Social Science Computer Review最新文献_第3页

The Role of Physical Appearance Comparison, Self-Esteem, and Emotional Control in the Association Between Social Media Addiction and Masculine Depression 外表比较、自尊和情绪控制在社交媒体成瘾与男性抑郁关系中的作用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-01-30 DOI: 10.1177/08944393251315915

Maya Kagan, Uzi Ben-Shalom, Michal Mahat-Shamir

{"title":"The Role of Physical Appearance Comparison, Self-Esteem, and Emotional Control in the Association Between Social Media Addiction and Masculine Depression","authors":"Maya Kagan, Uzi Ben-Shalom, Michal Mahat-Shamir","doi":"10.1177/08944393251315915","DOIUrl":"https://doi.org/10.1177/08944393251315915","url":null,"abstract":"Social media has become an integral part of daily life, shaping behaviors, self-perception, and emotional well-being. However, its addictive use raises concerns about its potential to aggravate psychological challenges, particularly in the context of societal expectations of masculinity. The current report presents a study exploring the pathways through which social media addiction contributes to masculine depression, specifically examining the roles of physical appearance comparison, self-esteem, and emotional control among men. By investigating these relationships, it aims to provide insights into the psychological consequences of social media addiction for men. Structured questionnaires were administered to 849 Israeli men aged 18 and older. Employing a moderated sequential mediation model with social media addiction as the independent variable, physical appearance comparison and self-esteem as mediators, and masculine depression as the dependent variable, this study also investigates emotional control as a moderator in the associations between social media addiction, physical appearance comparison, self-esteem, and masculine depression. The analysis, conducted using model 89 PROCESS v4.2 macro, reveals that conforming to the masculine norm of emotional control intensifies men’s vulnerability to distress resulting from maladaptive behaviors such as social media addiction, which can lead to masculine depression. Furthermore, addiction to social media can trigger masculine depression via psychosocial factors such as physical appearance comparison and low self-esteem, which have yet to be explored in the context of masculine depression. These findings underscore the importance of targeted interventions that address the societal pressures of masculinity and the psychological repercussions of excessive social media use among men. They also emphasize the necessity of raising awareness about these issues among both the public and therapists.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"122 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143071509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning and Political Events: Application of a Semi-supervised Approach to Produce a Dataset on Presidential Cabinets 机器学习与政治事件：应用半监督方法生成总统内阁数据集

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-01-20 DOI: 10.1177/08944393251315917

Bastián González-Bustamante

引用次数: 0

A Dual-Role Trust Model for Social Media Influencers: The Paradox of Perceived Friendship 社交媒体影响者的双重角色信任模型：感知友谊的悖论

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-12-24 DOI: 10.1177/08944393241311586

Shang Chen, Xuefei Xu, Qingfei Min, Lin Liu

引用次数: 0

Testing Motivation-Based vs. Social Exchange Communication Strategies in Email Survey Recruitment 在电子邮件调查招聘中测试基于动机与社交交换的沟通策略

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-12-18 DOI: 10.1177/08944393241308509

Jason Kosakow, Pierce Greenberg

{"title":"Testing Motivation-Based vs. Social Exchange Communication Strategies in Email Survey Recruitment","authors":"Jason Kosakow, Pierce Greenberg","doi":"10.1177/08944393241308509","DOIUrl":"https://doi.org/10.1177/08944393241308509","url":null,"abstract":"Despite well-documented challenges, researchers across the social sciences continue to rely on email to recruit research participants. However, few studies examine how different communication strategies impact email open and conversion rates, especially among surveys of establishments. Our paper aims to fill that gap by examining whether motivation-based appeals—which we develop from respondents’ reasons for participating—outperform a communication approach based on social exchange theory. Our study identified the top three motivations why current panel members participate in the Federal Reserve Bank of Richmond Business Survey: (1) access to data and other benefits, (2) the ability to influence economic policy, and (3) to help make their communities better. Then, we crafted email subject lines and messages to match those three motivations and a version based on tenets of social exchange theory. Our results find that the social exchange version outperforms the motivation-based appeals in both email open and conversion rates—with a stronger influence on conversion rates. We discuss the implications of these results for how social science researchers communicate with potential research participants by email.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"22 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asking for Traces: A Vignette Study on Acceptability Norms and Personal Willingness to Donate Digital Trace Data 询问痕迹：关于捐赠数字痕迹数据的可接受性规范和个人意愿的小研究

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-12-09 DOI: 10.1177/08944393241305776

Henning Silber, Johannes Breuer, Barbara Felderer, Frederic Gerdon, Patrick Stammann, Jessica Daikeler, Florian Keusch, Bernd Weiß

{"title":"Asking for Traces: A Vignette Study on Acceptability Norms and Personal Willingness to Donate Digital Trace Data","authors":"Henning Silber, Johannes Breuer, Barbara Felderer, Frederic Gerdon, Patrick Stammann, Jessica Daikeler, Florian Keusch, Bernd Weiß","doi":"10.1177/08944393241305776","DOIUrl":"https://doi.org/10.1177/08944393241305776","url":null,"abstract":"Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example, due to privacy concerns. To assess which factors in a data donation request are relevant for participants’ acceptance and decisions, we conducted a vignette experiment investigating the general acceptability and personal willingness to donate various data types (i.e., data from GPS, web browsing, LinkedIn/Xing, Facebook, and TikTok) for research purposes. The preregistered study was implemented in the probability-based German Internet Panel (GIP) and gathered responses from n = 3821 participants. Results show that people rate the general acceptability of data donation requests higher than their own willingness to donate data. Regarding the different data types, respondents indicated that they would be more willing to donate their LinkedIn/Xing, TikTok, and GPS data compared to web browsing and Facebook data. In contrast, information about whether the donated data would be shared with other researchers and data security did not affect the responses to the respective donation scenarios. Based on these results, we discuss implications for studies employing data donations.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"83 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142796796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

