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"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
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In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 72-90 (2022)
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Constructive Aggression? Multiple Roles of Aggressive Content in Political Discourse on Russian YouTube
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In: Media and Communication ; 9 ; 1 ; 181-194 ; Dark Participation in Online Communication: The World of the Wicked Web (2022)
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The effect of the shaw English online channel on the EFL students’ speaking ability
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 202-214 (2022) (2022)
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“This is not Tumblr”: critical postures of internet users about a tutorial video on YouTube ; “Isso não é Tumblr”: posturas críticas de internautas sobre um vídeo-tutorial no YouTube
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In: Entrepalavras; v. 11, n. 3 (11): Linguagem e Tecnologia; 335-355 (2022)
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The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health
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Italian YouTube Hate Speech Corpus
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Abstract:
We present an Italian YouTube dataset manually annotated for hate speech types and targets. The comments to be annotated were sampled from the Italian YouTube comments on videos about the Covid-19 pandemic in the period from January 2020 to May 2020. Two sets were annotated: a training set with 59,870 comments (IMSyPP_IT_YouTube_comments_train.csv) and an evaluation set with 10,536 comments (IMSyPP_IT_YouTube_comments_evaluation.csv). The dataset was annotated by 8 annotators with each comment being annotated by two annotators. It was used to train a classification model for hate speech types detection that is publicly available at the following URL: https://huggingface.co/IMSyPP/hate_speech_it. The dataset consists of the following fields: ID_Commento - YouTube ID of the comment ID_Video - YouTube ID of the video under which the comment was posted Testo - text of the comment Tipo - type of hate speech Target - the target of hate speech Additionally, we have included the Italian YouTube data (SR_YT_comments.csv) which was collected in the same period as the training data and was annotated using the aforementioned model. The automatically labeled data was used to analyze the relationship between hate speech and misinformation on Italian YouTube. The results of this analysis are presented in the associated paper. The analyzed data are represented with the following fields: ID_Commento - YouTube ID of the comment Label - automatically assigned label by the model is_questionable - the type of channel where the comment was collected from; the channels could either be categorized as spreading reliable or questionable information.
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Keyword:
hate speech; misinformation; YouTube
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URL: http://hdl.handle.net/11356/1450
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On the Limits of Platform-Centric Research: YouTube, ASMR, and Affordance Bilingualism
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In: International Journal of Communication; Vol 15 (2021); 21 ; 1932-8036 (2021)
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Using YouTube as the Primary Transcription and Translation Platform for Remote Corpus Work
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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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WHITE SUPREMACISTS DECEPTIVELY USING SCREENSHOTS AS EVIDENCE: A SOCIAL SEMIOTIC APPROACH TO ANALYSING CONSPIRATORIAL YOUTUBE VIDEOS
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In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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Draw My Life: An analysis of the quantity and typology of emotional linguistic content in self-identified female and male YouTubers’ life narratives
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Using YouTube as the Primary Transcription and Translation Platform for Remote Corpus Work
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The effects of captions on L2 learners’ comprehension of vlogs
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Aldukhayel, Dukhayel. - : University of Hawaii National Foreign Language Resource Center, 2021. : Center for Language & Technology, 2021. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2021
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Wissenschaft auf YouTube : Interaktionsanalysen zur Anschlusskommunikation
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Christ, Katharina. - : Justus-Liebig-Universität Gießen, 2021. : FB 05 - Sprache, Literatur, Kultur. Germanistik, 2021
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\"Clica aqui no meu canal!\": mediações e produções de sentidos do consumo para meninas no YouTube ; Click here on my channel!: mediations and productions of consumption meanings for girls on YouTube.
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Meira, Karla de Melo Alves. - : Biblioteca Digital de Teses e Dissertações da USP, 2021. : Universidade de São Paulo, 2021. : Escola de Comunicações e Artes, 2021
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On the conversation between female videobloggers and commentators
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Gender Indexicality and Perception of Intimacy in the Chinese Media: A Critical Discourse Analysis from Contemporary Urban-Themed Television Drama Serials
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Wu, Tianqi. - : The University of Sydney, 2021. : Faculty of Arts and Social Sciences, Sydney School of Education and Social Work, 2021
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What Does a Pandemic Sound Like? The Emergence of COVID Verbal Art
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In: Anthropology Publications (2021)
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Dependency Lengths in Speech and Writing: A Cross-Linguistic Comparison via YouDePP, a Pipeline for Scraping and Parsing YouTube Captions
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In: Proceedings of the Society for Computation in Linguistics (2021)
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