{"title":"Stavrakakis, Y. and Katsambekis, G. (2024). Research Handbook on Populism. Edward Elgar Hardback ISBN: 9781800379688. ebook ISBN: 9781800379695","authors":"George Newth","doi":"10.12681/grsr.38521","DOIUrl":"https://doi.org/10.12681/grsr.38521","url":null,"abstract":"<jats:p>N/A</jats:p>","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"34 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800618","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}
This paper analyzes both the network of actors and the network of the discourses mobilized in the controversy around Professor Didier Raoult and his Hydroxychloroquine-based therapeutic proposal against COVID-19. To confirm our hypothesis, we implement a sophisticated and innovative research method on a corpus of 1.2 million Tweets, which consists of applying a network analysis combined with a lexicometrics analysis. We show that the reaction peaks on Twitter were linked to important media events. Moreover, many groups clustered around the accounts of political figures and media outlets that received numerous mentions. Trump's and Bolsonaro's supporter groups also connected with the French-speaking pro-Raoult groups. The messages of the pro-Raoult combined anti-science conspiracy theories and a critique of the political economy of liberalism and its impasses
{"title":"A cure worse than the disease? The controversy on Twitter around a fake COVID-19 treatment from France","authors":"Nikos Smyrnaios, Panos Tsimpoukis, Charis Papaevangelou","doi":"10.12681/grsr.38490","DOIUrl":"https://doi.org/10.12681/grsr.38490","url":null,"abstract":"This paper analyzes both the network of actors and the network of the discourses mobilized in the controversy around Professor Didier Raoult and his Hydroxychloroquine-based therapeutic proposal against COVID-19. To confirm our hypothesis, we implement a sophisticated and innovative research method on a corpus of 1.2 million Tweets, which consists of applying a network analysis combined with a lexicometrics analysis. We show that the reaction peaks on Twitter were linked to important media events. Moreover, many groups clustered around the accounts of political figures and media outlets that received numerous mentions. Trump's and Bolsonaro's supporter groups also connected with the French-speaking pro-Raoult groups. The messages of the pro-Raoult combined anti-science conspiracy theories and a critique of the political economy of liberalism and its impasses","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"60 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798802","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}
Valia Kaimaki, Dimitris Ampeliotis, Aggeliki Sgora, Agisilaos Konidaris, S. Polykalas
X, formerly, Twitter is considered a valuable tool for journalists for real-time interaction with their followers. Especially, in the case of political journalists, the degree of their influence and persuasion is of great importance. In this paper, we deal with identifying the journalists’ political charisma. More specifically we propose an algorithm based on the Analytic Hierarchy Process method to measure the political charisma of the journalists. Numerical results in two different use-case scenarios showed that the proposed algorithm could successfully determine charisma in that it tweaks influence towards a more specific political direction.
{"title":"An algorithm measuring the charisma of Greek journalists","authors":"Valia Kaimaki, Dimitris Ampeliotis, Aggeliki Sgora, Agisilaos Konidaris, S. Polykalas","doi":"10.12681/grsr.38504","DOIUrl":"https://doi.org/10.12681/grsr.38504","url":null,"abstract":"X, formerly, Twitter is considered a valuable tool for journalists for real-time interaction with their followers. Especially, in the case of political journalists, the degree of their influence and persuasion is of great importance. In this paper, we deal with identifying the journalists’ political charisma. More specifically we propose an algorithm based on the Analytic Hierarchy Process method to measure the political charisma of the journalists. Numerical results in two different use-case scenarios showed that the proposed algorithm could successfully determine charisma in that it tweaks influence towards a more specific political direction.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"30 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800444","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}
The paper considers the front-end and back-end processes of art production as a methodological format and a metaphor for conducting research in museums and other cultural institutions in the age of computation and rapid technological innovation. Beyond their use in software architecture, those two terms can be ways of embedding research inside an institution. Informed by research projects embedded in museums as well as through my observations from the specific case study of BMW Tate Live: Performance Room the paper explores how cultural agents assimilate the technological present and how cultural value is produced in this context. Examining this experimental project of performance art staged live online on Tate’s YouTube channel and the conceptualisations of the digital audiences that emerged throughout the programme’s development highlighted how the institutional authority upon the production of art knowledge translates into online interfaces. The museum’s ambivalence to extend its art programming in a digital, distributed, ecosystem poses wider questions about the ways that contemporary art institutions can comprehend the technological moment and whether they can be up to speed with a computational present and future.
