Associations between Social Media Use and Sleep Quality in China:Exploring the Mediating Role of Social Media Addiction

Sleep quality is closely linked to people’s health,and during the COVID-19 pandemic,the sleep patterns of residents in China were notably poor.The lockdown in China led to an increase in social media use,prompting questions about its impact on sleep.Therefore,this study investigates the association between social media use and sleep quality among Chinese residents during the COVID-19 outbreak,highlighting the potential mediating role of social media addiction.Data were collected via questionnaires through a cross-sectional survey with 779 valid responses.Variance analysis was used to test for differences in social media use among different demographic variables.Bivariate correlation analysis was employed to explore the relationships between variables,while regression analysis investigated the correlations between various media factors and sleep quality.Additionally,Bootstrap sampling was utilized to analyze the potential mediating influence of social media addiction in the relationship between social media use and sleep.The study's findings reveal a significant correlation between social media use,particularly before bedtime,and sleep quality(p<0.01),with pre-sleep activity notably linked to poorer overall sleep scores(β=0.141,p=0.004).Although the daily use of social media did not directly impact most individuals’sleep quality,specific platforms like news apps,short video apps,dating apps,and content community platforms were associated with higher levels of social media addiction,subsequently negatively affecting sleep quality.Specifically,the use of news apps(B=0.068,95%CI[0.000,0.019]),short video apps(B=0.112,95%CI[0.001,0.031]),dating apps(B=0.147,95%CI[0.000,0.028]),and content community platforms(B=0.106,95%CI[0.001,0.028])was found to increase the risk of social media addiction,subsequently leading to adverse effects on sleep quality.The study underscores a notable link between social media use and sleep quality,suggesting that mindful social media habits,particularly before bedtime,and reducing addiction-associated apps could enhance sleep quality.

Potential use of large language models for mitigating students’problematic social media use:ChatGPT as an example

The problematic use of social media has numerous negative impacts on individuals'daily lives,interpersonal relationships,physical and mental health,and more.Currently,there are few methods and tools to alleviate problematic social media,and their potential is yet to be fully realized.Emerging large language models(LLMs)are becoming increasingly popular for providing information and assistance to people and are being applied in many aspects of life.In mitigating problematic social media use,LLMs such as ChatGPT can play a positive role by serving as conversational partners and outlets for users,providing personalized information and resources,monitoring and intervening in problematic social media use,and more.In this process,we should recognize both the enormous potential and endless possibilities of LLMs such as ChatGPT,leveraging their advantages to better address problematic social media use,while also acknowledging the limitations and potential pitfalls of ChatGPT technology,such as errors,limitations in issue resolution,privacy and security concerns,and potential overreliance.When we leverage the advantages of LLMs to address issues in social media usage,we must adopt a cautious and ethical approach,being vigilant of the potential adverse effects that LLMs may have in addressing problematic social media use to better harness technology to serve individuals and society.

Application of Social Media Tool in Disaster Management in Disaster-Prone Communities in Freetown, Sierra Leone

This study used both the “digital divide” and “attribution theory” to analyze the propensity of social media use by disaster-prone communities. The study focused on the variables that may affect how social media is used for disaster management. Structural equation modeling (SEM) was utilized in the study to analyze the data and test the hypotheses after using a survey questionnaire to collect the data. The study’s findings show that: 1) communities that are vulnerable to disasters are less likely to use social media for disaster management, 2) personal effort and intention to use social media for disaster management are positively correlated, and 3) task complexity and intention to use social media for disaster management are negatively correlated. The study added to the body of knowledge regarding the role social media plays in disaster management.

Identification of Heterogeneity of Social and Economic Environment of Land Uses in China

The robust principal component analysis （RPCA） is a technique of multivariate statistics to assess the social and economic environment quality. This paper aims to explore a RPCA algorithm to analyze the spatial heterogeneity of social and economic environment of land uses （SEELU）. RPCA supplies one of the most efficient methods to derive the most important components or factors affecting the regional difference of the social and economic environment. According to the spatial distributions of the levels of SEELU,the total land resources of China were divided into eight zones numbered by Ⅰ to Ⅷ which spatially referred to the eight levels of SEELU.

Social Media Use for Information-Sharing Activities Among Youth in Malaysia

Social media are popular among youth for sharing information. This study tries to explore the popularity of the social media sites, the level of use of the social media sites, the types of information-sharing activities involved on the social media sites, to compare youth of various background in relation to information-sharing activities, and to analyze the relationship between the level of social media use and the information-sharing activities among youth. This study employs a quantitative research design, using survey method with questionnaire as the research instrument used for data collection. In this study, youth aged between 17-40 years old nationwide were surveyed. The study was developed based on the user and gratification theory （Blumler ＆ Katz, 1974）. Findings showed that youth always （five to seven days per week） use social media to share information including personal information. Results also showed that youth used the social media more for sharing negatively-oriented information compared to the positively-oriented information. Although there were more items on the positively-oriented information-sharing activities but more youth spent their time on the negatively-oriented information-sharing activities. The results are supported by a strong relationship between frequency of use and the negatively-oriented information-sharing activities.

