Pub Date : 2025-01-30DOI: 10.1177/08944393251315915
Maya Kagan, Uzi Ben-Shalom, Michal Mahat-Shamir
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.
社交媒体已经成为日常生活中不可或缺的一部分，塑造了人们的行为、自我认知和情感健康。然而，它的成瘾性使用引起了人们对它可能加剧心理挑战的担忧，特别是在社会对男子气概的期望的背景下。目前的报告提出了一项研究，探索社交媒体成瘾导致男性抑郁的途径，特别是研究了男性的外表比较，自尊和情绪控制的作用。通过调查这些关系，该研究旨在深入了解社交媒体成瘾对男性的心理影响。对849名18岁及以上的以色列男性进行了结构化问卷调查。采用以社交媒体成瘾为自变量，外表比较和自尊为中介变量，男性抑郁为因变量的有调节序列中介模型，探讨情绪控制在社交媒体成瘾、外表比较、自尊和男性抑郁之间的调节作用。使用89 PROCESS v4.2模型进行的分析显示，符合男性的情绪控制规范会加剧男性对社交媒体成瘾等适应不良行为导致的痛苦的脆弱性，从而导致男性抑郁症。此外，社交媒体成瘾可以通过外表比较和自卑等心理社会因素引发男性抑郁症，这些因素尚未在男性抑郁症的背景下进行探讨。这些发现强调了有针对性的干预措施的重要性，以解决男性气概的社会压力和男性过度使用社交媒体的心理影响。他们还强调了提高公众和治疗师对这些问题的认识的必要性。
{"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}
Pub Date : 2025-01-20DOI: 10.1177/08944393251315917
Bastián González-Bustamante
This paper describes the creation of a novel dataset on ministerial turnover and resignation calls in 12 presidential cabinets in Latin America from the mid-1970s to the early 2020s. The indicators on resignation calls and reallocations of cabinet members are entirely novel. Both constitute a relevant empirical contribution not only to the study of political dynamics in presidential systems and cabinet politics but also to public opinion and public policy topics. We focus on the creation of the dataset using optical recognition algorithms on press report archives together with machine learning models. The models permitted the training of ensemble semi-supervised classifiers over a period of almost 50 years. Subsequently, we provide a number of measurement validity checks to cross-validate the dataset by comparing it with similar existing data and an exploratory analysis.
{"title":"Machine Learning and Political Events: Application of a Semi-supervised Approach to Produce a Dataset on Presidential Cabinets","authors":"Bastián González-Bustamante","doi":"10.1177/08944393251315917","DOIUrl":"https://doi.org/10.1177/08944393251315917","url":null,"abstract":"This paper describes the creation of a novel dataset on ministerial turnover and resignation calls in 12 presidential cabinets in Latin America from the mid-1970s to the early 2020s. The indicators on resignation calls and reallocations of cabinet members are entirely novel. Both constitute a relevant empirical contribution not only to the study of political dynamics in presidential systems and cabinet politics but also to public opinion and public policy topics. We focus on the creation of the dataset using optical recognition algorithms on press report archives together with machine learning models. The models permitted the training of ensemble semi-supervised classifiers over a period of almost 50 years. Subsequently, we provide a number of measurement validity checks to cross-validate the dataset by comparing it with similar existing data and an exploratory analysis.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"20 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991146","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}
Pub Date : 2024-12-24DOI: 10.1177/08944393241311586
Shang Chen, Xuefei Xu, Qingfei Min, Lin Liu
As companies come to appreciate social media’s economic advantages, it has transformed into a dichotomous social-commercial landscape. In this specific situation, followers evaluate social media influencers that play both the friend and marketer roles in the decision-making process. This study creates a dual-role trust model based on the role theory to investigate trust processes across different roles. More importantly, this study goes deeper into examining the potential paradoxical positive and negative moderating roles of perceived friendship in the dual-role trust mechanism. The structural equation model approach is first conducted to test our hypotheses using a survey of 465 TikTok respondents. Next, the study model’s hypotheses are further tested using a post hoc analysis to see if they change based on followers’ regulatory focus. The findings support perceived friendship’s complementary and replacement functions in a dual role-based trust mechanism, as well as the transfer of trust between dual roles. There is a discussion of the implications for theory and practice.
{"title":"A Dual-Role Trust Model for Social Media Influencers: The Paradox of Perceived Friendship","authors":"Shang Chen, Xuefei Xu, Qingfei Min, Lin Liu","doi":"10.1177/08944393241311586","DOIUrl":"https://doi.org/10.1177/08944393241311586","url":null,"abstract":"As companies come to appreciate social media’s economic advantages, it has transformed into a dichotomous social-commercial landscape. In this specific situation, followers evaluate social media influencers that play both the friend and marketer roles in the decision-making process. This study creates a dual-role trust model based on the role theory to investigate trust processes across different roles. More importantly, this study goes deeper into examining the potential paradoxical positive and negative moderating roles of perceived friendship in the dual-role trust mechanism. The structural equation model approach is first conducted to test our hypotheses using a survey of 465 TikTok respondents. Next, the study model’s hypotheses are further tested using a post hoc analysis to see if they change based on followers’ regulatory focus. The findings support perceived friendship’s complementary and replacement functions in a dual role-based trust mechanism, as well as the transfer of trust between dual roles. There is a discussion of the implications for theory and practice.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"31 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142879968","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}
Pub Date : 2024-12-18DOI: 10.1177/08944393241308509
Jason Kosakow, Pierce Greenberg
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.
