{"title":"Social Network and Semantic Analysis of Roe v. Wade’s Reversal on Twitter","authors":"Zehui Dai, Cory Higgs","doi":"10.1177/08944393231178602","DOIUrl":"https://doi.org/10.1177/08944393231178602","url":null,"abstract":"On June 24, 2022, the Supreme Court released its decision in Dobbs v. Jackson Women’s Health, which officially repealed Roe v. Wade and its subsequent rulings. Employing social network analysis and semantic analysis methods, the current project reviews the public reaction among Twitter users shared from the May 2 draft leak to the June 24 official repeal, using a series of Twitter hashtags related to Roe v. Wade. The project identified the main influencers within the network, namely, journalist/news organizations, Internet celebrities, activists/activist groups, professional/non-profit organizations, and politicians/political organizations through social network analysis. Through semantic analysis, the authors found prominent themes such as legal concerns, discourse on reproductive rights, distrusting of Supreme Court’s authority, and political nepotism. The results offer policy implications and communication message strategies to healthcare providers and policymakers. The authors believe that the polarizing nature of Roe v. Wade-related issues will be a crucial factor in shaping voters’ decisions during the upcoming 2024 presidential election.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41946609","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}
A. M. Möller, Susan A. M. Vermeer, Susanne E. Baumgartner
{"title":"Cutting Through the Comment Chaos: A Supervised Machine Learning Approach to Identifying Relevant YouTube Comments","authors":"A. M. Möller, Susan A. M. Vermeer, Susanne E. Baumgartner","doi":"10.1177/08944393231173895","DOIUrl":"https://doi.org/10.1177/08944393231173895","url":null,"abstract":"Social scientists often study comments on YouTube to learn about people’s attitudes towards and experiences of online videos. However, not all YouTube comments are relevant in the sense that they reflect individuals’ thoughts about, or experiences of the content of a video or its artist/maker. Therefore, the present paper employs Supervised Machine Learning to automatically assess comments written in response to music videos in terms of their relevance. For those comments that are relevant, we also assess why they are relevant. Our results indicate that most YouTube comments are relevant (approx. 78%). Among those, most are relevant because they include a positive evaluation of the video, describe a viewer’s personal experience related to the video, or express a sense of community among the video viewers. We conclude that Supervised Machine Learning is a suitable method to find those YouTube comments that are relevant to scholars studying viewers’ reactions to online videos, and we present suggestions for scholars wanting to apply the same technique in their own projects.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45253757","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}
Jinzhe Zhao, Zhen Guo, Liying Jiao, M. Yu, Huiyue Shi, Yan Xu
{"title":"Do Shy Individuals Engage in Cyber Aggression? The Multiple Mediation of Passive Use and Relative Deprivation and the Moderation of Moral Sensitivity","authors":"Jinzhe Zhao, Zhen Guo, Liying Jiao, M. Yu, Huiyue Shi, Yan Xu","doi":"10.1177/08944393231176326","DOIUrl":"https://doi.org/10.1177/08944393231176326","url":null,"abstract":"Shyness has been shown to be linked to aggression. However, whether this relationship occurs in cyberspace and the mechanisms that might affect it are largely unexplored. Based on the social fitness model, the current study examined the relationship between shyness and cyber aggression, as well as the mediating roles of passive use and relative deprivation. Moreover, according to the integration of the social information processing model and moral domain theory, moral sensitivity serves as a moderator in the direct and indirect links between shyness and cyber aggression. A total of 700 Chinese college students ( M age = 18.68, 53.57% women) participated in the current study and completed multiple questionnaires, namely, the Shyness Scale, Cyber-Aggression Scale, Passive Use of Social Network Site Scale, Relative Deprivation Scale, and Ethical Sensitivity Scale. The results showed that shyness was positively associated with cyber aggression through the multiple mediating effects of passive use and relative deprivation. Additionally, moderated mediation analysis indicated that moral sensitivity moderated the direct and indirect relationship between shyness and cyber aggression. A high level of moral sensitivity weakened the association of shyness with cyber aggression and the association of relative deprivation with cyber aggression, supporting the moderated mediation model. This study implicates the underlying mechanisms of the relationship between shyness and cyber aggression and preventative interventions to reduce the risk of cyber aggression.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49454667","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}
{"title":"Why Device-Related Digital Inequalities Matter for E-Government Engagement?","authors":"Matías Dodel","doi":"10.1177/08944393231176595","DOIUrl":"https://doi.org/10.1177/08944393231176595","url":null,"abstract":"Mobile devices were key drivers for recent Internet expansion in lower-income countries, democratizing access. Nonetheless, concerns arose regarding their role in the creation of new digital underclass related to the capital-enhancing consequences of Internet use. Among these, e-government engagement allows individuals to reduce the administrative burdens of governmental interactions. Nonetheless, its uptake has been proven to be highly stratified in Latin American countries where most services are not digital-by-default. The article argues that disparities in digital access play a role in this e-government divides. It examines the antecedents and determinants of household computer access and mobile-only Internet use, and e-government engagement in Brazil. Based on “TIC Domicilios 2019” survey, using logistic regressions to predict household access to computers, mobile-only Internet access, and e-government engagement. Mediation analyses of the latter models are conducted, testing the sequential nature of socio-digital inequalities based on the DiSTO framework. Findings show that living in a household with computers reduces the chances of being a mobile-only user and increases the odds of e-government engagement. Mobile-only access reduces e-government engagement. The effects of socioeconomic status and digital inequalities are mediated by household access to computers and mobile-only use. Implications for digital inclusion policies are discussed.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47556669","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}
