.8%). In adjusted models, tweets coded as ‘stigma’ had a lower predicted probability of receiving likes (-33 percentage points; 95% CI, -42 to -23 percentage points; p < .001) and retweets (-11 percentage points; 95% CI, -18 to -4 percentage points; p <. 001), ‘personal anecdotes’ had a lower predicted probability of receiving retweets (-8 percentage points; 95% CI, -14 to -3 percentage points; p = 0.002), ‘marketing’ had lower predicted probability of receiving likes (-13 percentage points; 95% CI, -21 to -6 percentage points; p < .001), and ‘social support’ had higher predicted probability for retweets (+15 percentage points; 95% CI, +6 to +24 percentage points; p = 0.001), compared with all tweets without each of these codes. CONCLUSIONS Japanese tweets about hikikomori reflect a unique array of topics, many of which have not been identified in prior research and vary in their likelihood of receiving engagement. Tweets often contain personal stories of hikikomori, suggesting the potential to identify individuals with hikikomori through Twitter.

scholarly journals Reasons to stop drinking alcohol among patients with rheumatoid arthritis in Sweden: a mixed-methods study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e024367 ◽  
Author(s):  
Ingrid Larsson ◽  
Maria L E Andersson
Keyword(s):  
Rheumatoid Arthritis ◽  
Content Analysis ◽  
Mixed Methods ◽  
Qualitative Content Analysis ◽  
Well Being ◽  
Work And Family ◽  
Drinking Alcohol ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Open Question

ObjectivesThe aims were to identify patients with rheumatoid arthritis (RA) who had stopped drinking alcohol and compare them with patients drinking alcohol, and to explore reasons for stopping drinking alcohol.DesignA sequential explanatory mixed methods design was used.SettingSix rheumatology clinics in Southern Sweden Better Anti-Rheumatic FarmacOTherapy cohort.ParticipantsA total of 1509 patients completed the questions about alcohol and were included in the study. 86 of these had stopped drinking alcohol and 72 responded to the open question and their answers were analysed with qualitative content analysis.Outcome measuresThe quantitative data were from a cross-sectional survey assessing disease severity, physical function (Health Assessment Questionnaire, HAQ) and health-related quality of life (EuroQol five dimensions, EQ5D), pain, fatigue, patient global assessment (PatGA) and lifestyle factors, for example, alcohol. The questions assessing alcohol included an open question ‘Why have you stopped drinking alcohol?’ResultsThe patients who stopped drinking alcohol were older (median (min-max) 69 (36–90) vs 66 (23–95), p=0.011), had worse HAQ (1.00 (0–2.75) vs 0.50 (0–3.00), p<0.001), worse EQ5D (0.69 (−0.02–1.00) vs 0.76 (−0.58–1.00), p<0.001) worse PatGA (5 (0–10) vs 3 (0–10), p<0.001), more pain (5 (0–10) vs 3 (0–10), p<0.001) and more fatigue (6 (0–10) vs 4 (0–10), p<0.001 compared with patients drinking alcohol. The qualitative content analysis revealed five categories describing reasons for patients with RA to stop drinking alcohol: illness and treatment; health and well-being; work and family; faith and belief; and dependences and abuse.ConclusionsThe patients who had stopped drinking had worse physical functioning and higher levels in pain-related variables. Most stopped drinking due to their illness or a desire to improve health.

scholarly journals Ethical misconduct by registered physiotherapists in South Africa (2007–2013): A mixed methods approach

2015 ◽  
Vol 71 (1) ◽  
Author(s):  
Willem A. Hoffmann ◽  
Nico Nortjé
Keyword(s):  
South Africa ◽  
Content Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Qualitative Content Analysis ◽  
Epidemiological Data ◽  
Unethical Conduct ◽  
Mixed Methods Approach ◽  
Ethical Misconduct ◽  
Patient Consent

Background: The role of ethics in a medical context is to protect the interests of patients. Thus,it is critically important to understand the guilty verdicts related to professional standard breaches and ethics misconduct of physiotherapists.Aim: To analyse the case content and penalties of all guilty verdicts related to ethics misconduct against registered physiotherapists in South Africa.Methods: A mixed methods approach was followed consisting of epidemiological data analysis and qualitative content analysis. The data documents were formal annual lists (2007–2013) of guilty verdicts related to ethical misconduct. Quantitative data analysis focused on annual frequencies of guilty verdicts, transgression categories and the imposed penalties. Qualitative data analysis focused on content analysis of the case content for each guilty verdict.Results: Relatively few physiotherapists (0.05%) are annually found guilty of ethical misconduct. The two most frequent penalties were fines of R5000.00 and fines of R8000.00–R10 000.00. The majority of transgressions involved fraudulent conduct (70.3%), followed by performance of procedures without patient consent (10.8%). Fraudulent conduct involved issuing misleading, inaccurate or false medical statements, and false or inaccurate medical aid scheme claims.Conclusion: Unethical conduct by physiotherapists in South Africa occurs rarely. The majority of penalties imposed on sanctioned physiotherapists were monetary penalties.

