55,175 research outputs found
Re-Discovering Aesthetics
The beginning of the 21st century has seen the renewed use of aesthetics as a critical and interpretive method within various discursive spheres. Particularly, and unsurprisingly, this move has been most pronounced in the discursive systems of philosophy and the artworld. It is to this more specific re-discovery that the authors in this journal address their arguments
Identifying Users with Opposing Opinions in Twitter Debates
In recent times, social media sites such as Twitter have been extensively
used for debating politics and public policies. These debates span millions of
tweets and numerous topics of public importance. Thus, it is imperative that
this vast trove of data is tapped in order to gain insights into public opinion
especially on hotly contested issues such as abortion, gun reforms etc. Thus,
in our work, we aim to gauge users' stance on such topics in Twitter. We
propose ReLP, a semi-supervised framework using a retweet-based label
propagation algorithm coupled with a supervised classifier to identify users
with differing opinions. In particular, our framework is designed such that it
can be easily adopted to different domains with little human supervision while
still producing excellent accuracyComment: Corrected typos in Section 4, under "Visibly Opinionated Users". The
numbers did not add up. Results remain unchange
"French Suburbs": a New Problem or a New Approach to Social Exclusion? GSPE Working Paper 1/27/2009
At the end of 1980s, the question of "quartiers sensibles" (at-risk neighborhoods) started being very publicized in France. It was not only the subject of many front page articles, but also the target of a new public policy aimed at promoting urban and social development in about 500 neighborhoods (Politique de la ville). I argue that such focalization on "quartiers sensibles" does not only result from increasing problems such as unemployment, poverty or juvenile delinquency. It also represents a major change in public policy. Focusing on "quartiers sensibles" directly contributed to the restructuring of the French Welfare State by centering its action on specific urban spaces rather than national territory, and on social links rather than economic reality, contrary to what Welfare State claimed to do during the Fordist period. The outbreak of November 2005 riots is inextricably bound up to the way some problems (like lack of communication and weakening social links) have been associated to the question of "quartiers sensibles" whereas the French model of integration, based on equality between abstract citizens, let some others (like ethnic discrimination) unquestioned
What changed your mind : the roles of dynamic topics and discourse in argumentation process
In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the in- creasing attention to characterize human arguments, most progress made so far focus on the debate outcome, largely ignoring the dynamic patterns in argumentation processes. This paper presents a study that automatically analyzes the key factors in argument persuasiveness, beyond simply predicting who will persuade whom. Specifically, we propose a novel neural model that is able to dynamically track the changes of latent topics and discourse in argumentative conversations, allowing the investigation of their roles in influencing the outcomes of persuasion. Extensive experiments have been conducted on argumentative conversations on both social media and supreme court. The results show that our model outperforms state-of-the-art models in identifying persuasive arguments via explicitly exploring dynamic factors of topic and discourse. We further analyze the effects of topics and discourse on persuasiveness, and find that they are both useful -- topics provide concrete evidence while superior discourse styles may bias participants, especially in social media arguments. In addition, we draw some findings from our empirical results, which will help people better engage in future persuasive conversations
"French Suburbs": A New Problem or a New Approach to Social Exclusion? CES Working Papers Series 160, 2008
At the end of 1980s, the question of "quartiers sensibles" (at-risk neighborhoods) started to be very publicized in France. It was not only the subject of many front-page articles, but also the target of a new public policy aimed at promoting urban and social development in about 500 neighborhoods (Politique de la ville). I argue that such a focus on "quartiers sensibles" does not only result from increasing problems such as unemployment, poverty or juvenile delinquency; it also represents a major change in public policy. Focusing on "quartiers sensibles" directly contributed to the restructuring of the French welfare state by centering its action on specific urban spaces rather than national territory, and on social links rather than economic reality, contrary to what the welfate state claimed to do during the Fordist period. The outbreak of riots in November 2005 is inextricably bound up with the way some problems (like lack of communication and weakening social links) have been associated with the question of "quartiers sensibles" whereas the French model of integration, based on equality among abstract citizens, left some others (like ethnic discrimination) unquestioned
Vote With Your Purse 2.0: Women's Online Giving, Offline Power
Examines trends in women's online political giving; how they use Web 2.0 tools to engage in, donate for, and network for social change; the characteristics of online donors; and the potential impact on women's political clout among donors
Search Bias Quantification: Investigating Political Bias in Social Media and Web Search
Users frequently use search systems on the Web as well as online social media to learn about ongoing events and public opinion on personalities. Prior studies have shown that the top-ranked results returned by these search engines can shape user opinion about the topic (e.g., event or person) being searched. In case of polarizing topics like politics, where multiple competing perspectives exist, the political bias in the top search results can play a significant role in shaping public opinion towards (or away from) certain perspectives. Given the considerable impact that search bias can have on the user, we propose a generalizable search bias quantification framework that not only measures the political bias in ranked list output by the search system but also decouples the bias introduced by the different sources—input data and ranking system. We apply our framework to study the political bias in searches related to 2016 US Presidential primaries in Twitter social media search and find that both input data and ranking system matter in determining the final search output bias seen by the users. And finally, we use the framework to compare the relative bias for two popular search systems—Twitter social media search and Google web search—for queries related to politicians and political events. We end by discussing some potential solutions to signal the bias in the search results to make the users more aware of them.publishe
Ideological and Temporal Components of Network Polarization in Online Political Participatory Media
Political polarization is traditionally analyzed through the ideological
stances of groups and parties, but it also has a behavioral component that
manifests in the interactions between individuals. We present an empirical
analysis of the digital traces of politicians in politnetz.ch, a Swiss online
platform focused on political activity, in which politicians interact by
creating support links, comments, and likes. We analyze network polarization as
the level of intra- party cohesion with respect to inter-party connectivity,
finding that supports show a very strongly polarized structure with respect to
party alignment. The analysis of this multiplex network shows that each layer
of interaction contains relevant information, where comment groups follow
topics related to Swiss politics. Our analysis reveals that polarization in the
layer of likes evolves in time, increasing close to the federal elections of
2011. Furthermore, we analyze the internal social network of each party through
metrics related to hierarchical structures, information efficiency, and social
resilience. Our results suggest that the online social structure of a party is
related to its ideology, and reveal that the degree of connectivity across two
parties increases when they are close in the ideological space of a multi-party
system.Comment: 35 pages, 11 figures, Internet, Policy & Politics Conference,
University of Oxford, Oxford, UK, 25-26 September 201
PoliMedia - Improving Analyses of Radio, TV & Newspaper Coverage of Political Debates
Abstract. Analysing media coverage across several types of media-outlets is a
challenging task for academic researchers. The PoliMedia project aimed to
showcase the potential of cross-media analysis by linking the digitised transcriptions
of the debates at the Dutch Parliament (Dutch Hansard) with three
media-outlets: 1) newspapers in their original layout of the historical newspaper
archive at the National Library, 2) radio bulletins of the Dutch National Press
Agency (ANP) and 3) newscasts and current affairs programs from the Netherlands
Institute for Sound and Vision. In this paper we describe generally how
these links were created and we introduce the PoliMedia search user interface
developed for scholars to navigate the links. In evaluation it was found that the
linking algorithm had a recall of 67% and precision of 75%. Moreover, in an
eye tracking evaluation we found that the interface enabled scholars to perform
known-item and exploratory searches for qualitative analysis
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