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Hits 121 – 140 of 1.159

121
From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration
In: Media and Communication ; 9 ; 1 ; 171-180 ; Dark Participation in Online Communication: The World of the Wicked Web (2021)
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122
Us vs. Them as Structural Equivalence: Analysing Nationalist Discourse Networks in the Georgian Print Media
In: Politics and Governance ; 8 ; 2 ; 243-256 ; Policy Debates and Discourse Network Analysis (2021)
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123
Discourse Networks and Dual Screening: Analyzing Roles, Content and Motivations in Political Twitter Conversations
In: Politics and Governance ; 8 ; 2 ; 311-325 ; Policy Debates and Discourse Network Analysis (2021)
Abstract: The increasing relevance of social networking platforms is accompanied by a growing number of studies using digital trace data. However, most studies still lack further understanding of the data-generating process. This analytical gap can be directly attributed to the prevalence of quantitative approaches, as only qualitative work is able to generate these insights. The broad methodological toolset of Discourse Network Analysis addresses this shortcoming as it combines both qualitative and quantitative approaches. The present study therefore employs Discourse Network Analysis in order to (1) determine different user groups’ varying role as senders and recipients of targeted online conversations, (2) identify and compare Twitter users’ (simultaneous) reference to different forms of conversational Twitter content, and to (3) asses the motivation of @message authors to direct particular tweets at particular user groups. To this end, this study analyzes @messages during the BBC program 'Question Time' on 2nd of June 2017 - the final media encounter of Prime Minister Theresa May and Jeremy Corbyn in the context of the 2017 UK election campaign. We draw on the theoretical background of Maarten Hajer's discourse coalitions approach in order to investigate the preconditions for the formation of discourse coalitions in new and emerging virtual discourse arenas. Thus, our work not only mirrors the focus in existing literature on Twitter usage during high-profile political media events, but also emphasizes Twitter's unique features for interactive exchange. This article identifies different forms of meta-talk and policy issues, which vary in both their general popularity with Twitter users as well as their interconnectedness. Furthermore, our analysis uncovers the motivation behind the decisions of @message authors to send particular @messages to certain groups of Twitter users. Finally, we could establish that media events only temporarily affect the topical foci of @message authors.
Keyword: data capture; Datengewinnung; discourse; Diskurs; election campaign; Elections; electronic Media; elektronische Medien; Great Britain; Großbritannien; Interactive; interaktive; Jeremy Corbyn; journalism; Journalismus,Verlagswesen; media event; Medienereignis; Meinungsbildung; network analysis; Netzwerkanalyse; News media; online media; Online-Medien; opinion formation; political campaigns; political communication; Political Culture; political opinion; Political Process; Political science; Political Sociology; Politikwissenschaft; politische Kommunikation; politische Kultur; politische Meinung; politische Soziologie; politische Willensbildung; publishing; Publizistische Medien; social network; soziales Netzwerk; Theresa May; TV debate; Twitter; Wahlkampf
URL: https://doi.org/10.17645/pag.v8i2.2573
https://www.ssoar.info/ssoar/handle/document/71795
https://www.cogitatiopress.com/politicsandgovernance/article/view/2573
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124
Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
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125
Tweeting on dementia: A snapshot of the content and sentiment of tweets associated with dementia
In: First Monday; Volume 26, Number 6 - 7 June 2021 ; 1396-0466 (2021)
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126
DIGITAL SITES OF PROTEST: FARMERS’ PROTEST IN INDIA AND THE CONSTRUCTION OF A COLLECTIVE IDENTITY ON FACEBOOK
In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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127
SPACE, PLACE AND LOCATION IN SEXUAL SOCIAL MEDIA
In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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128
The role of cognitive authority in social media
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129
FROM TOP-DOWN TO BOTTOM-UP: POLITICAL IMAGE MANAGEMENT AND THE PRESERVATION OF WHITE SUPREMACY THROUGH VISUALS AND MEMES ON SOCIAL MEDIA PLATFORMS
In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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130
Persuasion Strategies in Misinformation-containing Weibo Posts
Chen, Sijing; Xiao, Lu; Mao, Jin. - : iSchools, 2021
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131
Combating abuse on social media platforms using natural language processing
Seyler, Dominic. - 2021
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132
Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model ; Identificación del cinismo del consumidor para reseñas en español utilizando un modelo de transformador español
González-López, Samuel; Bethard, Steven; Encinas Orozco, Francisca Cecilia. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2021
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133
ASIA: Automated social identity assessment using linguistic style
Russo, A; Stuart, A; Koschate-Reis, M. - : Psychonomic Society / Springer, 2021
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134
Sentiment Analysis for Fake News Detection
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135
Examining the Social Media Antecedents of Racial Justice: Evidence from Twitter
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136
Using Instagram for language learning
Wagner, Keith. - : University of Hawaii National Foreign Language Resource Center, 2021. : (co-sponsored by American Association of University of Supervisors and Coordinators; Center for Advanced Research on Language Acquisition; Center for Educational Reources in Culture, Language, and Literacy; Center for Open Educational Resources and Language Learning; Open Language Resource Center; Second Language Teaching and Resource Center), 2021
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137
Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach
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138
Blowing the Whistle on Opioid Overprescription: Insights from Patient Feedback on Physician Rating Websites
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139
Unsupervised Deep Learning for Fake Content Detection in Social Media
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140
Content and Social Network Analyses of Depression-related Tweets of African American College Students
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