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David Chavalarias - One of the best experts on this subject based on the ideXlab platform.
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Methods for the reconstruction of the socio-semantic dynamics of Political Activist Twitter networks
PLoS ONE, 2018Co-Authors: Noe Gaumont, Maziyar Panahi, David ChavalariasAbstract:Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In this paper, we propose an integrated methodology for the data collection, the reconstruction, the analysis and the visualization of the development of a country’s Political landscape from Twitter data. Method The proposed method relies solely on the interactions between Twitter accounts and is independent of the characteristics of the shared contents such as the language of the tweets. We validate our methodology on a case study on the 2017 French presidential election (60 million Twitter exchanges between more than 2.4 million users) via two independent methods: the comparison between our automated Political categorization and a human categorization based on the evaluation of a sample of 5000 profiles descriptions ; the correspondence between the reconfigurations detected in the reconstructed Political landscape and key Political events reported in the media. This latter validation demonstrated the ability of our approach to accurately reflect the reconfigurations at play in the off-line Political scene. Results We built on this reconstruction to give insights into the opinion dynamics and the reconfigurations of Political communities at play during a presidential election. First, we propose a quantitative description and analysis of the Political engagement of members of Political communities. Second, we analyze the impact of Political communities on information diffusion and in particular on their role in the fake news phenomena. We measure a differential \textit{echo chamber} effect on the different types of Political news (fake news, debunks, standard news) caused by the community structure and emphasize the importance of addressing the meso-structures of Political networks in understanding the fake news phenomena. Conclusions Giving access to an intermediate level, between sociological surveys in the field and large statistical studies (such as those conducted by national or international organizations) we demonstrate that social networks data make it possible to qualify and quantify the activity of Political communities in a multi-polar Political environment ; as well as their temporal evolution and reconfiguration, their structure, their alliance strategies and their semantic particularities during a presidential campaign through the analysis of their digital traces. We conclude this paper with a comment on the Political and ethical implications of the use of social networks data in politics. We stress the importance of developing social macroscopes that will enable citizens to better understand how they collectively make society and propose as example the Politoscope, a macroscope that delivers some of our results in an interactive way.
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reconstruction of the socio semantic dynamics of Political Activist twitter networks method and application to the 2017 french presidential election
PLOS ONE, 2018Co-Authors: Noe Gaumont, Maziyar Panahi, David ChavalariasAbstract:Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In this paper, we propose an integrated methodology for the data collection, the reconstruction, the analysis and the visualization of the development of a country’s Political landscape from Twitter data. Method The proposed method relies solely on the interactions between Twitter accounts and is independent of the characteristics of the shared contents such as the language of the tweets. We validate our methodology on a case study on the 2017 French presidential election (60 million Twitter exchanges between more than 2.4 million users) via two independent methods: the comparison between our automated Political categorization and a human categorization based on the evaluation of a sample of 5000 profiles descriptions ; the correspondence between the reconfigurations detected in the reconstructed Political landscape and key Political events reported in the media. This latter validation demonstrated the ability of our approach to accurately reflect the reconfigurations at play in the off-line Political scene. Results We built on this reconstruction to give insights into the opinion dynamics and the reconfigurations of Political communities at play during a presidential election. First, we propose a quantitative description and analysis of the Political engagement of members of Political communities. Second, we analyze the impact of Political communities on information diffusion and in particular on their role in the fake news phenomena. We measure a differential \textit{echo chamber} effect on the different types of Political news (fake news, debunks, standard news) caused by the community structure and emphasize the importance of addressing the meso-structures of Political networks in understanding the fake news phenomena. Conclusions Giving access to an intermediate level, between sociological surveys in the field and large statistical studies (such as those conducted by national or international organizations) we demonstrate that social networks data make it possible to qualify and quantify the activity of Political communities in a multi-polar Political environment ; as well as their temporal evolution and reconfiguration, their structure, their alliance strategies and their semantic particularities during a presidential campaign through the analysis of their digital traces. We conclude this paper with a comment on the Political and ethical implications of the use of social networks data in politics. We stress the importance of developing social macroscopes that will enable citizens to better understand how they collectively make society and propose as example the Politoscope, a macroscope that delivers some of our results in an interactive way.
