The Experts below are selected from a list of 65130 Experts worldwide ranked by ideXlab platform
David Leopold - One of the best experts on this subject based on the ideXlab platform.
-
the young karl marx german philosophy Modern Politics and human flourishing
2007Co-Authors: David LeopoldAbstract:Acknowledgements A note on language, references, and translation 1. Introduction 2. German philosophy 3. Modern Politics 4. Human flourishing 5. Epilogue Bibliographical note.
-
The Young Karl Marx: German philosophy, Modern Politics, and human flourishing - The young Karl Marx : German philosophy, Modern Politics, and human flourishing
2007Co-Authors: David LeopoldAbstract:Acknowledgements A note on language, references, and translation 1. Introduction 2. German philosophy 3. Modern Politics 4. Human flourishing 5. Epilogue Bibliographical note.
Kenneth Newton - One of the best experts on this subject based on the ideXlab platform.
-
may the weak force be with you the power of the mass media in Modern Politics
European Journal of Political Research, 2006Co-Authors: Kenneth NewtonAbstract:Abstract. The idea that the Modern mass media have a strong and malign effect on many aspects of social and political life is widely and strongly held. Television is often said to undermine democratic government popular support for leaders and institutions. In spite of all that has been written about media malaise, however, both theory and evidence suggests that the media are a comparatively weak force whose effects can be deflected, diluted and diffused by stronger forces. These include bedrocks political values associated with class, religion, age, gender and education, as well as social networks and discussions, distrust of the mass media, and personal knowledge and experience. Equally, the variables that mediate the media may also magnify its effects so that what appears to be a large media effect is, in fact, the result of an interaction between the media and other forces. This article lays out the argument of the media malaise literature that covers government and Politics, then outlines the social forces that mediate the media, and finally provides some evidence to illustrate the argument that the media are generally a weak force in society.
Adam Shehata - One of the best experts on this subject based on the ideXlab platform.
-
media malaise or a virtuous circle exploring the causal relationships between news media exposure political news attention and political interest
European Journal of Political Research, 2010Co-Authors: Jesper Stromback, Adam ShehataAbstract:Being politically interested is one of the most important norms from a democratic perspective, as it is a crucial antecedent for voting, political knowledge, civic and political participation, and attentiveness to political information. However, only limited research has focused on the relationship between media use and political interest, despite the notion that Modern Politics is mediated Politics. Even more important is the fact that the causal relationship between media use and political interest still has not been firmly established. Against this background, the purpose of this study is to investigate the causal relationship between news media use and political interest.The results show that there are indeed causal and reciprocal relationships between political interest and attention to political news, and between political interest and exposure to some, but not all, news media. Overall these results lend stronger support to the perspective of media mobilisation theories than media malaise theories.
Kim Hyoungshick - One of the best experts on this subject based on the ideXlab platform.
-
What's in Twitter I Know What Parties are Popular and Who You are Supporting Now!
Social Network Analysis and Mining, 2013Co-Authors: Antoine Boutet, Eiko Yoneki, Kim HyoungshickAbstract:In Modern Politics, parties and individual candidates must have an online presence and usually have dedicated social media coordinators. In this context, we study the usefulness of analysing Twitter messages to identify both the characteristics of political parties and the political leaning of users. As a case study, we collected the main stream of Twitter related to the 2010 UK General Election during the associated period - gathering around 1, 150, 000 messages from about 220, 000 users. We examined the characteristics of the three main parties in the election and highlighted the main differences between parties. First, the retweet structure is highly clustered according to political parties. Second, users are more likely to refer to their preferred party and use more positive affect words for the party compared with other parties. Finally, the self-description of users and the List feature can reflect the political orien- tation of users. From these observations, we develop both an incremental and practical classification method which uses the number of Twitter messages re- ferring to a particular political party or retweets, and a classifier leveraging the valuable semantic content of the List feature to estimate the overall political leaning of users. The experimental results showed that the proposed incre- mental method achieved an accuracy of 86% for classifying the users' political leanings and outperforms other classification methods that require expensive costs for tuning classifier parameters and/or knowledge about network topol- ogy. This advantage allows this approach to be a good candidate for social media analytics application in real time for political institution. The proposed method using List feature, in turn, achieved an accuracy of 92%.
