Pub Date : 2023-05-03DOI: 10.1177/08944393231173889
Anna Monik, Michał Parzuchowski
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.
{"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}
Pub Date : 2023-04-12DOI: 10.1177/08944393231167692
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.
{"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}
Pub Date : 2023-04-06DOI: 10.1177/08944393231167211
Joo-Wha Hong
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.
{"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}
Pub Date : 2023-04-01DOI: 10.1177/08944393221095194
Barbara Felderer, J. Kueck, M. Spindler
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.
{"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}
Pub Date : 2023-04-01DOI: 10.1177/08944393221117912
M. Burda, Alice Gojová, Barbora Gřundělová, Marek Malina, Zuzana Stanková, M. Štěpnička, M. Vajgl
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.
{"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}
Pub Date : 2023-04-01DOI: 10.1177/08944393221103498
Lianshan Zhang, Xiaodong Yang, E. Jung
Moving beyond examining overall social networking site (SNS) use, this study examined the influence of three types of WeChat activities on loneliness, considering the moderating roles of age and perceived network supportiveness on WeChat. Results of a two-wave panel survey with Chinese WeChat users (N = 1202 at Time 1, N = 740 at Time 2) revealed that frequent directed communication, content consumption, and broadcasting on WeChat did not directly influence participants’ loneliness across age cohorts over time. However, the effects of WeChat activities on loneliness were contingent upon a user’s age. Moreover, the positive role of WeChat activities in alleviating loneliness was significant only for users who perceived higher levels of network supportiveness on WeChat. For users who perceived lower levels of network supportiveness, frequent WeChat activities led to increased loneliness over time. These findings contribute to a more nuanced understanding of the implications of mobile SNS use on well-being across generations in the longitudinal context.
{"title":"When Does WeChat Usage Decrease Loneliness? A Panel Study Examining the Moderating Roles of Age and Perceived Network Supportiveness","authors":"Lianshan Zhang, Xiaodong Yang, E. Jung","doi":"10.1177/08944393221103498","DOIUrl":"https://doi.org/10.1177/08944393221103498","url":null,"abstract":"Moving beyond examining overall social networking site (SNS) use, this study examined the influence of three types of WeChat activities on loneliness, considering the moderating roles of age and perceived network supportiveness on WeChat. Results of a two-wave panel survey with Chinese WeChat users (N = 1202 at Time 1, N = 740 at Time 2) revealed that frequent directed communication, content consumption, and broadcasting on WeChat did not directly influence participants’ loneliness across age cohorts over time. However, the effects of WeChat activities on loneliness were contingent upon a user’s age. Moreover, the positive role of WeChat activities in alleviating loneliness was significant only for users who perceived higher levels of network supportiveness on WeChat. For users who perceived lower levels of network supportiveness, frequent WeChat activities led to increased loneliness over time. These findings contribute to a more nuanced understanding of the implications of mobile SNS use on well-being across generations in the longitudinal context.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"41 1","pages":"438 - 460"},"PeriodicalIF":4.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48474756","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 : 2023-03-20DOI: 10.1177/08944393231164329
H. Etienne, Florian Cova
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.
