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From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration
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In: Media and Communication ; 9 ; 1 ; 171-180 ; Dark Participation in Online Communication: The World of the Wicked Web (2021)
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Us vs. Them as Structural Equivalence: Analysing Nationalist Discourse Networks in the Georgian Print Media
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In: Politics and Governance ; 8 ; 2 ; 243-256 ; Policy Debates and Discourse Network Analysis (2021)
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Discourse Networks and Dual Screening: Analyzing Roles, Content and Motivations in Political Twitter Conversations
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In: Politics and Governance ; 8 ; 2 ; 311-325 ; Policy Debates and Discourse Network Analysis (2021)
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Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
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In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
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Tweeting on dementia: A snapshot of the content and sentiment of tweets associated with dementia
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In: First Monday; Volume 26, Number 6 - 7 June 2021 ; 1396-0466 (2021)
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DIGITAL SITES OF PROTEST: FARMERS’ PROTEST IN INDIA AND THE CONSTRUCTION OF A COLLECTIVE IDENTITY ON FACEBOOK
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In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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Abstract:
In September 2020, the Indian government passed a set of farm laws, which have a pro-market leaning. While the nature of the passing of the bills is debated, largely it is seen as a controversial move, as the bills were passed without proper consultation with the farmers' community. The farmers' community, to create a sympathetic narrative to their own cause, set up a Facebook page called $2 in November. The Facebook page has around five hundred thousand followers and gives daily updates via photos, statuses, and videos about the farmers' protests. This paper looks at digital sites of protest and platform affordances, through which un-informed or unaware hyper-individualised publics are brought in by the protest community to help construct a collective identity. It examines the ongoing farmers’ protest in India and a Facebook page that was specifically created by the protest community called, $2 , and how it is able to create a common collective identity despite the cultural and linguistic differences in India. Using textual and visual analysis, the paper focuses on audio-visual posts on this page with extended captions describing personalised experiences of the farmer protests and helping in the construction of the collective identity.
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Keyword:
digital activism; farmers' protest; protests; social media; social movements
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URL: https://journals.uic.edu/ojs/index.php/spir/article/view/11862
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SPACE, PLACE AND LOCATION IN SEXUAL SOCIAL MEDIA
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In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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FROM TOP-DOWN TO BOTTOM-UP: POLITICAL IMAGE MANAGEMENT AND THE PRESERVATION OF WHITE SUPREMACY THROUGH VISUALS AND MEMES ON SOCIAL MEDIA PLATFORMS
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In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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Persuasion Strategies in Misinformation-containing Weibo Posts
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Combating abuse on social media platforms using natural language processing
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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
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ASIA: Automated social identity assessment using linguistic style
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Examining the Social Media Antecedents of Racial Justice: Evidence from Twitter
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Using Instagram for language learning
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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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Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach
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Blowing the Whistle on Opioid Overprescription: Insights from Patient Feedback on Physician Rating Websites
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Unsupervised Deep Learning for Fake Content Detection in Social Media
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Content and Social Network Analyses of Depression-related Tweets of African American College Students
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