{"title":"Mind the Like-Minded. The Role of Social Identity in Prosocial Crowdfunding","authors":"Anna Monik, Michał Parzuchowski","doi":"10.1177/08944393231173889","DOIUrl":"https://doi.org/10.1177/08944393231173889","url":null,"abstract":"Current social challenges have increased the interest in globally spread collective actions, especially those taking place in virtual space. Crowdfunding is one form of online activism that has recently gained importance. Although research conducted so far indicates the significance of social motives among participants of crowdfunding campaigns, knowledge about the psychosocial mechanisms involved in its effectiveness is limited. This article attempts to reinforce the position of crowdfunding as one of the forms of collective action and to expand knowledge about possible psychosocial factors that could shape participation in crowdfunding campaigns. In three pre-registered studies ( N = 823), we found that the social identity based on a shared worldview positively correlated with the intention to participate in prosocial crowdfunding. Moreover, the relationship between opinion-based group identity and collective action varied depending on participation type (predicted vs. experienced engagement in a campaign). In other words, when people gather in communities built around shared opinions on a given social issue, they develop a sense of community, which can translate into activities for the benefit of the group such as supporting crowdfunding campaigns. However, in the case of actual behaviour, unlike with the declaration of participation, the strength of the relationship with social identity significantly diminishes. The results are discussed in relation to the theory of collective action.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"1 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41423262","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}
{"title":"From Calculations to Reasoning: History, Trends and the Potential of Computational Ethnography and Computational Social Anthropology","authors":"","doi":"10.1177/08944393231167692","DOIUrl":"https://doi.org/10.1177/08944393231167692","url":null,"abstract":"The domains of computational social anthropology and computational ethnography refer to the computational processing or computational modelling of data for anthropological or ethnographic research. In this context, the article surveys the use of computational methods regarding the production and the representation of knowledge. The ultimate goal of the study is to highlight the significance of modelling ethnographic data and anthropological knowledge by harnessing the potential of the semantic web. The first objective was to review the use of computational methods in anthropological research focusing on the last 25 years, while the second objective was to explore the potential of the semantic web focusing on existing technologies for ontological representation. For these purposes, the study explores the use of computers in anthropology regarding data processing and data modelling for more effective data processing. The survey reveals that there is an ongoing transition from the instrumentalisation of computers as tools for calculations, to the implementation of information science methodologies for analysis, deduction, knowledge representation, and reasoning, as part of the research process in social anthropology. Finally, it is highlighted that the ecosystem of the semantic web does not subserve quantification and metrics but introduces a new conceptualisation for addressing and meeting research questions in anthropology.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42200570","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}
{"title":"Machines As Social Entities (MASE) Scale: Validation of a New Scale Measuring Beliefs in the Sociality of Intelligent Machine Agents","authors":"Joo-Wha Hong","doi":"10.1177/08944393231167211","DOIUrl":"https://doi.org/10.1177/08944393231167211","url":null,"abstract":"Researchers examining the social relationship between humans and machine agents have been faced with a series of obstacles, mainly due to the lack of appropriate study tools. To address this need for measurement toolkits, this article examines the development and validation of the Machines As Social Entities (MASE) scale. MASE was created to measure people’s beliefs in machine agents as social entities. Together, the results from a series of studies, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), demonstrate that the MASE is a reliable and valid measure. Potential uses of the scales are then discussed.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42870086","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}
{"title":"Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel","authors":"Barbara Felderer, J. Kueck, M. Spindler","doi":"10.1177/08944393221095194","DOIUrl":"https://doi.org/10.1177/08944393221095194","url":null,"abstract":"Survey scientists increasingly face the problem of high-dimensionality in their research as digitization makes it much easier to construct high-dimensional (or “big”) data sets through tools such as online surveys and mobile applications. Machine learning methods are able to handle such data, and they have been successfully applied to solve predictive problems. However, in many situations, survey statisticians want to learn about causal relationships to draw conclusions and be able to transfer the findings of one survey to another. Standard machine learning methods provide biased estimates of such relationships. We introduce into survey statistics the double machine learning approach, which gives approximately unbiased estimators of parameters of interest, and show how it can be used to analyze survey nonresponse in a high-dimensional panel setting. The double machine learning approach here assumes unconfoundedness of variables as its identification strategy. In high-dimensional settings, where the number of potential confounders to include in the model is too large, the double machine learning approach secures valid inference by selecting the relevant confounding variables.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"41 1","pages":"461 - 481"},"PeriodicalIF":4.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42658304","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}
M. Burda, Alice Gojová, Barbora Gřundělová, Marek Malina, Zuzana Stanková, M. Štěpnička, M. Vajgl
{"title":"EVKA—Fuzzy Modelling Based System for the Decision-Making Support of Community Workers","authors":"M. Burda, Alice Gojová, Barbora Gřundělová, Marek Malina, Zuzana Stanková, M. Štěpnička, M. Vajgl","doi":"10.1177/08944393221117912","DOIUrl":"https://doi.org/10.1177/08944393221117912","url":null,"abstract":"This article describes a unique software system for the intelligent decision-support of community workers called EVKA. Community work has been proved to be a key tool in tacking dealing social exclusion. So far, distinct approaches and expert methodologies have been developed to help community workers, especially the organization and mobilization of the community and its members through the so-called mobilization cycles. However, to the best of our knowledge, these methodologies and principles have never been implemented in an advanced software tool, and therefore their implementation has always been a matter of personal experience for each community worker. EVKA contains recent computational intelligence techniques, especially in the field of fuzzy modeling, which allow the use of expert knowledge and to use it for decision-making support purposes. This article provides readers with a detailed description of the techniques as well as their implementation.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"41 1","pages":"648 - 673"},"PeriodicalIF":4.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42637418","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}