近年来，研究人员强调了常识性道德判断数据与伦理决策的相关性，特别是在关于自动驾驶汽车(AVs)的辩论中。因此，机器道德实验(Machine Moral Experiment)等实证研究的结果在关于自动驾驶汽车伦理的争论中产生了影响，一些研究人员甚至提出了基于这些数据的自动化伦理决策的方法。在本文中，我们认为数据收集不是一个中立的过程，研究设计的差异可以改变参与者的答案和从中得出的伦理结论。在证明了参与者的个人答案是稳定的，即给他们第二次机会反思他们的答案并不会改变他们(研究1)之后，我们表明，当参与者被给予第三种选择允许av随机行为时，可以得出关于参与者道德偏好的不同结论(研究2)。在集体讨论的背景下，可以增加对第三种选择的偏好(研究3)。我们的结论是，设计选择将影响可以从参与者对自动驾驶汽车的道德判断的调查中得出的教训，这些选择不是道德中立的。
{"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}
Pub Date : 2023-03-06DOI: 10.1177/08944393231161124
Francesca Ieracitano, Caterina Balenzano, S. Girardi, Cataldo Giuliano Gemmano, F. Comunello
Taking a neo-Kohlbergian approach, we explore the moral reasoning of 486 young Italian users of social network sites exposed to moral dilemmas concerning online hate speech. The aims are to understand what moral reasoning schemas they use as they face homophobic, racist, or sexist online hate speech, and what influence personal values and moral disengagement might have on their moral reasoning process. The results reveal the prevalence of Maintaining Norms reasoning (conformity to rules and authority) in making moral decisions concerning online hate speech and confirms the mediating role of Hate Speech Moral Disengagement in the relationship between personal values and the moral reasoning process.
{"title":"Online Hate Speech as a Moral Issue: Exploring Moral Reasoning of Young Italian Users on Social Network Sites","authors":"Francesca Ieracitano, Caterina Balenzano, S. Girardi, Cataldo Giuliano Gemmano, F. Comunello","doi":"10.1177/08944393231161124","DOIUrl":"https://doi.org/10.1177/08944393231161124","url":null,"abstract":"Taking a neo-Kohlbergian approach, we explore the moral reasoning of 486 young Italian users of social network sites exposed to moral dilemmas concerning online hate speech. The aims are to understand what moral reasoning schemas they use as they face homophobic, racist, or sexist online hate speech, and what influence personal values and moral disengagement might have on their moral reasoning process. The results reveal the prevalence of Maintaining Norms reasoning (conformity to rules and authority) in making moral decisions concerning online hate speech and confirms the mediating role of Hate Speech Moral Disengagement in the relationship between personal values and the moral reasoning process.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44937715","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 : 2023-03-03DOI: 10.1177/08944393231160963
Yifei Wang, Kokil Jaidka
In an increasingly digitized world, online information-seeking (OIS) behaviors have reflected people’s intentions and constituted a critical component in synthesizing public opinion. Climate change is among the gravest threats facing the world today, and previous studies have adopted OIS data to gauge public interest in climate change. However, such studies have ignored the psychological attributes of search keywords and the role of social identities in influencing OIS. This study explores whether search strategies align with the expected confirmation biases of regions with different partisan beliefs. We use spatial web search trends to show the significant differences in the search keywords adopted by the Democrat-majority (“climate change”) versus the Republican-majority (“global warming”) regions of the United States. Furthermore, using the region-level search and survey data (2008–2018), we demonstrate that the preferential use of search keywords can predict climate opinions. This study concludes by discussing the significant findings and the open questions for future work.
{"title":"Confirmation Bias in Seeking Climate Information: Employing Relative Search Volume to Predict Partisan Climate Opinions","authors":"Yifei Wang, Kokil Jaidka","doi":"10.1177/08944393231160963","DOIUrl":"https://doi.org/10.1177/08944393231160963","url":null,"abstract":"In an increasingly digitized world, online information-seeking (OIS) behaviors have reflected people’s intentions and constituted a critical component in synthesizing public opinion. Climate change is among the gravest threats facing the world today, and previous studies have adopted OIS data to gauge public interest in climate change. However, such studies have ignored the psychological attributes of search keywords and the role of social identities in influencing OIS. This study explores whether search strategies align with the expected confirmation biases of regions with different partisan beliefs. We use spatial web search trends to show the significant differences in the search keywords adopted by the Democrat-majority (“climate change”) versus the Republican-majority (“global warming”) regions of the United States. Furthermore, using the region-level search and survey data (2008–2018), we demonstrate that the preferential use of search keywords can predict climate opinions. This study concludes by discussing the significant findings and the open questions for future work.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41445235","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}
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