Page: 1... 3 4 5 6 7 8 9 10 11... 58
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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
|
|
BASE
|
|
Hide details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
127 |
SPACE, PLACE AND LOCATION IN SEXUAL SOCIAL MEDIA
|
|
|
|
In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
130 |
Persuasion Strategies in Misinformation-containing Weibo Posts
|
|
|
|
BASE
|
|
Show details
|
|
131 |
Combating abuse on social media platforms using natural language processing
|
|
|
|
BASE
|
|
Show details
|
|
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
|
|
|
|
BASE
|
|
Show details
|
|
133 |
ASIA: Automated social identity assessment using linguistic style
|
|
|
|
BASE
|
|
Show details
|
|
135 |
Examining the Social Media Antecedents of Racial Justice: Evidence from Twitter
|
|
|
|
BASE
|
|
Show details
|
|
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
|
|
BASE
|
|
Show details
|
|
137 |
Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach
|
|
|
|
BASE
|
|
Show details
|
|
138 |
Blowing the Whistle on Opioid Overprescription: Insights from Patient Feedback on Physician Rating Websites
|
|
|
|
BASE
|
|
Show details
|
|
139 |
Unsupervised Deep Learning for Fake Content Detection in Social Media
|
|
|
|
BASE
|
|
Show details
|
|
140 |
Content and Social Network Analyses of Depression-related Tweets of African American College Students
|
|
|
|
BASE
|
|
Show details
|
|
Page: 1... 3 4 5 6 7 8 9 10 11... 58
|
|