Noe Gaumont - One of the best experts on this subject based on the ideXlab platform.
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Methods for the reconstruction of the socio-semantic dynamics of Political Activist Twitter networks
PLoS ONE, 2018Co-Authors: Noe Gaumont, Maziyar Panahi, David ChavalariasAbstract:Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In this paper, we propose an integrated methodology for the data collection, the reconstruction, the analysis and the visualization of the development of a country’s Political landscape from Twitter data. Method The proposed method relies solely on the interactions between Twitter accounts and is independent of the characteristics of the shared contents such as the language of the tweets. We validate our methodology on a case study on the 2017 French presidential election (60 million Twitter exchanges between more than 2.4 million users) via two independent methods: the comparison between our automated Political categorization and a human categorization based on the evaluation of a sample of 5000 profiles descriptions ; the correspondence between the reconfigurations detected in the reconstructed Political landscape and key Political events reported in the media. This latter validation demonstrated the ability of our approach to accurately reflect the reconfigurations at play in the off-line Political scene. Results We built on this reconstruction to give insights into the opinion dynamics and the reconfigurations of Political communities at play during a presidential election. First, we propose a quantitative description and analysis of the Political engagement of members of Political communities. Second, we analyze the impact of Political communities on information diffusion and in particular on their role in the fake news phenomena. We measure a differential \textit{echo chamber} effect on the different types of Political news (fake news, debunks, standard news) caused by the community structure and emphasize the importance of addressing the meso-structures of Political networks in understanding the fake news phenomena. Conclusions Giving access to an intermediate level, between sociological surveys in the field and large statistical studies (such as those conducted by national or international organizations) we demonstrate that social networks data make it possible to qualify and quantify the activity of Political communities in a multi-polar Political environment ; as well as their temporal evolution and reconfiguration, their structure, their alliance strategies and their semantic particularities during a presidential campaign through the analysis of their digital traces. We conclude this paper with a comment on the Political and ethical implications of the use of social networks data in politics. We stress the importance of developing social macroscopes that will enable citizens to better understand how they collectively make society and propose as example the Politoscope, a macroscope that delivers some of our results in an interactive way.
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reconstruction of the socio semantic dynamics of Political Activist twitter networks method and application to the 2017 french presidential election
PLOS ONE, 2018Co-Authors: Noe Gaumont, Maziyar Panahi, David ChavalariasAbstract:Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In this paper, we propose an integrated methodology for the data collection, the reconstruction, the analysis and the visualization of the development of a country’s Political landscape from Twitter data. Method The proposed method relies solely on the interactions between Twitter accounts and is independent of the characteristics of the shared contents such as the language of the tweets. We validate our methodology on a case study on the 2017 French presidential election (60 million Twitter exchanges between more than 2.4 million users) via two independent methods: the comparison between our automated Political categorization and a human categorization based on the evaluation of a sample of 5000 profiles descriptions ; the correspondence between the reconfigurations detected in the reconstructed Political landscape and key Political events reported in the media. This latter validation demonstrated the ability of our approach to accurately reflect the reconfigurations at play in the off-line Political scene. Results We built on this reconstruction to give insights into the opinion dynamics and the reconfigurations of Political communities at play during a presidential election. First, we propose a quantitative description and analysis of the Political engagement of members of Political communities. Second, we analyze the impact of Political communities on information diffusion and in particular on their role in the fake news phenomena. We measure a differential \textit{echo chamber} effect on the different types of Political news (fake news, debunks, standard news) caused by the community structure and emphasize the importance of addressing the meso-structures of Political networks in understanding the fake news phenomena. Conclusions Giving access to an intermediate level, between sociological surveys in the field and large statistical studies (such as those conducted by national or international organizations) we demonstrate that social networks data make it possible to qualify and quantify the activity of Political communities in a multi-polar Political environment ; as well as their temporal evolution and reconfiguration, their structure, their alliance strategies and their semantic particularities during a presidential campaign through the analysis of their digital traces. We conclude this paper with a comment on the Political and ethical implications of the use of social networks data in politics. We stress the importance of developing social macroscopes that will enable citizens to better understand how they collectively make society and propose as example the Politoscope, a macroscope that delivers some of our results in an interactive way.
