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.

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.

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.

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.

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.

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.