Mixed Methods Research in Knowledge Management Studies (2009–2014): A Content Analysis of Journal Articles

2020 ◽  
Vol 19 (03) ◽  
pp. 2050016
Author(s):  
Patrick Ngulube
Keyword(s):  
Knowledge Management ◽  
Content Analysis ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Qualitative Content Analysis ◽  
Reliability And Validity ◽  
Social Contexts ◽  
Future Research ◽  
Qualitative Approaches ◽  
Complex Design

The purpose of this article is to investigate the adoption and utilisation of mixed methods research (MMR) in an emerging field, such as knowledge management (KM). Methodologies used by researchers have a bearing on the reliability and validity of the knowledge they produce. There is need to explore the prevalence in use of various methodologies over time. Such studies provide researchers time to reflect on their research practices. It is important to reflect on how researchers are adopting and utilising MMR approaches and what can be done to improve methodological approaches in research. A qualitative content analysis of articles from five leading KM-centric journals published between 2009 and 2014 was conducted for the research purpose. Our findings contribute to a better understanding of the utilisation of MMR in KM and provide guidance for those seeking to learn about and apply MMR approaches in research in context. Only 1.1% of the studies were classified as representing some form of MMR. Of the eight articles that were sampled, five of them did not explicitly identify themselves as MMR studies. Two of the articles did not give reasons for combining quantitative and qualitative approaches. None of the studies that were examined identified the MMR approach that was employed. Four of the MMR studies were exploratory, three were explanatory and one was convergent. All the articles were partially mixed studies. Few researchers indicated how they prioritised qualitative and quantitative strands. A handful of sampled studies used MMR and employed basic design typologies in contrast to complex typologies. It is recommended that KM research should embrace MMR and use complex design typologies in order to enhance their understanding of the complex problems that KM scholars encounter. Methodological pluralism has the potential of contributing to the growth in knowledge and development of many perspectives in the field: an appreciation of the advantages of using MMR and its potential to provide a holistic, innovative and robust perspective of research phenomena. The selection criteria in this study excluded other journals that cover KM research. Further research may uncover whether the prevalence rates reported in this study are consistent with those journals which were excluded in this study. Methodologies used by researchers for different kinds of research may be different. The research method employed in this study does not have the ability to establish that. Future studies may employ interviews and other data collection techniques in order to triangulate methods to determine why MMR was not prevalent. The future research directions should consider the extent to which personal, interpersonal and social contexts influence researchers to use MMR.

scholarly journals User Experience Methods and Maturity in Academic Libraries

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Scott W. H. Young ◽  
Zoe Chao ◽  
Adam Chandler
Keyword(s):  
Content Analysis ◽  
Mixed Methods ◽  
Statistical Analysis ◽  
User Experience ◽  
Academic Libraries ◽  
Qualitative Content Analysis ◽  
Mixed Methods Study ◽  
Organizational Characteristics ◽  
Recommended Practices ◽  
Survey Responses

This article presents a mixed-methods study of the methods and maturity of user experience (UX) practice in academic libraries. The authors apply qualitative content analysis and quantitative statistical analysis to a research dataset derived from a survey of UX practitioners. Results reveal the type and extent of UX methods currently in use by practitioners in academic libraries. Themes extracted from the survey responses also reveal a set of factors that influence the development of UX maturity. Analysis and discussion focus on organizational characteristics that influence UX methods and maturity. The authors conclude by offering a library-focused maturity scale with recommended practices for advancing UX maturity in academic libraries.

scholarly journals CSR reporting in China’s private and state-owned enterprises: A mixed methods comparative analysis

2021 ◽  
Author(s):  
Irina Ervits
Keyword(s):  
Content Analysis ◽  
Mixed Methods ◽  
Qualitative Content Analysis ◽  
Chinese Government ◽  
Csr Reporting ◽  
Emerging Industries ◽  
The Social ◽  
Responsive Behavior ◽  
Socially Responsive ◽  
Corporate Social

AbstractThe paper pursues a mixed methods approach of conducting both quantitative and qualitative content analysis of corporate social responsibility (CSR) reports in two types of Chinese companies: State-owned (SOE) and non-state-owned (non-SOE) enterprises. Quantitative content analysis revealed overall homogeneity in CSR reporting among SOEs and non-SOEs in China, which can be explained by coercive isomorphism on a national scale. The Chinese government has created an intricate system of incentives encouraging both SOEs and non-SOEs to engage in socially responsive behavior and disclosure. As a result of qualitative analysis, a recurring theme of “strategic emerging industries” (SEI) was identified in the CSR reports of predominantly state-owned banks. This finding provides empirical evidence of the link between the social and economic objectives of the Chinese government, and it shows how state-owned banks mediate between the state and business (SOEs and non-SOEs) as part of a coercive isomorphism apparatus.

