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"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
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
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
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
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; Pelicon, Andraž; Mozetič, Igor. - : Jožef Stefan Institute, 2021
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English YouTube Hate Speech Corpus
Ljubešić, Nikola; Mozetič, Igor; Cinelli, Matteo. - : Jožef Stefan Institute, 2021
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8
On the Limits of Platform-Centric Research: YouTube, ASMR, and Affordance Bilingualism
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
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
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
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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
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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
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
In: Proceedings of the Society for Computation in Linguistics (2021)
Abstract: Recording, transcribing, and annotating naturalistic spoken data is typically difficult and time-intensive. Online sources, however, are a rich and relatively untapped source of naturalistic speech. Using corpora of 7 languages gathered via YouDePP, a pipeline for scraping and dependency-parsing pre-transcribed speech from YouTube, I investigate how dependency length minimization (DLM) varies across written and spoken modalities. I compare the dependency length growth rates in these corpora to those in Universal Dependencies 2.6 and find that dependency lengths in writing are not consistently longer than those in speech. Rather, the dependency lengths of more head-initial, SVO languages grew at a slightly faster rate in speech than in writing, while the reverse pattern held for more head-final, SOV languages.
Keyword: Computational Linguistics; dependency length minimization; dependency locality; spoken corpora; Typological Linguistics and Linguistic Diversity; typology; YouTube
URL: https://scholarworks.umass.edu/scil/vol4/iss1/37
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1175&context=scil
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