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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
A Four-Level Meta-Analytic Review Of The Relationship Between Social Media And Well-Being: A Fresh Perspective In The Context Of Covid-19, Joax Wong, Xin Yi Poh, Frosch Quek, Verity Lua, Nadyannam M. Majeed, Andree Hartanto
A Four-Level Meta-Analytic Review Of The Relationship Between Social Media And Well-Being: A Fresh Perspective In The Context Of Covid-19, Joax Wong, Xin Yi Poh, Frosch Quek, Verity Lua, Nadyannam M. Majeed, Andree Hartanto
Research Collection School of Social Sciences
Social media, one of the most pervasive forms of technology, has been widely studied in relation to the mental health and well-being of individuals. However, the current literature on social media and well-being has provided mixed and inconclusive findings, thus creating a polarizing view of social media. These mixed findings continue to extend into the pandemic, with researchers debating over the effects of social media in the new norms of social isolation. In light of these inconclusive findings, the aim of our meta-analysis was to synthesize previous research data in order to have a holistic understanding of the association between …
Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective, Andree Hartanto, Frosch Yi Xuan Quek, Yue Qi Germaine Tng, Jose C. Yong
Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective, Andree Hartanto, Frosch Yi Xuan Quek, Yue Qi Germaine Tng, Jose C. Yong
Research Collection School of Social Sciences
According to the World Health Organization (1), 264 million individuals worldwide suffer from depression—a condition characterized by feelings of low self-worth, impaired concentration, and disturbed sleep, among various other maladaptive symptoms (2). Adolescents between 13 and 18 years of age are also vulnerable (3), with a 52% increase in the prevalence of depression among adolescents from 2005 to 2017 (4). Depression is tied to many serious problems including failure to complete education, higher unplanned parenthood rates, poorer interpersonal relations, and heightened risk of substance abuse and suicidality (5–7).
Big Data In Social And Psychological Science: Theoretical And Methodological Issues, Lin Qiu, Sarah Hian May Chan, David Chan
Big Data In Social And Psychological Science: Theoretical And Methodological Issues, Lin Qiu, Sarah Hian May Chan, David Chan
Research Collection School of Social Sciences
Big data presents unprecedented opportunities to understand human behavior on a large scale. It has been increasingly used in social and psychological research to reveal individual differences and group dynamics. There are a few theoretical and methodological challenges in big data research that require attention. In this paper, we highlight four issues, namely data-driven versus theory-driven approaches, measurement validity, multi-level longitudinal analysis, and data integration. They represent common problems that social scientists often face in using big data. We present examples of these problems and propose possible solutions.
What Do Chinese Really Think About Democracy And India?, Devin K. Joshi, Yizhe Xu
What Do Chinese Really Think About Democracy And India?, Devin K. Joshi, Yizhe Xu
Research Collection School of Social Sciences
There has been much speculation about whether China will democratize and avoid conflict with India in the twenty-first century. Yet, few studies have investigated how contemporary Chinese view India and its democracy. Addressing this gap in the literature, the authors examined Chinese media coverage of India’s two-month long April–May 2014 parliamentary election, the largest election in world history, through systematic analysis of over 500 articles from ten major mass media outlets and over 27,000 messages transmitted on Sina Weibo social media. As might be expected, Chinese mass media generally portrayed India and its elections in a condescending fashion while avoiding …
Issues Of Social Data Analytics With A New Method For Sentiment Analysis Of Social Media Data, Zhaoxia Wang, Victor J. C. Tong, David Chan
Issues Of Social Data Analytics With A New Method For Sentiment Analysis Of Social Media Data, Zhaoxia Wang, Victor J. C. Tong, David Chan
Research Collection School of Social Sciences
Social media data consists of feedback, critiques and other comments that are posted online by internet users. Collectively, these comments may reflect sentiments that are sometimes not captured in traditional data collection methods such as administering a survey questionnaire. Thus, social media data offers a rich source of information, which can be adequately analyzed and understood. In this paper, we survey the extant research literature on sentiment analysis and discuss various limitations of the existing analytical methods. A major limitation in the large majority of existing research is the exclusive focus on social media data in the English language. There …
Putting Their Best Foot Forward: Emotional Disclosure On Facebook, Lin Qiu, Han Lin, Angela K. Y. Leung, William Tov
Putting Their Best Foot Forward: Emotional Disclosure On Facebook, Lin Qiu, Han Lin, Angela K. Y. Leung, William Tov
Research Collection School of Social Sciences
Facebook has become a widely used online self-representation and communication platform. In this research, we focus on emotional disclosure on Facebook. We conducted two studies, and results from both self-report and observer rating show that individuals are more likely to express positive relative to negative emotions and present better emotional well-being on Facebook than in real life. Our study is the first to demonstrate impression management on Facebook through emotional disclosure. We discuss important theoretical and practical implications of our study.