Accessibility and Mobilisation of Social Capital in First-Generation Students’ Social Networks—A Mixed-Methods Approach

2020 ◽  
pp. 152102512097964
Author(s):  
Britta Wittner ◽  
Luisa Barthauer ◽  
Simone Kauffeld
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Content Analysis ◽  
Mixed Methods ◽  
Academic Success ◽  
Online Survey ◽  
First Generation ◽  
Social Contexts ◽  
First Generation Students ◽  
Mixed Methods Approach

Social support is a crucial factor for first-generation students’ (FGS) integration at university and their educational success. FGS are often assumed to lack social support and integration, but research shows mixed results. By means of a mixed-methods approach (combination of interviews and online survey), we aimed to shed light on the characteristics in FGS social networks that classify them as high-quality networks in order to obtain a deeper understanding of the structure and setup of the social contexts from which FGS receive support. Using these characteristics, we constructed types of socially supported students and related them to academic success. For that, we conducted N = 40 semi-structured interviews linked to Qualitative Social Network Analysis at an urban German University. Prior to the interviews, the interviewees filled out an online survey (1) consisting of demographic variables and psychological scales. During the interviews (2), we followed a problem-centred interview approach for the first part and then (3) asked about the FGS’s support networks during the beginning of their bachelor’s degrees. All the interviews were coded by applying content analysis. Network maps were analysed using qualitative structural analysis (QSA). Both maps and codes were used to build three types of support as received by the students. These types were in turn connected to the results of the support forms in content analysis and the psychometric scales to estimate how students perceive different structures in their networks as supportive. The results revealed three types: small and dense bijou networks, medium networks with emotionally close alters (close-knit networks), and large and diverse networks (have-it-all networks). The types show different results for university success and perceived support for their networks.

scholarly journals Social Experiences of Adults Using Online Support Forums to Lose Weight: A Qualitative Content Analysis

2019 ◽  
Vol 46 (2_suppl) ◽  
pp. 129S-133S ◽  
Author(s):  
Jean M. Reading ◽  
Karen J. Buhr ◽  
Heather L. Stuckey
Keyword(s):  
Social Support ◽  
Weight Loss ◽  
Content Analysis ◽  
Qualitative Content Analysis ◽  
Social Experiences ◽  
Online Support ◽  
Promote Weight Loss ◽  
Survey Responses ◽  
To Receive

Studies have shown social support can promote weight loss, specifically when support is received online through forums on weight loss websites. The goal of this study was to explore the experiences of individuals using support forums on weight loss websites. We conducted a content analysis on web-administered survey responses from members of two weight loss websites ( N = 340). The findings revealed three major themes: (1) receiving advice, strategies, and mantras are helpful with weight loss; (2) support forums provide a nonjudgmental environment for losing weight; and (3) receiving social support and inspiration from someone similar is helpful with weight loss. These findings suggest online support forums can benefit individuals attempting to lose weight by offering a place to receive nonjudgmental social support from other similar users.

scholarly journals Prevention and Management of Compassion Fatigue (CF) in Clinical Nurses: a Qualitative Content Analysis

2020 ◽  
Author(s):  
azade safa ◽  
Farzaneh Sabery ◽  
Mahdieh Sabery
Keyword(s):  
Social Support ◽  
Content Analysis ◽  
Compassion Fatigue ◽  
Organizational Support ◽  
Qualitative Content Analysis ◽  
Management Strategies ◽  
Self Care ◽  
Community Support ◽  
Structured Interviews ◽  
Support Strategies

Abstract BackgroundPrevention and management of compassion fatigue (CF) is one of the most serious issues facing the nursing profession today because CF is a complex phenomenon with many negative and destructive consequences. Given that cultural, religious, and socioeconomic differences can affect nurses’ perception about preventive strategies of CF; this study was conducted to obtain greater understanding about prevention and management strategies of CF among Iranian nurses. MethodsInductive content analysis study was conducted by the method proposed by Elo and Kyngäs. It includes three steps of open coding, creating classes and abstracting it. Purposive sampling was used to select the nurses in Tehran and Kashan (two cities in the center of Iran). Data was gathered by semi-structured interviews from June to October 2020. ResultsThe following two main themes, 5 categories and 13 subcategories were extracted. The labels of themes included "self-care strategies" and "social support strategies ". Self-care strategies consisted of 2 main categories of problem-based strategies and escape/ avoidance strategies. Social support strategies included 3 main categories of family support, organizational support and community support. ConclusionThe results showed that Iranian nurses use self-care strategies and social support strategies to prevent and manage CF; nevertheless, it seemed social support strategies outweighed self-care strategies. As a result, in addition to the importance of family and organizational support, the governmental support is also noticeable, thus, appropriate policy- making and culture-building activities to promote nursing dignity are necessary.

