TY - CHAP A1 - Moshnikov, Ilia A1 - Rykova, Eugenia ED - Cotgrove, Louis ED - Herzberg, Laura ED - Lüngen, Harald ED - Pisetta, Ines T1 - Little Big Data: Karelian Twitter Corpus T2 - Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2023), 14–15 September 2023, University of Mannheim, Germany N2 - This paper investigates Karelian language visibility on Twitter and describes the first corresponding data collection using language-related keywords and hashtags. In total, 2626 entries written fully or partially in Livvi, South and Viena Karelian were scraped with Postman API. The visibility of Karelian on Twitter has been considerably increasing in the past few years, Livvi-Karelian being the most prominent dialect. The data were analysed linguistically (manually and with language detection software) and thematically. Although language-related topics are the most popular, there is a substantial number of entries in eight further topics. Applicability of the collected data for linguistic and sociological research, and further data collection considerations are discussed. KW - Karelian KW - minority language recognition KW - Twitter Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18018 UR - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-120953 SN - 978-3-937241-95-1 SP - 142 EP - 147 PB - Leibniz-Institut für Deutsche Sprache (IDS) CY - Mannheim ER - TY - CHAP A1 - Moshnikov, Ilia A1 - Rykova, Eugenia ED - Cotgrove, Louis ED - Herzberg, Laura ED - Lüngen, Harald T1 - Collecting minority language data from Twitter (X): A case study of Karelian T2 - Exploring digitally-mediated communication with corpora : Methods, analyses, and corpus construction N2 - The visibility of an endangered language online plays a crucial role in language revitalisation. The internet offers a new domain for using minority languages, especially for speakers living outside the language communities. This article investigates Karelian language visibility on X, formerly known as Twitter, and describes the first corresponding data collection using language-related keywords and hashtags. In total, 2,625 entries written fully or partially in Livvi, South and Viena Karelian were scraped with Postman API. The visibility of Karelian on Twitter (X) has been increasing considerably in the past few years, with Livvi-Karelian being the most prominent dialect. Automatic language detection was tested on such data for Karelian for the first time, and allows the identification of Livvi-Karelian (or a mix of dialects that include Livvi-Karelian) with 99.7% sensitivity, and South Karelian and Viena Karelian as Livvi-Karelian with 90% and 73.8% sensitivity, respectively. The entries were also analysed thematically, and 10 major topics were identified. Since the data was collected using keywords and hashtags related to the Karelian language itself, most of the entries are related to the language and vocabulary in sense of translation or language learning. Language status and policy is another important topic identified in the data. Although language-related topics are the most popular, there are a substantial number of entries on eight further topics. Excluding citations from religious texts and media headlines, 751 Twitter (X) entries could be used for linguistic and sociological research. Further data collection considerations are also discussed. KW - Karelian KW - X (Twitter) KW - automatic language recognition KW - data scraping KW - language policy KW - language revitalisation KW - language status KW - minority language Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20583 SN - 978-3-11-143401-8 SP - 163 EP - 186 PB - De Gruyter Brill ER -