-
What's in Twitter: I Know What Parties are Popular and Who You are Supporting Now!
2012Co-Authors: Antoine Boutet, Eiko Yoneki, Kim HyoungshickAbstract:In Modern Politics, parties and individual candidates must have an online presence and usually have dedicated social media coordinators. In this context, we study the usefulness of analysing Twitter messages to identify both the characteristics of political parties and the political leaning of users. As a case study, we collected the main stream of Twitter related to the 2010 UK General Election during the associated period - gathering around 1,150,000 messages from about 220,000 users. We examined the characteristics of the three main parties in the election and highlighted the main differences between parties. First, Labour members were the most active and influential during the election while Conservative members were the most organized to promote their activities. Second, the websites and blogs that each political party's members supported are clearly different from those that all the other political parties' members supported. From these observations, we develop a simple and practical classification method which uses the number of Twitter messages referring to a particular political party. The experimental results showed that the proposed classification method achieved about 86% classifica- tion accuracy and outperforms other classification methods that require expensive costs for tuning classifier parameters and/or knowledge about network topology.
Antoine Boutet - One of the best experts on this subject based on the ideXlab platform.
-
What's in Twitter I Know What Parties are Popular and Who You are Supporting Now!
Social Network Analysis and Mining, 2013Co-Authors: Antoine Boutet, Eiko Yoneki, Kim HyoungshickAbstract:In Modern Politics, parties and individual candidates must have an online presence and usually have dedicated social media coordinators. In this context, we study the usefulness of analysing Twitter messages to identify both the characteristics of political parties and the political leaning of users. As a case study, we collected the main stream of Twitter related to the 2010 UK General Election during the associated period - gathering around 1, 150, 000 messages from about 220, 000 users. We examined the characteristics of the three main parties in the election and highlighted the main differences between parties. First, the retweet structure is highly clustered according to political parties. Second, users are more likely to refer to their preferred party and use more positive affect words for the party compared with other parties. Finally, the self-description of users and the List feature can reflect the political orien- tation of users. From these observations, we develop both an incremental and practical classification method which uses the number of Twitter messages re- ferring to a particular political party or retweets, and a classifier leveraging the valuable semantic content of the List feature to estimate the overall political leaning of users. The experimental results showed that the proposed incre- mental method achieved an accuracy of 86% for classifying the users' political leanings and outperforms other classification methods that require expensive costs for tuning classifier parameters and/or knowledge about network topol- ogy. This advantage allows this approach to be a good candidate for social media analytics application in real time for political institution. The proposed method using List feature, in turn, achieved an accuracy of 92%.
-
What's in Twitter: I Know What Parties are Popular and Who You are Supporting Now!
2012Co-Authors: Antoine Boutet, Eiko Yoneki, Kim HyoungshickAbstract:In Modern Politics, parties and individual candidates must have an online presence and usually have dedicated social media coordinators. In this context, we study the usefulness of analysing Twitter messages to identify both the characteristics of political parties and the political leaning of users. As a case study, we collected the main stream of Twitter related to the 2010 UK General Election during the associated period - gathering around 1,150,000 messages from about 220,000 users. We examined the characteristics of the three main parties in the election and highlighted the main differences between parties. First, Labour members were the most active and influential during the election while Conservative members were the most organized to promote their activities. Second, the websites and blogs that each political party's members supported are clearly different from those that all the other political parties' members supported. From these observations, we develop a simple and practical classification method which uses the number of Twitter messages referring to a particular political party. The experimental results showed that the proposed classification method achieved about 86% classifica- tion accuracy and outperforms other classification methods that require expensive costs for tuning classifier parameters and/or knowledge about network topology.
-
Member Classification and Party Characteristics in Twitter during UK Election
2011Co-Authors: Antoine Boutet, Eiko YonekiAbstract:In Modern Politics, parties and individual candidates must have an online presence and usually have dedicated social media coordinators. In this context, real time member classification and party characterization, taking into account the dynamic nature of social media, are essential to highlight the main differences between parties and to monitor their activities, influences, structures, contents and mood. This paper summarizes a case study of member classification and party characteristics in Twitter during the UK election.
