none 10.1075/ahs.7.12lai John Benjamins Publishing Company John Benjamins Publishing Company 1757 91442671 2413778 1418872 202412102251000001 10.1075 2024-12-10T16:53:48Z 2017-07-05T08:26:54Z 6 2214-1057 10.1075/ahs https://benjamins.com/catalog/ahs Tanja Säily University of Helsinki https://orcid.org/0000-0003-4407-8929 Arja Nurmi University of Tampere Minna Palander-Collin University of Helsinki https://orcid.org/0000-0001-8428-4423 Anita Auer Université de Lausanne This volume explores potential paths in historical sociolinguistics, with a particular focus on the inter-related areas of methodological innovations, hitherto un- or under-explored textual resources, and theoretical advancements and challenges. The individual chapters cover Dutch, Finnish and different varieties of English and are based on data spanning from the fifteenth century to the present day. Paying tribute to Terttu Nevalainen’s pioneering work, the book highlights the wide range and complexity of the field of historical sociolinguistics and presents achievements and challenges of interdisciplinary collaboration. The book is of interest to a wide readership, ranging from scholars of historical linguistics, sociolinguistics, corpus linguistics and digital humanities to (advanced) graduate and postgraduate students in courses on language variation and change. 7 12 19 2017 11 24 2017 9789027200860 9789027264817 John Benjamins Publishing Company Amsterdam 10.1075/ahs.7 http://www.jbe-platform.com/content/books/9789027264817 https://www.degruyter.com/document/doi/10.1075/ahs.7/html https://www.jbe-platform.com/deliver/fulltext/9789027264817.pdf Mikko Laitinen https://orcid.org/0000-0003-3123-6932 Jonas Lundberg https://orcid.org/0000-0001-9775-4594 Magnus Levin Linnaeus University Linnaeus University https://orcid.org/0000-0002-5613-7618 Alexander Lakaw University of Eastern Finland University of Eastern Finland https://orcid.org/0000-0002-5985-6183 Using present-day social media data in variationist studies This article makes use of big and rich present-day data to revisit the social network model in sociolinguistics. This model predicts that mobile individuals with ties outside a home community and subsequent loose-knit networks tend to promote the diffusion of linguistic innovations. The model has been applied to a range of small ethnographic networks. We use a database of nearly 200,000 informants who send micro-blog messages on Twitter. We operationalize networks using two ratio variables; one of them is a truly weak tie and the other a slightly stronger one. The results show that there is a straightforward increase of innovative behavior in the truly weak tie network, but the data indicate that innovations also spread under conditions of stronger networks, given that the network size is large enough. On the methodological level, our approach opens up new horizons in using big and often freely available data in sociolinguistics, both past and present. 12 19 2017 11 24 2017 303 325 10.1075/ahs.7.12lai https://benjamins.com/catalog/ahs.7.12lai https://www.degruyter.com/document/doi/10.1075/ahs.7.12lai/html Tenth International Conference on Language Resources and Evaluation (LREC 2016). Proceedings of the 4th Workshop on Challenges in the Management of Large Corpora (CMLC-4) Barbaresi 24 2016 Collection and indexation of Tweets with a geographical focus 10.1515/9783110923223 Gender and lexical type frequencies in Finland Twitter English Coats 2015 Mapping the geographical diffusion of new words Eisenstein 2012 European Journal of English Studies European Journal of English Studies 4 3 2000 A special issue on Social Network Analysis and the History of English 10.1007/978-3-540-70956-5_1 10.1017/CBO9780511551758.012 10.1177/2043820613513392 Where in the world are you? Geolocation and language identification in Twitter Graham 2013 10.1086/225469 10.1016/j.compenvurbsys.2015.12.003 10.1145/1397735.1397741 Journal of Universal Computer Science Laitinen Creating the Nordic Tweet Stream: A real-time monitor corpus of rich and big data Three generations, two languages, one family Li 1994 Exploring ELF: Academic English shaped by non-native speakers Mauranen 2012 The handbook of language variation and change Milroy 549 2004 10.1002/9780470756591.ch22 Social networks Sociolinguistic patterns in British English Milroy 19 1978 Belfast: Change and variation in an urban vernacular 10.1017/S0022226700010306 Is the sample good enough? Comparing data from Twitter’s streaming API with Twitter’s firehose Morstatter 2013 10.2307/455675 10.1076/1382-5577(200012)4:3;1-S;FT253 10.1017/S0954394510000207 10.1017/CBO9780511792519.023 10.1515/9783110220261.605 Advances in English historical linguistics Raumolin-Brunberg 361 1998 Social factors and pronominal change in the seventeenth century: The Civil-War effect? Language and letters of the Bluestocking network: Sociolinguistic issues in eighteenth-century epistolary English Sairio 2009 Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014) Scheffler 2284 2014 A German Twitter snapshot