Social Science Computer Review最新文献_第10页

Mind the Like-Minded. The Role of Social Identity in Prosocial Crowdfunding 注意志同道合的人。社会认同在亲社会众筹中的作用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-05-03 DOI: 10.1177/08944393231173889

Anna Monik, Michał Parzuchowski

{"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}

引用次数: 0

Retraction Notice: “Taxation Issues for Digital Financial Assets” 撤销通知：“数字金融资产税收问题”

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-04-26 DOI: 10.1177/08944393231171468

引用次数: 0

From Calculations to Reasoning: History, Trends and the Potential of Computational Ethnography and Computational Social Anthropology 从计算到推理:计算人种学和计算社会人类学的历史、趋势和潜力

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-04-12 DOI: 10.1177/08944393231167692

{"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}

引用次数: 1

Machines As Social Entities (MASE) Scale: Validation of a New Scale Measuring Beliefs in the Sociality of Intelligent Machine Agents 机器作为社会实体(MASE)量表:一个衡量智能机器代理社会性信念的新量表的验证

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-04-06 DOI: 10.1177/08944393231167211

Joo-Wha Hong

引用次数: 0

Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel 利用双机器学习理解混合模式在线招聘中的无响应

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-04-01 DOI: 10.1177/08944393221095194

Barbara Felderer, J. Kueck, M. Spindler

{"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}

引用次数: 0

EVKA—Fuzzy Modelling Based System for the Decision-Making Support of Community Workers 基于evka -模糊模型的社区工作者决策支持系统

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-04-01 DOI: 10.1177/08944393221117912

M. Burda, Alice Gojová, Barbora Gřundělová, Marek Malina, Zuzana Stanková, M. Štěpnička, M. Vajgl

引用次数: 0

When Does WeChat Usage Decrease Loneliness? A Panel Study Examining the Moderating Roles of Age and Perceived Network Supportiveness 微信使用何时能减少孤独感？年龄和感知网络支持度调节作用的小组研究

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-04-01 DOI: 10.1177/08944393221103498

Lianshan Zhang, Xiaodong Yang, E. Jung

引用次数: 3

Performative Quantification: Design Choices Impact the Lessons of Empirical Surveys About the Ethics of Autonomous Vehicles 行为量化:设计选择对自动驾驶汽车伦理经验调查的影响

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-03-20 DOI: 10.1177/08944393231164329

H. Etienne, Florian Cova

{"title":"Performative Quantification: Design Choices Impact the Lessons of Empirical Surveys About the Ethics of Autonomous Vehicles","authors":"H. Etienne, Florian Cova","doi":"10.1177/08944393231164329","DOIUrl":"https://doi.org/10.1177/08944393231164329","url":null,"abstract":"In recent years, researchers have emphasized the relevance of data about commonsense moral judgments for ethical decision-making, notably in the context of debates about autonomous vehicles (AVs). As such, the results of empirical studies such as the Machine Moral Experiment have been influential in debates about the ethics of AVs and some researchers have even put forward methods to automatize ethical decision-making on the basis of such data. In this paper, we argue that data collection is not a neutral process, and the difference in study design can change participants’ answers and the ethical conclusions that can be drawn from them. After showing that participants’ individual answers are stable in the sense that providing them with a second occasion to reflect on their answers does not change them (Study 1), we show that different conclusions regarding participants’ moral preferences can be reached when participants are given a third option allowing AVs to behave randomly (Study 2), and that preference for this third option can be increased in the context of a collective discussion (Study 3). We conclude that design choices will influence the lessons that can be drawn from surveys about participants’ moral judgments about AVs and that these choices are not morally neutral.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43456009","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: 2

Online Hate Speech as a Moral Issue: Exploring Moral Reasoning of Young Italian Users on Social Network Sites 网络仇恨言论作为一个道德问题——意大利社交网站年轻用户的道德推理探索

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-03-06 DOI: 10.1177/08944393231161124

Francesca Ieracitano, Caterina Balenzano, S. Girardi, Cataldo Giuliano Gemmano, F. Comunello

引用次数: 0

Confirmation Bias in Seeking Climate Information: Employing Relative Search Volume to Predict Partisan Climate Opinions 寻求气候信息的确认偏差:利用相对搜索量来预测党派气候意见

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-03-03 DOI: 10.1177/08944393231160963

Yifei Wang, Kokil Jaidka

引用次数: 0