Web Use Behaviors for Identifying Mental Health Status

Li, Ang; Zhang, Fan; Zhu, Tingshao

doi:10.1007/978-3-319-02753-1_35

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…The model estimates the dimensions’ scores based on online behavior characteristics and linguistic features over the past 7 days. Validation studies showed that the estimated scores and the actual questionnaire scores were moderately correlated, and the Pearson correlation coefficients ranged from 0.49 to 0.65 [ 22 ]. The major advantage of this method is that people’s mental health can be monitored in a timely manner without asking the subjects to repeatedly complete the same set of questionnaires.…”

Section: Methodsmentioning

confidence: 99%

Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

Liu

Qiao

et al. 2021

Healthcare

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During the COVID-19 pandemic, every day, updated case numbers and the lasting time of the pandemic became major concerns of people. We collected the online data (28 January to 7 March 2020 during the COVID-19 outbreak) of 16,453 social media users living in mainland China. Computerized machine learning models were developed to estimate their daily scores of the nine dimensions of the Symptom Checklist—90 (SCL-90). Repeated measures analysis of variance (ANOVA) was used to compare the SCL-90 dimension scores between Wuhan and non-Wuhan residents. Fixed effect models were used to analyze the relation of the estimated SCL-90 scores with the daily reported cumulative case numbers and lasting time of the epidemic among Wuhan and non-Wuhan users. In non-Wuhan users, the estimated scores for all the SCL-90 dimensions significantly increased with the lasting time of the epidemic and the accumulation of cases, except for the interpersonal sensitivity dimension. In Wuhan users, although the estimated scores for all nine SCL-90 dimensions significantly increased with the cumulative case numbers, the magnitude of the changes was generally smaller than that in non-Wuhan users. The mental health of Chinese Weibo users was affected by the daily updated information on case numbers and the lasting time of the COVID-19 outbreak.

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Section: Methodsmentioning

confidence: 99%

Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

Liu

Qiao

et al. 2021

Healthcare

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“…On the other hand, eHealth engagement as the second gap of the digital divide has also been viewed as a positive factor in improving actual health outcomes according to the theory. For instance, [18] found that Internet use can reduce mental problems among elder adults, and this effect was also observed in younger populations [19]. Additionally, the role of Internet use in improving physical health has been identified as positive in both young and elder populations [20,21].…”

Section: Ehealth Engagement Motivational and Actual Health Outcomesmentioning

confidence: 98%

How Does Internet Access Influence Health Status? Moderated Mediation Model Based on the Digital Divide (Preprint)

Ao,

Li,

Zhu

et al. 2024

Preprint

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BACKGROUND Nowadays, a number of people have Internet access in the U.S. Despite there being strong reasons to assume that Internet diffusion may improve individuals’ health status, there remain some questions. OBJECTIVE Information and communication technologies (ICT) play an important role in almost every aspect of citizens’ lives. However, access to these technologies is not equally distributed among all groups, which can cause inequality. The current study aims to reveal the mechanism of how internet access influences individuals’ health outcomes based on the digital divide theory. METHODS The empirical data for this study were drawn from the Health Information National Trends Survey (HINTS) 5, cycle 4, 2020 (N=3,635). Mediation and moderation analyses were conducted to test the hypotheses proposed in this study. RESULTS The study investigated the digital divide at all three levels (access, skill & use, and outcome). The findings reveal that Internet access is positively associated with health status through the serial mediation of eHealth engagement and health efficacy. The study also identified health self-efficacy as a mediator between the second (skill & use) and third (outcome) of the digital divide. Additionally, the study found a negative moderation effect of education on the relationship between Internet access and eHealth engagement. CONCLUSIONS To promote better public health conditions, it is essential to ensure more equitable access to the Internet. Internet access can improve individuals’ eHealth engagement, which can then facilitate their health self-efficacy and eventually enhance their overall health condition. Furthermore, we recommend that healthcare providers pay more attention to patients’ health self-efficacy during online interactions and information offerings.

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“…Traditional psychological methods, such as questionnaires, are impractical for the extensive sampling required across China's thirty-plus provinces over a decade. In contrast, social media platforms like Sina Weibo, with its 566 million monthly active users and a dataset extending back to 2010 [38,39], provide a rich source for non-invasive public psychology and behavior analysis through big data analytics of user activities [40][41][42]. By leveraging this extensive dataset, our study employs a validated machine-learning model [4,43,44] to assess SWB based on the text of social media posts.…”

Section: H2: Income Inequality Exerts a Negative Influence On Swb Wit...mentioning

confidence: 99%

“…In this case, Weibo's API facilitated systematic access to and collection of large-scale data from the platform, aiding in the analysis of usergenerated content. For constructing regional Subjective Well-Being (SWB), text data was sourced from an initial pool of over 1.16 million Sina Weibo users [41]. Recognized as China's leading microblogging platform, Sina Weibo promotes the exchange and discussion of personal experiences, lifestyle activities, and celebrity news [45].…”

Section: Data Collection and Preprocessingmentioning

confidence: 99%

“…Pearson correlation coefficients across all six SWB domains between predicted and self-reported scores were significantly strong [4,5]. Detailed discussions on the model's methodology and its applications are provided in [4,41,44]. Initially, the TextMind framework [48] was utilized to extract psycholinguistic features from the original posts of active Sina Weibo users.…”

Section: Variable Selection and Calculationmentioning

confidence: 99%

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Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics

Huang,

Ding,

Han

et al. 2024

PLoS ONE

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The Easterlin paradox questions the link between economic growth and national well-being, emphasizing the necessity to explore the impact of economic elasticity, income inequality, and their temporal and spatial heterogeneity on subjective happiness. Despite the importance of these factors, few studies have examined them together, thus ongoing debates about the impact of economics on well-being persist. To fill this gap, our analysis utilizes 11 years of panel data from 31 provinces in China, integrating macroeconomic indicators and social media content to reassess the Easterlin paradox. We use GDP per capita and the Gini coefficient as proxies for economic growth and income inequality, respectively, to study their effects on the subjective well-being expressed by citizens on social media in mainland China. Our approach combines machine learning and fixed effects models to evaluate these relationships. Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. This study makes a synthetic contribution to the debate on the Easterlin paradox, indicating that economic growth can enhance well-being if income inequality is kept below a certain level. Although these results are theoretically enlightening for the relationship between economics and national well-being globally, this study’s sample comes from mainland China. Due to differences in cultural, economic, and political factors, further research is suggested to explore these dynamics globally.

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Web Use Behaviors for Identifying Mental Health Status

Cited by 9 publications

References 35 publications

Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

How Does Internet Access Influence Health Status? Moderated Mediation Model Based on the Digital Divide (Preprint)

Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics

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