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Journal of Computational Social Science最新文献

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Impact of income inequality on health and education in Africa: the long-run role of public spending with short-run dynamics 收入不平等对非洲卫生和教育的影响：公共支出的长期作用与短期动态变化
IF 3.2
Journal of Computational Social Science Pub Date : 2023-12-16 DOI: 10.1007/s42001-023-00237-4
Tonmoy Chatterjee, Ghirmai Tesfamariam Teame, Sharmi Sen
{"title":"Impact of income inequality on health and education in Africa: the long-run role of public spending with short-run dynamics","authors":"Tonmoy Chatterjee, Ghirmai Tesfamariam Teame, Sharmi Sen","doi":"10.1007/s42001-023-00237-4","DOIUrl":"https://doi.org/10.1007/s42001-023-00237-4","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"55 12","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138967729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms 利用机器学习和深度学习算法进行情感分析的实证研究
IF 3.2
Journal of Computational Social Science Pub Date : 2023-12-09 DOI: 10.1007/s42001-023-00236-5
Betul Erkantarci, Gokhan Bakal
{"title":"An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms","authors":"Betul Erkantarci, Gokhan Bakal","doi":"10.1007/s42001-023-00236-5","DOIUrl":"https://doi.org/10.1007/s42001-023-00236-5","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"9 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The risk co-de model: detecting psychosocial processes of risk perception in natural language through machine learning 风险共感模型：通过机器学习检测自然语言中风险认知的社会心理过程
IF 3.2
Journal of Computational Social Science Pub Date : 2023-11-30 DOI: 10.1007/s42001-023-00235-6
Valentina Rizzoli
{"title":"The risk co-de model: detecting psychosocial processes of risk perception in natural language through machine learning","authors":"Valentina Rizzoli","doi":"10.1007/s42001-023-00235-6","DOIUrl":"https://doi.org/10.1007/s42001-023-00235-6","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"1701 ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139204082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring statistical approaches for predicting student dropout in education: a systematic review and meta-analysis 探索预测学生辍学的统计方法：系统回顾与荟萃分析
IF 3.2
Journal of Computational Social Science Pub Date : 2023-11-29 DOI: 10.1007/s42001-023-00231-w
Raghul Gandhi Venkatesan, Dhivya Karmegam, Bagavandas Mappillairaju
{"title":"Exploring statistical approaches for predicting student dropout in education: a systematic review and meta-analysis","authors":"Raghul Gandhi Venkatesan, Dhivya Karmegam, Bagavandas Mappillairaju","doi":"10.1007/s42001-023-00231-w","DOIUrl":"https://doi.org/10.1007/s42001-023-00231-w","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"5 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139209369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automated measures of sentiment via transformer- and lexicon-based sentiment analysis (TLSA) 通过基于转换器和词典的情感分析（TLSA）自动测量情感
IF 3.2
Journal of Computational Social Science Pub Date : 2023-11-21 DOI: 10.1007/s42001-023-00233-8
Xinyan Zhao, Chau-Wai Wong
{"title":"Automated measures of sentiment via transformer- and lexicon-based sentiment analysis (TLSA)","authors":"Xinyan Zhao, Chau-Wai Wong","doi":"10.1007/s42001-023-00233-8","DOIUrl":"https://doi.org/10.1007/s42001-023-00233-8","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"164 5","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A fuzzy set extension of Schelling’s spatial segregation model 谢林空间隔离模型的模糊集扩展
IF 3.2
Journal of Computational Social Science Pub Date : 2023-11-20 DOI: 10.1007/s42001-023-00234-7
Atsushi Ishida
{"title":"A fuzzy set extension of Schelling’s spatial segregation model","authors":"Atsushi Ishida","doi":"10.1007/s42001-023-00234-7","DOIUrl":"https://doi.org/10.1007/s42001-023-00234-7","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"11 2","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139259627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integrating the gender dimension to disclose the degree of businesses’ articulation of innovation 整合性别维度，披露企业的创新衔接程度
IF 3.2
Journal of Computational Social Science Pub Date : 2023-11-19 DOI: 10.1007/s42001-023-00230-x
Giacomo di Tollo, Joseph Andria, S. Tanev, Sara Ghilardi
{"title":"Integrating the gender dimension to disclose the degree of businesses’ articulation of innovation","authors":"Giacomo di Tollo, Joseph Andria, S. Tanev, Sara Ghilardi","doi":"10.1007/s42001-023-00230-x","DOIUrl":"https://doi.org/10.1007/s42001-023-00230-x","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"3 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139260094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective 有影响力的传播者对印度市场和少数外国市场不同部门的影响研究:复杂网络视角
Journal of Computational Social Science Pub Date : 2023-11-14 DOI: 10.1007/s42001-023-00229-4
Anwesha Sengupta, Shashankaditya Upadhyay, Indranil Mukherjee, Prasanta K. Panigrahi
{"title":"A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective","authors":"Anwesha Sengupta, Shashankaditya Upadhyay, Indranil Mukherjee, Prasanta K. Panigrahi","doi":"10.1007/s42001-023-00229-4","DOIUrl":"https://doi.org/10.1007/s42001-023-00229-4","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"1 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Predictive insights: leveraging Twitter sentiments and machine learning for environmental, social and governance controversy prediction 预测洞察:利用Twitter情绪和机器学习进行环境、社会和治理争议预测
Journal of Computational Social Science Pub Date : 2023-10-28 DOI: 10.1007/s42001-023-00228-5
Yasemin Lheureux
{"title":"Predictive insights: leveraging Twitter sentiments and machine learning for environmental, social and governance controversy prediction","authors":"Yasemin Lheureux","doi":"10.1007/s42001-023-00228-5","DOIUrl":"https://doi.org/10.1007/s42001-023-00228-5","url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136160463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The variant of efforts avoiding strain: successful correction of a scientific discourse related to COVID-19 努力避免紧张的变体:成功纠正与COVID-19相关的科学论述
Journal of Computational Social Science Pub Date : 2023-10-26 DOI: 10.1007/s42001-023-00223-w
Dongwoo Lim, Fujio Toriumi, Mitsuo Yoshida, Mikihito Tanaka, Kunhao Yang
{"title":"The variant of efforts avoiding strain: successful correction of a scientific discourse related to COVID-19","authors":"Dongwoo Lim, Fujio Toriumi, Mitsuo Yoshida, Mikihito Tanaka, Kunhao Yang","doi":"10.1007/s42001-023-00223-w","DOIUrl":"https://doi.org/10.1007/s42001-023-00223-w","url":null,"abstract":"Abstract This study focuses on how scientifically accurate information is disseminated through social media, and how misinformation can be corrected. We have identified examples on Twitter where scientific terms that have been widely misused have been rectified and replaced by scientifically accurate terms through the interaction of users. The results show that the percentage of accurate terms (“variant” or “COVID-19 variant”) being used instead of the inaccurate terms (“strain”) on Twitter has already increased since the end of December 2020. This was about a month before the release of an official statement by the Japanese Association for Infectious Diseases regarding the accurate terminology, and the use of terms on social media was faster than it was in television. Some Twitter users who quickly started using the accurate term were more likely to retweet messages sent by leading influencers on Twitter, rather than messages sent by traditional media or portal sites. However, a few Twitter users continued to use wrong terms even after March 2021, even though the use of the accurate terms was widespread. This study empirically verified that self-correction occurs even on Twitter, and also suggested that influencers with expertise can influence the direction of public opinion on social media.","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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