People, Platforms, and Places: The Conditional Effects of Psychological Distances on Livestream Viewership 人、平台和地点：心理距离对直播收视率的条件影响

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-12-02 DOI: 10.1177/08944393241305780

Zhang Hao Goh, Minzheng Hou, Edson C. Tandoc

引用次数: 0

Has ChatGPT Disrupted the Education Sector in the U.S.? ChatGPT 是否颠覆了美国的教育领域？

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-11-22 DOI: 10.1177/08944393241301330

Erik Haugom, Štefan Lyócsa, Martina Halousková

{"title":"Has ChatGPT Disrupted the Education Sector in the U.S.?","authors":"Erik Haugom, Štefan Lyócsa, Martina Halousková","doi":"10.1177/08944393241301330","DOIUrl":"https://doi.org/10.1177/08944393241301330","url":null,"abstract":"The introduction of ChatGPT and other tools based on artificial intelligence (AI) has the potential to revolutionize the field of education. We study how the public release of ChatGPT and the increased attention on this new large language model from OpenAI are associated with the expected returns of publicly traded firms that operate in the education sector. We also perform separate subgroup analyses for the traditional education sector and the so-called education technology sector. Using linear and threshold CAPM-GARCH models, we find that after the public release of ChatGPT, both the education sector as a whole and the education technology sector have underperformed benchmarks. Our results show that increased attention leads to lower next-day returns in the education sector as a whole and the education technology sector in particular. Additionally, during periods of higher attention, expected returns tend to decline in these two sectors. We also show that the introduction of ChatGPT or the increased interest in this AI tool in the population does not affect the traditional education sector. The introduction of ChatGPT thus has a heterogeneous effect across the various education sectors we examine, with the education technology sector receiving most of the disruption.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"24 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Moderating Role of Self-Esteem in the Relationship Between Social Media Use and Life Satisfaction Among Older Adults 自尊在社交媒体使用与老年人生活满意度关系中的调节作用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-11-15 DOI: 10.1177/08944393241301045

Yesolran Kim

引用次数: 0

Feminist Identity and Online Activism in Four Countries From 2019 to 2023 2019 年至 2023 年四个国家的女权主义者身份和网络活动

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-11-15 DOI: 10.1177/08944393241301050

Shelley Boulianne, Katharina Heger, Nicole Houle, Delphine Brown

{"title":"Feminist Identity and Online Activism in Four Countries From 2019 to 2023","authors":"Shelley Boulianne, Katharina Heger, Nicole Houle, Delphine Brown","doi":"10.1177/08944393241301050","DOIUrl":"https://doi.org/10.1177/08944393241301050","url":null,"abstract":"The COVID-19 pandemic heightened burdens on caregivers, but also the visibility of caregiving inequalities. These grievances may activate a feminist identity which in turn leads to greater civic and political participation. During a pandemic, online forms of participation are particularly attractive as they require less effort than offline forms of participation and pose less health risks compared to collective forms of offline activism. Using survey data from four countries (Canada, France, the United States, and the United Kingdom) collected in 2019 (prior to the pandemic), 2021 (during the pandemic), and 2023 (post-pandemic), we examine the relationship between self-identifying as a feminist and signing online petitions ( n = 18,362). Our multivariate analyses show that having a feminist identity is positively related to signing online petitions. We consider the differential effects of this identity on participation for men, women, non-binary people; caregivers versus non-caregivers; and respondents in different countries with varying levels of restrictions due to the pandemic. A feminist identity is more important for mobilizing caregivers than non-caregivers, whether or not the caregiver is a man or a woman. While grievance theory suggests differential effects by country and time period, we find a consistent role of feminist identity in predicting the signing of online petitions across time and across countries. These findings offer insights into how different groups in varying contexts are mobilized to participate.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"16 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution 提高个人层面网络跟踪的质量：现有方法面临的挑战与新内容和长尾敏感学术解决方案的介绍

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-10-16 DOI: 10.1177/08944393241287793

Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de León, Roberto Ulloa

{"title":"Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution","authors":"Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de León, Roberto Ulloa","doi":"10.1177/08944393241287793","DOIUrl":"https://doi.org/10.1177/08944393241287793","url":null,"abstract":"This article evaluates the quality of data collection in individual-level desktop web tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard for the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic web tracking solution, WebTrack, an open-source tracking tool maintained by a major European research institution, GESIS. The design logic, the interfaces, and the backend requirements for WebTrack are discussed, followed by a detailed examination of the strengths and weaknesses of the tool. Finally, using data from 1,185 participants, the article empirically illustrates how an improvement in data collection through WebTrack leads to innovative shifts in the use of tracking data. As WebTrack allows for collecting the content people are exposed to beyond the classical news platforms, it can greatly improve the detection of politics-related information consumption in tracking data through automated content analysis compared to traditional approaches that rely on the source-level analysis.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"1 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0