Maziyar Panahi - One of the best experts on this subject based on the ideXlab platform.
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Methods for the reconstruction of the socio-semantic dynamics of Political Activist Twitter networks
PLoS ONE, 2018Co-Authors: Noe Gaumont, Maziyar Panahi, David ChavalariasAbstract:Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In this paper, we propose an integrated methodology for the data collection, the reconstruction, the analysis and the visualization of the development of a country’s Political landscape from Twitter data. Method The proposed method relies solely on the interactions between Twitter accounts and is independent of the characteristics of the shared contents such as the language of the tweets. We validate our methodology on a case study on the 2017 French presidential election (60 million Twitter exchanges between more than 2.4 million users) via two independent methods: the comparison between our automated Political categorization and a human categorization based on the evaluation of a sample of 5000 profiles descriptions ; the correspondence between the reconfigurations detected in the reconstructed Political landscape and key Political events reported in the media. This latter validation demonstrated the ability of our approach to accurately reflect the reconfigurations at play in the off-line Political scene. Results We built on this reconstruction to give insights into the opinion dynamics and the reconfigurations of Political communities at play during a presidential election. First, we propose a quantitative description and analysis of the Political engagement of members of Political communities. Second, we analyze the impact of Political communities on information diffusion and in particular on their role in the fake news phenomena. We measure a differential \textit{echo chamber} effect on the different types of Political news (fake news, debunks, standard news) caused by the community structure and emphasize the importance of addressing the meso-structures of Political networks in understanding the fake news phenomena. Conclusions Giving access to an intermediate level, between sociological surveys in the field and large statistical studies (such as those conducted by national or international organizations) we demonstrate that social networks data make it possible to qualify and quantify the activity of Political communities in a multi-polar Political environment ; as well as their temporal evolution and reconfiguration, their structure, their alliance strategies and their semantic particularities during a presidential campaign through the analysis of their digital traces. We conclude this paper with a comment on the Political and ethical implications of the use of social networks data in politics. We stress the importance of developing social macroscopes that will enable citizens to better understand how they collectively make society and propose as example the Politoscope, a macroscope that delivers some of our results in an interactive way.
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reconstruction of the socio semantic dynamics of Political Activist twitter networks method and application to the 2017 french presidential election
PLOS ONE, 2018Co-Authors: Noe Gaumont, Maziyar Panahi, David ChavalariasAbstract:Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In this paper, we propose an integrated methodology for the data collection, the reconstruction, the analysis and the visualization of the development of a country’s Political landscape from Twitter data. Method The proposed method relies solely on the interactions between Twitter accounts and is independent of the characteristics of the shared contents such as the language of the tweets. We validate our methodology on a case study on the 2017 French presidential election (60 million Twitter exchanges between more than 2.4 million users) via two independent methods: the comparison between our automated Political categorization and a human categorization based on the evaluation of a sample of 5000 profiles descriptions ; the correspondence between the reconfigurations detected in the reconstructed Political landscape and key Political events reported in the media. This latter validation demonstrated the ability of our approach to accurately reflect the reconfigurations at play in the off-line Political scene. Results We built on this reconstruction to give insights into the opinion dynamics and the reconfigurations of Political communities at play during a presidential election. First, we propose a quantitative description and analysis of the Political engagement of members of Political communities. Second, we analyze the impact of Political communities on information diffusion and in particular on their role in the fake news phenomena. We measure a differential \textit{echo chamber} effect on the different types of Political news (fake news, debunks, standard news) caused by the community structure and emphasize the importance of addressing the meso-structures of Political networks in understanding the fake news phenomena. Conclusions Giving access to an intermediate level, between sociological surveys in the field and large statistical studies (such as those conducted by national or international organizations) we demonstrate that social networks data make it possible to qualify and quantify the activity of Political communities in a multi-polar Political environment ; as well as their temporal evolution and reconfiguration, their structure, their alliance strategies and their semantic particularities during a presidential campaign through the analysis of their digital traces. We conclude this paper with a comment on the Political and ethical implications of the use of social networks data in politics. We stress the importance of developing social macroscopes that will enable citizens to better understand how they collectively make society and propose as example the Politoscope, a macroscope that delivers some of our results in an interactive way.
