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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)
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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; Dickens, L; Naserianhanzaei, E; Levine, M. - : Psychonomic Society / Springer, 2021
Abstract: This is the final version. Available on open access from Springer via the DOI in this record. ; Data Availability: In the interest of open science and replicability, we provide an accessible step-by-step tutorial of how to replicate our proof-of-concept studies, which can be found on ASIA’s GitHub page (https://github.com/Identity-lab/Tutorial-on-salient-social-Identity-detection-model). The tutorial contains the Python code for preparing the datasets, and the code for training and testing the models. Data for each study, including the necessary LIWC vectors and other relevant variables for each dataset, can be found on OSF: https://osf.io/87t6h/?view_only=a1b5afe488db4014b3f21ed808bcceb9. For ethical reasons (see Step 1), the original posts cannot be shared publicly but are available upon reasonable request from the first author. ; The various group and category memberships that we hold are at the heart of who we are. They have been shown to affect our thoughts, emotions, behavior, and social relations in a variety of social contexts, and have more recently been linked to our mental and physical well-being. Questions remain, however, over the dynamics between different group memberships and the ways in which we cognitively and emotionally acquire these. In particular, current assessment methods are missing that can be applied to naturally occurring data, such as online interactions, to better understand the dynamics and impact of group memberships in naturalistic settings. To provide researchers with a method for assessing specific group memberships of interest, we have developed ASIA (Automated Social Identity Assessment), an analytical protocol that uses linguistic style indicators in text to infer which group membership is salient in a given moment, accompanied by an in-depth open-source Jupyter Notebook tutorial (https://github.com/Identity-lab/Tutorial-on-salient-social-Identity-detection-model). Here, we first discuss the challenges in the study of salient group memberships, and how ASIA can address some of these. We then demonstrate how our analytical protocol can be used to create a method for assessing which of two specific group memberships—parents and feminists—is salient using online forum data, and how the quality (validity) of the measurement and its interpretation can be tested using two further corpora as well as an experimental study. We conclude by discussing future developments in the field. ; Engineering and Physical Sciences Research Council (EPSRC)
Keyword: Natural language processing; Psychological assessment; Social categorization; Social identity; Social media data
URL: http://hdl.handle.net/10871/124775
https://doi.org/10.3758/s13428-020-01511-3
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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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