{"title":"‘‘We don’t really know how it’s going to work’’: The front-end and back-end processes of action-led research at Tate","authors":"Ioanna Zouli","doi":"10.12681/grsr.38515","DOIUrl":"https://doi.org/10.12681/grsr.38515","url":null,"abstract":"The paper considers the front-end and back-end processes of art production as a methodological format and a metaphor for conducting research in museums and other cultural institutions in the age of computation and rapid technological innovation. Beyond their use in software architecture, those two terms can be ways of embedding research inside an institution. Informed by research projects embedded in museums as well as through my observations from the specific case study of BMW Tate Live: Performance Room the paper explores how cultural agents assimilate the technological present and how cultural value is produced in this context. Examining this experimental project of performance art staged live online on Tate’s YouTube channel and the conceptualisations of the digital audiences that emerged throughout the programme’s development highlighted how the institutional authority upon the production of art knowledge translates into online interfaces. The museum’s ambivalence to extend its art programming in a digital, distributed, ecosystem poses wider questions about the ways that contemporary art institutions can comprehend the technological moment and whether they can be up to speed with a computational present and future. \u0000 ","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"29 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800876","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}
Current trends in computational social sciences and data-driven research require access to reliable data sources. Data repositories fulfil this role, providing high-quality data services, since they satisfy certain requirements that can be briefly summarized as complying with the FAIR data principles. In this context, we outline the measures undertaken by SoDaNet to enhance the data repositories within our infrastructure. Through the adoption and implementation of the Dataverse software, along with a series of adaptations and customizations, we have improved the Findability, Accessibility, Interoperability, and Reusability (FAIR) of the data hosted in these repositories. This effort has resulted in data repositories responding effectively to the demands of the research community, improving the user experience both nationally and internationally.
{"title":"Configuring, optimizing and enhancing Dataverse: The case of SoDaNet Repositories","authors":"Apostolos Linardis, Dimitra Kondyli, Konstantinos Alexandris, Konstantinos Papagiannopoulos, Konstantinos – Symeon Nisiotis, Nikolaos Mastoris, Nicolas Klironomos","doi":"10.12681/grsr.38519","DOIUrl":"https://doi.org/10.12681/grsr.38519","url":null,"abstract":"Current trends in computational social sciences and data-driven research require access to reliable data sources. Data repositories fulfil this role, providing high-quality data services, since they satisfy certain requirements that can be briefly summarized as complying with the FAIR data principles. In this context, we outline the measures undertaken by SoDaNet to enhance the data repositories within our infrastructure. Through the adoption and implementation of the Dataverse software, along with a series of adaptations and customizations, we have improved the Findability, Accessibility, Interoperability, and Reusability (FAIR) of the data hosted in these repositories. This effort has resulted in data repositories responding effectively to the demands of the research community, improving the user experience both nationally and internationally.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"34 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800485","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}
The consumption of video game content as a commercial spectacle, namely professional gaming, is a complex cultural, social and economic activity that seems to be growing in popularity. The application of Social Network Analysis (SNA) allowed for a graphical representation of the Greek professional gaming scene, specifying its size and the different actors operating within it, and highlighting the crucial role of the content producers themselves. It also revealed the rapid commercialisation of professional gaming and the fact that it is a highly gendered space, where different gendered identities are excluded or marginalised.
{"title":"Mapping a hybrid phenomenon in the digital world: The Greek professional gaming scene through Social Network Analysis (SNA)","authors":"Stavroula Dargonaki","doi":"10.12681/grsr.38513","DOIUrl":"https://doi.org/10.12681/grsr.38513","url":null,"abstract":"The consumption of video game content as a commercial spectacle, namely professional gaming, is a complex cultural, social and economic activity that seems to be growing in popularity. The application of Social Network Analysis (SNA) allowed for a graphical representation of the Greek professional gaming scene, specifying its size and the different actors operating within it, and highlighting the crucial role of the content producers themselves. It also revealed the rapid commercialisation of professional gaming and the fact that it is a highly gendered space, where different gendered identities are excluded or marginalised.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"25 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800838","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}
Over the past fifteen years, technology has contributed to the emergence of new types of data, particularly big data, influencing the methods of observation, study, and measurement of social phenomena from the perspective of the social sciences. The increasing digitization of social activities generates vast amounts of data that fuel contemplation about the way modern societies function. Additionally, factors such as the recent COVID-19 pandemic with mandatory social distancing have contributed to the creation of a favourable environment for the generation of new types of data, with an emphasis on big data. Within this ongoing transformation of the data landscape, we will attempt to pose questions related to the environment of Data Repositories/Research Infrastructures and the means/methods of addressing and managing these data. It appears that social research is shifting towards a more "data-driven approach", which requires new skills and capabilities at the intersection of the computational and social sciences. One of the major issues that arise is the potential for collaborations between data organizations and researchers/users of data to promote not only a culture of data sharing but also the reuse of such data. This work will be based on primary and secondary sources generated within the framework of research projects in collaboration with CESSDA ERIC (European Social Science Data Archives-European Research Infrastructures), as well as literature on the management of data from various sources, with an emphasis on their legal/ethical and technical aspects.