Understanding Antecedents of Civic Engagement in the Age of Social Media:From the Perspective of Efficacy Beliefs

This study examines three efficacy beliefs-political self-efficacy,political collective efficacy,and knowledge sharing efficacy-as antecedents of social media use and civic engagement.Employing more than one thousand samples in Singapore,we empirically test(a)a conceptual framework that can provide an understanding of the relationship between the three types of efficacy and civic engagement and(b)the underlying mechanism through which the three types of efficacy beliefs affect civic engagement via social media.The findings suggest that knowledge sharing efficacy was found to play an important role in mediating the relationships between social media use and political self-efficacy,political collective efficacy,respectively,which,in turn,influences the social media use.

A Cumulative Proportional Odds Model to Analyze the Influence of Mass Media on Teenagers in Messina

The media are constantly evolving at a breakneck pace and mainly young people, with their flexibility of mind and their continuous curiosity, can better understand the characteristics and potential of such advances. The aim of this paper is to analyze the relationship between teenagers and media, in order to try to better understand the habits and to conduct analysis on social interactions with young people. In order to evaluate the influence of mass media in the life of the young people, the Statisticians of Messina University decided to perform a statistical survey to evaluate the influence of the media in the life of Messina＇s teenagers. A questionnaire entitled ＂Perceptions of the influence exerted by mass media＂ was administered in some schools. From the methodological point of view, three statistical models were estimated in order to formalize the dependence of the mass media influence by the kind of TV programs, the time spent on TV viewing and computer use and the kind of most used social networks. Since the mass media influence is an ordinal variable expressed by four ordered categories （1 = nothing; 2 = low; 3 = average; 4 = high） we used the Cumulative Proportional Odds Model to formalize the dependence by the potential predictors.

Factors of heavy social media use among 13-year-old adolescents on weekdays and weekends

Background Few studies have investigated which factors were related to adolescents'social media use.This study aimed to evaluate which factors were associated with heavy social media use on weekdays and weekends among 13-year-old adolescents.Methods We analyzed data from 3727 children from the Generation R Study,a population-based cohort study in the Neth-erlands.Associations of demographic factors(child age,sex,ethnic background,and family situation),socioeconomic posi-tion(parental educational level,parental employment status,and net household income),screen-based behaviors(computer playing and TV viewing),and the home environment(communication,supervision,and restriction)with adolescents'heavy social media use(≥2 hours/day)were assessed separately on weekdays and weekends.Multivariate logistic regression analysis was applied.Results The prevalence of heavy social media use was 37.7%on a weekday and 59.6%on a weekend day.Being a girl,liv-ing in a one-parent family,and more time spent playing on the computer were associated with heavy social media use on weekdays and weekends(all P<0.05).Low socioeconomic position adolescents(low parental educational level and low household income)were more likely to show heavy social media use only on weekends(all P<0.05).Children whose social media use was restricted by parents on weekdays or children whose social media use was supervised by parents on weekends had lower odds of heavy social media use(all P<0.05).Conclusions Being a girl,living in a one-parent family,or having a longer computer playing time were associated with heavy social media use on weekdays and weekends.More studies are needed to understand the factors associated with heavy social media use and the impact of heavy social media use on child health.

Examining the Factors that Influence the Use of Social Media for Disaster Management by Underserved Communities

This study examined the propensity of social media use by underserved communities by drawing on the literature on the digital divide and attribution theory.Specifically,this research explored the factors that can influence the use of social media for disaster management.The study used survey methodology to collect data and partial least squares structural equation modeling(PLSSEM)to analyze the data and test the hypotheses.The results of the study indicate:(1)that the propensity of social media use for disaster management is low for underserved communities;(2)a positive relationship between an individual’s effort and the intention to use social media for disaster management;and(3)a negative relationship between task difficulty and the intention to use social media for disaster management.The study expanded the literature on the use of social media in disaster management.The article also provides both theoretical and practical implications.

1Chinese human geography and its contributions

The aim of this paper is to sift through examples of outstanding contributions made by Chinese human geography in terms of social applications and explain the basic concepts and theoretical methods explored by human geography that are behind the applications of results with major social influence, so as to be able to summarize the main school that represents developments in contemporary Chinese human geography. Chinese human geography upholds the subject＇s designation as being integrated and interdisciplinary. Research focuses on interactions between the natural and human spheres of the Earth＇s surface, and it is guided by the understanding and effects of the processes of regional sustainable development at different spatial scales. Chinese human geography has innovatively established the following development paradigm： ＂To be guided by application requirements, refine key issues of the discipline in the course of solving major issues of human geography in national and regional development, and by solving those key issues, to enhance its ability to provide scientific and technological support to serve national and local needs while promoting its own development.＂ Results from early Chinese human geography studies on land use and agricultural zoning, recent research results on point-axis system models and T-shaped national spatial development patterns, and current research results on territorial function theory and major function oriented zones have all continued and strengthened the mainstream school of Chinese human geography and have avoided the global tendency for human geography to become rapidly human-oriented, while results have been applied at the highest level of decision-making management. Chinese human geography can provide lessons for developing countries and may play a leading role in the future development of global human geography.