{"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}
Pub Date : 2024-12-09DOI: 10.1177/08944393241305776
Henning Silber, Johannes Breuer, Barbara Felderer, Frederic Gerdon, Patrick Stammann, Jessica Daikeler, Florian Keusch, Bernd Weiß
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.
{"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}
Pub Date : 2024-12-02DOI: 10.1177/08944393241305780
Zhang Hao Goh, Minzheng Hou, Edson C. Tandoc
Reducing the social distance between livestreamers and viewers is known to enhance viewership as well as generate desirable psychosocial and economic outcomes. However, apart from the social dimension, scholars have not explored other distance dimensions that may induce the same benefits. Leveraging the construal level theory, the current study explicates the concept of distance in the form of three different perceived psychological distance dimensions (i.e., perceived response latency, heterophily, and spatialization) to examine how it can induce viewership in the context of livestreaming. A survey conducted in Singapore ( n = 401) found that the effect of perceived heterophily affecting viewership in livestream was moderated by viewers’ chronic construal tendencies, demonstrating a construal fit. The current study provides insights into how chronic differences in viewers’ construal can influence viewership.
{"title":"People, Platforms, and Places: The Conditional Effects of Psychological Distances on Livestream Viewership","authors":"Zhang Hao Goh, Minzheng Hou, Edson C. Tandoc","doi":"10.1177/08944393241305780","DOIUrl":"https://doi.org/10.1177/08944393241305780","url":null,"abstract":"Reducing the social distance between livestreamers and viewers is known to enhance viewership as well as generate desirable psychosocial and economic outcomes. However, apart from the social dimension, scholars have not explored other distance dimensions that may induce the same benefits. Leveraging the construal level theory, the current study explicates the concept of distance in the form of three different perceived psychological distance dimensions (i.e., perceived response latency, heterophily, and spatialization) to examine how it can induce viewership in the context of livestreaming. A survey conducted in Singapore ( n = 401) found that the effect of perceived heterophily affecting viewership in livestream was moderated by viewers’ chronic construal tendencies, demonstrating a construal fit. The current study provides insights into how chronic differences in viewers’ construal can influence viewership.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"298 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758200","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}
Pub Date : 2024-11-22DOI: 10.1177/08944393241301330
Erik Haugom, Štefan Lyócsa, Martina Halousková
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.
{"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}
Pub Date : 2024-11-15DOI: 10.1177/08944393241301045
Yesolran Kim
This study examines the relationship between social media use and life satisfaction among older adults, with a focus on the moderating role of self-esteem. Cross-sectional data from the 2021 Korea Media Panel Survey were analyzed, focusing on responses from 192 older adults aged 65 and older who had experience using social media platforms. The findings reveal that among older adults with low self-esteem, social media use is negatively associated with life satisfaction, whereas for those with high self-esteem, this association reverses and becomes positive. However, for older adults with medium self-esteem, the relationship between social media use and life satisfaction is not significant. This study contributes to the scholarly understanding of the structural relationship between social media use, self-esteem, and life satisfaction among older adults and offers insights for tailored interventions aimed at enhancing well-being in this demographic.
{"title":"The Moderating Role of Self-Esteem in the Relationship Between Social Media Use and Life Satisfaction Among Older Adults","authors":"Yesolran Kim","doi":"10.1177/08944393241301045","DOIUrl":"https://doi.org/10.1177/08944393241301045","url":null,"abstract":"This study examines the relationship between social media use and life satisfaction among older adults, with a focus on the moderating role of self-esteem. Cross-sectional data from the 2021 Korea Media Panel Survey were analyzed, focusing on responses from 192 older adults aged 65 and older who had experience using social media platforms. The findings reveal that among older adults with low self-esteem, social media use is negatively associated with life satisfaction, whereas for those with high self-esteem, this association reverses and becomes positive. However, for older adults with medium self-esteem, the relationship between social media use and life satisfaction is not significant. This study contributes to the scholarly understanding of the structural relationship between social media use, self-esteem, and life satisfaction among older adults and offers insights for tailored interventions aimed at enhancing well-being in this demographic.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"9 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642985","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}
Pub Date : 2024-11-15DOI: 10.1177/08944393241301050
Shelley Boulianne, Katharina Heger, Nicole Houle, Delphine Brown
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.
{"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}
Pub Date : 2024-10-16DOI: 10.1177/08944393241287793
Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de León, Roberto Ulloa
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.
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