{"title":"Challenges and opportunities for the re-use of New Data Types (NDTs) in a changing landscape","authors":"Dimitra Kondyli, Nicolas Klironomos","doi":"10.12681/grsr.38517","DOIUrl":"https://doi.org/10.12681/grsr.38517","url":null,"abstract":"Over the past fifteen years, technology has contributed to the emergence of new types of data, particularly big data, influencing the methods of observation, study, and measurement of social phenomena from the perspective of the social sciences. The increasing digitization of social activities generates vast amounts of data that fuel contemplation about the way modern societies function. Additionally, factors such as the recent COVID-19 pandemic with mandatory social distancing have contributed to the creation of a favourable environment for the generation of new types of data, with an emphasis on big data. Within this ongoing transformation of the data landscape, we will attempt to pose questions related to the environment of Data Repositories/Research Infrastructures and the means/methods of addressing and managing these data. It appears that social research is shifting towards a more \"data-driven approach\", which requires new skills and capabilities at the intersection of the computational and social sciences. One of the major issues that arise is the potential for collaborations between data organizations and researchers/users of data to promote not only a culture of data sharing but also the reuse of such data. This work will be based on primary and secondary sources generated within the framework of research projects in collaboration with CESSDA ERIC (European Social Science Data Archives-European Research Infrastructures), as well as literature on the management of data from various sources, with an emphasis on their legal/ethical and technical aspects.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"114 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801941","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}
Within computational political science, a sentiment expressed in social media has been subject to examination about electoral behaviour, more so because of the cases of the successful use of social media by candidates (Obama) or by companies who tried to manipulate public opinion (e.g., the involvement of the Russian Internet Research Agency and Cambridge Analytica in 2016 Presidential Elections in the USA, or of Cambridge Analytica’s to the UK’s Referendum about Brexit). In this paper we examine a refinement of analysis, moving from sentiment (positive-negative) to emotions, combine opinion mining with social network analysis, and apply it to the tweets posted during the critical elections that took place in Greece in 2015 and 2019. We find support for the relation between some emotions and voting behaviour in other countries but also realize that the intensity of expressing such emotions is perhaps a better indicator of the need for change.
{"title":"Emotion during election periods: Deciphering Twitter users’ discourse","authors":"Sophia Messini","doi":"10.12681/grsr.38500","DOIUrl":"https://doi.org/10.12681/grsr.38500","url":null,"abstract":"Within computational political science, a sentiment expressed in social media has been subject to examination about electoral behaviour, more so because of the cases of the successful use of social media by candidates (Obama) or by companies who tried to manipulate public opinion (e.g., the involvement of the Russian Internet Research Agency and Cambridge Analytica in 2016 Presidential Elections in the USA, or of Cambridge Analytica’s to the UK’s Referendum about Brexit). In this paper we examine a refinement of analysis, moving from sentiment (positive-negative) to emotions, combine opinion mining with social network analysis, and apply it to the tweets posted during the critical elections that took place in Greece in 2015 and 2019. We find support for the relation between some emotions and voting behaviour in other countries but also realize that the intensity of expressing such emotions is perhaps a better indicator of the need for change.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"25 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799464","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}
By the end of September 2022, a plebiscite about a new pension law suggested once more that the western Swiss region of the Arc Lémanique (AL) is politically different from the rest of Switzerland. Newspapers argued that this is the result of the proximity to France with the same language as the AL. This paper tries to find out, how far the political opinions of the AL are away from the rest of Switzerland and how close they are to France. For this purpose, the author presents a new methodology from computational social science: virtual encounter simulations, which he successfully applied in an earlier publication to similar problems. It is based on the idea of using survey data for the construction of random-dyads of persons, who can subsequently be compared with regard to their political attitudes. By averaging the inter-individual differences of dyads of persons belonging to the same group and dyads belonging to different groups it is possible to compare ideological inter-group with intra-group conflicts. In order to tackle the initial research question, the author analyses the international survey ISSP-V (2016), focussed on the role of government, also with regard to the mentioned old age pensions. Virtual encounter simulations reveal that the AL is ideologically much closer to German speaking Switzerland than originally expected.
