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Start Over Language Russian Publisher University of Nottingham Original context has metadata only false Harvested from LINDAT/CLARIAH-CZ repository

1. Nottinghamer Korpus Deutscher YouTube-Sprache (The NottDeuYTSch Corpus)

Creator:
Cotgrove, Louis Alexander
Publisher:
University of Nottingham
Type:
text and corpus
Subject:
youth language, Computer-Mediated Communication, Digitally-Mediated Communication, CMC, DMC, online, YouTube, digital, emoji, translanguaging, multilingualism, and social media
Language:
German, English, Russian, Turkish, and Serbo-Croatian
Description:
The NottDeuYTSch corpus contains over 33 million words taken from approximately 3 million YouTube comments from videos published between 2008 to 2018 targeted at a young, German-speaking demographic and represents an authentic language snapshot of young German speakers. The corpus was proportionally sampled based on video category and year from a database of 112 popular German-speaking YouTube channels in the DACH region for optimal representativeness and balance and contains a considerable amount of associated metadata for each comment that enable further longitudinal cross-sectional analyses.
Rights:
Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB

2. Nottinghamer Korpus Deutscher YouTube-Sprache (The NottDeuYTSch Corpus) (2022-07-27)

Creator:
Cotgrove, Louis Alexander
Publisher:
University of Nottingham
Type:
text and corpus
Subject:
youth language, Computer-Mediated Communication, Digitally-Mediated Communication, CMC, DMC, online, YouTube, digital, emoji, translanguaging, multilingualism, social media, digital humanities, and Web corpus
Language:
German, English, Russian, Turkish, and Serbo-Croatian
Description:
The NottDeuYTSch corpus contains over 33 million words taken from approximately 3 million YouTube comments from videos published between 2008 to 2018 targeted at a young, German-speaking demographic and represents an authentic language snapshot of young German speakers. The corpus was proportionally sampled based on video category and year from a database of 112 popular German-speaking YouTube channels in the DACH region for optimal representativeness and balance and contains a considerable amount of associated metadata for each comment that enable further longitudinal cross-sectional analyses.
Rights:
Creative Commons - Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), http://creativecommons.org/licenses/by-nc/4.0/, and PUB