June Purvis - One of the best experts on this subject based on the ideXlab platform.
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Sylvia Pankhurst (1882–1960), suffragette, Political Activist, artist and writer
Gender and Education, 2008Co-Authors: June PurvisAbstract:In this article, a biographical overview is offered of the life of [Estelle] Sylvia Pankhurst (1882–1960), suffragette, Political Activist, artist and writer, in order to provide a context for her 1959 proposal for an Ethiopian women’s college, which is published for the first time in this journal. Sylvia, one of five children born in Manchester, England, grew up in a radical household where she not only attended Political meetings but was exhorted to work for a more equal society. As a young woman, she trained as an artist but was soon drawn into the Women’s Social and Political Union (WSPU) founded by her mother in 1903 to campaign for the parliamentary vote for women. Sylvia, a socialist feminist, often found herself at odds with the radical feminist, women‐centred views of her mother and her elder sister, Christabel, the Chief Organiser of the WSPU and their mother’s acknowledged favourite. The tensions between Sylvia and her relatives intensified during the First World War which they supported and sh...
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sylvia pankhurst 1882 1960 suffragette Political Activist artist and writer
Gender and Education, 2008Co-Authors: June PurvisAbstract:In this article, a biographical overview is offered of the life of [Estelle] Sylvia Pankhurst (1882–1960), suffragette, Political Activist, artist and writer, in order to provide a context for her 1959 proposal for an Ethiopian women’s college, which is published for the first time in this journal. Sylvia, one of five children born in Manchester, England, grew up in a radical household where she not only attended Political meetings but was exhorted to work for a more equal society. As a young woman, she trained as an artist but was soon drawn into the Women’s Social and Political Union (WSPU) founded by her mother in 1903 to campaign for the parliamentary vote for women. Sylvia, a socialist feminist, often found herself at odds with the radical feminist, women‐centred views of her mother and her elder sister, Christabel, the Chief Organiser of the WSPU and their mother’s acknowledged favourite. The tensions between Sylvia and her relatives intensified during the First World War which they supported and sh...
Peder Anker - One of the best experts on this subject based on the ideXlab platform.
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The Politics of Ecology in South Africa on the Radical Left
Journal of the History of Biology, 2004Co-Authors: Peder AnkerAbstract:The South African ecologist and Political Activist Edward Roux (1903–1966) used evolutionary biology to argue against racism. During the cold-war, he transformed his communist beliefs into advocacy for scientific rationalism, management, and protection of nature against advancing capitalism. These pleas for saving the environment served as a vehicle for questioning the more risky issue of evolution and racial order in society. The link between ecological and Political order had long been an important theme among the country's ecologists and politicians alike. The statesman Jan Christian Smuts' holistic theory of evolution and racial order inspired the nation's ecologists to sanctify an ecologically informed racial policy. This idealist informed methodology stood in direct opposition to the materialist approach to ecology of Roux. These methodological debates reflected differing Political support from within the Union Party and people on the radical left, respectively. Ecology was of concern to politicians because understandings of the order of nature had direct implications for the racial order of the South African society.