scholarly journals Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis

2021 ◽  
Vol 18 (17) ◽  
pp. 9106
Author(s):  
Qinghua Yang
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Content Analysis ◽  
Social Engagement ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Social Referencing ◽  
User Engagement ◽  
The Social

Despite the ubiquity of smartphone ownership and the increasing integration of social engagement features in smoking cessation apps to engage users, the social and non-social engagement features that are present in current smoking cessation apps and the effectiveness of these features in engaging users remain understudied. To fill the gap in the literature, a content analysis of free and paid smoking cessation mobile apps was conducted to examine (a) the presence of social features (i.e., social support, social announcement, and social referencing) and non-social engagement features (e.g., personal environmental changes, goal setting, progress tracking, reinforcement tracking, self-monitoring, and personalized recommendations) and (b) their relationships with user engagement scores measured by the Mobile App Rating Scale. In this study, 28.2% of the smoking cessation apps enable social announcement and 8.1% offered the social support feature. Only two apps provided a social referencing feature (1.3%). No app included reinforcement tracking, with the percentage of other non-social engagement features ranging from 9.4% to 49.0%. Social support (β = 0.30, p < 0.001), social announcement (β = 0.21, p < 0.05), and social referencing (β = 0.18, p < 0.05) were significant predictors of user engagement. Regarding the non-social engagement features, personal environment changes (β = 0.38, p < 0.001), progress tracking (β = 0.18, p < 0.05), and personalized recommendations (β = 0.37, p < 0.001) significantly predicted user engagement. The findings not only contribute to the mobile communication literature by applying and extending the theory-based mobile health apps engagement typology, but also inform the future architecture design of smoking cessation mobile apps.

scholarly journals User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis

10.2196/18140 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e18140 ◽  
Author(s):  
Emily Widnall ◽  
Claire Ellen Grant ◽  
Tao Wang ◽  
Lauren Cross ◽  
Sumithra Velupillai ◽  
...  
Keyword(s):  
Content Analysis ◽  
Young People ◽  
Qualitative Content Analysis ◽  
Application Programming Interface ◽  
User Engagement ◽  
User Reviews ◽  
Social Community ◽  
App Store ◽  
Mobile Health Apps ◽  
Technical Features

Background Mobile health apps are increasingly available and used in a clinical context to monitor young people’s mood and mental health. Despite the benefits of accessibility and cost-effectiveness, consumer engagement remains a hurdle for uptake and continued use. Hundreds of mood-monitoring apps are publicly available to young people on app stores; however, few studies have examined consumer perspectives. App store reviews held on Google and Apple platforms provide a large, rich source of naturally generated, publicly available user reviews. Although commercial developers use these data to modify and improve their apps, to date, there has been very little in-depth evaluation of app store user reviews within scientific research, and our current understanding of what makes apps engaging and valuable to young people is limited. Objective This study aims to gain a better understanding of what app users consider useful to encourage frequent and prolonged use of mood-monitoring apps appropriate for young people. Methods A systematic approach was applied to the selection of apps and reviews. We identified mood-monitoring apps (n=53) by a combination of automated application programming interface (API) methods. We only included apps appropriate for young people based on app store age categories (apps available to those younger than 18 years). We subsequently downloaded all available user reviews via API data scraping methods and selected a representative subsample of reviews (n=1803) for manual qualitative content analysis. Results The qualitative content analysis revealed 8 main themes: accessibility (34%), flexibility (21%), recording and representation of mood (18%), user requests (17%), reflecting on mood (16%), technical features (16%), design (13%), and health promotion (11%). A total of 6 minor themes were also identified: notification and reminders; recommendation; privacy, security, and transparency; developer; adverts; and social/community. Conclusions Users value mood-monitoring apps that can be personalized to their needs, have a simple and intuitive design, and allow accurate representation and review of complex and fluctuating moods. App store reviews are a valuable repository of user engagement feedback and provide a wealth of information about what users value in an app and what user needs are not being met. Users perceive mood-monitoring apps positively, but over 20% of reviews identified the need for improvement.

Sign in / Sign up

Export Citation Format

Share Document