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Hits 1 – 20 of 160
1
"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
Pook, Linus
;
Rocha Dietz, Rocío
;
Stanjek, Grischa
In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 72-90 (2022)
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2
Constructive Aggression? Multiple Roles of Aggressive Content in Political Discourse on Russian YouTube
Nepiyushchikh, Dmitry
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Litvinenko, Anna
;
Blekanov, Ivan
...
In: Media and Communication ; 9 ; 1 ; 181-194 ; Dark Participation in Online Communication: The World of the Wicked Web (2022)
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3
The effect of the shaw English online channel on the EFL students’ speaking ability
Riswanto Riswanto
;
Anita Anita
;
Kasmaini Kasmaini
...
In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 202-214 (2022) (2022)
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4
“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
Seba, Adson Luan Duarte Vilasboas
;
Gallardo, Bárbara Cristina
In: Entrepalavras; v. 11, n. 3 (11): Linguagem e Tecnologia; 335-355 (2022)
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5
The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health
Stigall, Regan
. - 2021
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6
Italian YouTube Hate Speech Corpus
Cinelli, Matteo
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Pelicon, Andraž
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Mozetič, Igor
. - : Jožef Stefan Institute, 2021
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7
English YouTube Hate Speech Corpus
Ljubešić, Nikola
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Mozetič, Igor
;
Cinelli, Matteo
;
Kralj Novak, Petra
. - : Jožef Stefan Institute, 2021
Abstract:
We present an English YouTube dataset manually annotated for hate speech types and targets. The comments to be annotated were sampled from the English 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 51,655 comments (IMSyPP_EN_YouTube_comments_train.csv) and two evaluation sets, one annotated in-context (IMSyPP_EN_YouTube_comments_evaluation_context.csv), another out-of-context (IMSyPP_EN_YouTube_comments_evaluation_no_context.csv), each based on the same 10,759 comments. The dataset was annotated by 10 annotators with most (99.9%) of the comments 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_en. The dataset consists of the following fields: Video_ID - YouTube ID of the video under which the comment was posted Comment_ID - YouTube ID of the comment Text - text of the comment Type - type of hate speech Target - the target of hate speech Annotator - code of the human annotator
Keyword:
hate speech
;
offensive language
;
social media
;
YouTube
URL:
http://hdl.handle.net/11356/1454
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8
On the Limits of Platform-Centric Research: YouTube, ASMR, and Affordance Bilingualism
Maddox, Jessica
In: International Journal of Communication; Vol 15 (2021); 21 ; 1932-8036 (2021)
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9
Using YouTube as the Primary Transcription and Translation Platform for Remote Corpus Work
Rice, Alexander
. - : University of Hawaii Press, 2021
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10
From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration
Paasch-Colberg, Sünje
;
Strippel, Christian
;
Trebbe, Joachim
...
In: Media and Communication ; 9 ; 1 ; 171-180 ; Dark Participation in Online Communication: The World of the Wicked Web (2021)
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11
WHITE SUPREMACISTS DECEPTIVELY USING SCREENSHOTS AS EVIDENCE: A SOCIAL SEMIOTIC APPROACH TO ANALYSING CONSPIRATORIAL YOUTUBE VIDEOS
Inwood, Olivia
In: AoIR Selected Papers of Internet Research; 2021: AoIR2021 ; 2162-3317 (2021)
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12
Draw My Life: An analysis of the quantity and typology of emotional linguistic content in self-identified female and male YouTubers’ life narratives
Kay Ruiz, Annabel
. - 2021
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13
Using YouTube as the Primary Transcription and Translation Platform for Remote Corpus Work
Rice, Alexander
. - : University of Hawaii Press, 2021
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14
The effects of captions on L2 learners’ comprehension of vlogs
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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15
Wissenschaft auf YouTube : Interaktionsanalysen zur Anschlusskommunikation
Christ, Katharina
. - : Justus-Liebig-Universität Gießen, 2021. : FB 05 - Sprache, Literatur, Kultur. Germanistik, 2021
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16
\"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.
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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17
On the conversation between female videobloggers and commentators
Iyanga Mambo, Ester
. - 2021
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18
Gender Indexicality and Perception of Intimacy in the Chinese Media: A Critical Discourse Analysis from Contemporary Urban-Themed Television Drama Serials
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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19
What Does a Pandemic Sound Like? The Emergence of COVID Verbal Art
Pennesi, Karen E
In: Anthropology Publications (2021)
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20
Dependency Lengths in Speech and Writing: A Cross-Linguistic Comparison via YouDePP, a Pipeline for Scraping and Parsing YouTube Captions
Kramer, Alex
In: Proceedings of the Society for Computation in Linguistics (2021)
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