2022 年 9 月底，关于新养老金法的全民公决再次表明，瑞士西部的莱曼大区（AL）在政治上与瑞士其他地区不同。报纸认为，这是因为该地区毗邻法国，语言与法国相同。 本文试图找出阿尔萨斯地区的政治观点与瑞士其他地区的不同之处，以及与法国的接近程度。为此，作者提出了一种来自计算社会科学的新方法：虚拟相遇模拟。该方法的基础是利用调查数据构建随机人群，然后对这些人群的政治态度进行比较。通过对属于同一群体的二人组和属于不同群体的二人组的个体间差异进行平均，可以比较意识形态的群体间冲突和群体内冲突。 为了解决最初的研究问题，作者分析了国际调查 ISSP-V（2016 年），该调查的重点是政府的作用，也涉及所提到的养老金。虚拟相遇模拟显示，瑞士 AL 在意识形态上比原先预期的更接近瑞士德语区。
{"title":"Virtual encounter simulations for comparing public expectations about the role of the welfare state","authors":"Georg P. Mueller","doi":"10.12681/grsr.38509","DOIUrl":"https://doi.org/10.12681/grsr.38509","url":null,"abstract":"By the end of September 2022, a plebiscite about a new pension law suggested once more that the western Swiss region of the Arc Lémanique (AL) is politically different from the rest of Switzerland. Newspapers argued that this is the result of the proximity to France with the same language as the AL. \u0000This paper tries to find out, how far the political opinions of the AL are away from the rest of Switzerland and how close they are to France. For this purpose, the author presents a new methodology from computational social science: virtual encounter simulations, which he successfully applied in an earlier publication to similar problems. It is based on the idea of using survey data for the construction of random-dyads of persons, who can subsequently be compared with regard to their political attitudes. By averaging the inter-individual differences of dyads of persons belonging to the same group and dyads belonging to different groups it is possible to compare ideological inter-group with intra-group conflicts. \u0000In order to tackle the initial research question, the author analyses the international survey ISSP-V (2016), focussed on the role of government, also with regard to the mentioned old age pensions. Virtual encounter simulations reveal that the AL is ideologically much closer to German speaking Switzerland than originally expected.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"45 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800024","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}
Computational approaches have been increasingly used in social sciences in recent years. The present study investigates to what extent a triangulated framework of corpus linguistics and critical discourse analysis can shed light on cutting-edge approaches and offer new insights into social research. Big data sets that may be examined computationally reveal patterns, trends and co-occurrences of elements (Teubert & Krishnamurthy, 2007, p. 6). This research is based on analysing a 720-text corpus of political and scientific discourse (March 2020 - May 2022) of representatives of three main institutions (government, main opposition party, and Greek public health organisation). Mediated political and scientific discourse has been the primary source of information regarding the Covid-19 pandemic crisis. The computational techniques focus on the representation of the pandemic and the relevant collocations and concordances in an attempt to navigate afterwards through qualitative analysis. Findings indicate that the government constructed a ‘‘rescue narrative’’ while the main opposition party advocated working-class priorities. Conceptual metaphors regarding the pandemic were pervasive both in political and scientific discourse. Comparative studies among different countries could be conducted in the future.
{"title":"The Covid-19 pandemic in Greece through the lens of methodological synergy: Combining corpus linguistics and critical discourse analysis approaches","authors":"Dimitris Elafropoulos","doi":"10.12681/grsr.38498","DOIUrl":"https://doi.org/10.12681/grsr.38498","url":null,"abstract":"Computational approaches have been increasingly used in social sciences in recent years. The present study investigates to what extent a triangulated framework of corpus linguistics and critical discourse analysis can shed light on cutting-edge approaches and offer new insights into social research. Big data sets that may be examined computationally reveal patterns, trends and co-occurrences of elements (Teubert & Krishnamurthy, 2007, p. 6). This research is based on analysing a 720-text corpus of political and scientific discourse (March 2020 - May 2022) of representatives of three main institutions (government, main opposition party, and Greek public health organisation). Mediated political and scientific discourse has been the primary source of information regarding the Covid-19 pandemic crisis. The computational techniques focus on the representation of the pandemic and the relevant collocations and concordances in an attempt to navigate afterwards through qualitative analysis. Findings indicate that the government constructed a ‘‘rescue narrative’’ while the main opposition party advocated working-class priorities. Conceptual metaphors regarding the pandemic were pervasive both in political and scientific discourse. Comparative studies among different countries could be conducted in the future.","PeriodicalId":518075,"journal":{"name":"Επιθεώρηση Κοινωνικών Ερευνών","volume":"119 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802028","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}
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