Exploring the linguistic landscape of geotagged social media content in urban environments

Digital Scholarship in the Humanities

Volumn 34, Issue 2, 2019, Pages 290-309

  Hiippala, Tuomo ^a   Hausmann, Anna ^a   Tenkanen, Henrikki ^a   Toivonen, Tuuli ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85063943896     PISSN: 20557671     EISSN: 2055768X     Source Type: Journal    
DOI: 10.1093/llc/fqy049     Document Type: Article

References (57)

1. Allen, P. T., Fatah, A., and Robison, D. (2018). Urban encounters reloaded: Towards a descriptive account of augmented space. In Jung, T. and tom Dieck, M. C. (eds), Augmented Reality and Virtual Reality: Empowering Human, Place and Business. Cham: Springer, pp. 259-73.
2. Androutsopoulos, J. (2014). Computer-mediated communication and linguistic landscapes. In Holmes, J. and Hazen, K. (eds), Research Methods in Sociolinguistics: A Practical Guide. Oxford: Wiley, pp. 74-90.
3. Androutsopoulos, J. (2015). Networked multilingualism: some language practices on Facebook and their implications. International Journal of Bilingualism, 19(2): 185-205.
4. Artstein, R. and Poesio, M. (2008). Inter-coder agreement for computational linguistics. Computational Linguistics, 34(4): 555-96.
5. Barton, D. (2018). The roles of tagging in the online curation of photographs. Discourse, Context and Media, 22, 39-45.
6. Bateman, J. A., Wildfeuer, J., and Hiippala, T. (2017). Multimodality: Foundations, Research and Analysis - A Problem-Oriented Introduction. Berlin: De Gruyter Mouton.
7. Baym, N. K. (2015). Personal Connections in the Digital Age, 2nd edn. Malden, MA: Polity.
8. Bird, S., Klein, E., and Loper, E. (2009). Natural Language Processing with Python. Sebastopol, CA: O'Reilly.
9. Bojanowski, P., Grave, E., Joulin, A., and Mikolov, T. (2017). Enriching word vectors with subword information. Transactions of the Association for Computational Linguistics, 5: 135-46.
10. Bruyèl-Olmedo, A. and Juan-Garau, M. (2015). Shaping tourist LL: language display and the sociolinguistic background of an international multilingual readership. International Journal of Multilingualism, 12(1): 51-67.
11. Carter, S., Weerkamp, W., and Tsagkias, M. (2013). Microblog language identification: overcoming the limitations of short, unedited and idiomatic text. Language Resources and Evaluation, 47(1): 195-215.
12. Deumert, A. (2014a). Digital superdiversity: a commentary. Discourse, Context & Media, 4-5: 116-20.
13. Deumert, A. (2014b). Sociolinguistics and Mobile Communication. Edinburgh: Edinburgh University Press.
14. Dodge, M. and Kitchin, R. (2005). Code and the transduction of space. Annals of the Association of American Geographers, 95(1): 162-80.
15. Francesconi, S. (2014). Reading Tourism Texts: A Multimodal Analysis. Bristol: Channel View Publications.
16. Gorter, D. (2013). Linguistic landscapes in a multilingual world. Annual Review of Applied Linguistics, 33: 190-212.
17. Gorter, D. and Cenoz, J. (2015). Translanguaging and linguistic landscapes. Linguistic Landscapes, 1(1-2): 54-74.
18. Hausmann, A., Toivonen, T., Slotow, R., Tenkanen, H., Moilanen, A., Heikinheimo, V., and Di Minin, E. (2018). Social media data can be used to understand tourists' preferences for nature-based experiences in protected areas. Conservation Letters, 11(1): e12343.
19. Hochmair, H. H., Juhász, L., and Cvetojevic, S. (2018). Data quality of points of interest in selected mapping and social media platforms. In Kiefer, P., Huang, H., Van de Weghe, N. and Raubal, M. (eds), Progress in Location Based Services 2018. Cham: Springer, pp. 293-313.
20. Hoffman, C. R. and Bublitz, W. (eds) (2017). Pragmatics of Social Media. Berlin and Boston: De Gruyter Mouton.
21. Ivkovic, D. and Lotherington, H. (2009). Multilingualism in cyberspace: conceptualising the virtual linguistic landscape. International Journal of Multilingualism 6(1): 17-36.
22. Jaworski, A. and Thurlow, C. (eds) (2010). Semiotic Landscapes: Language, Image, Space, London and New York: Continuum.
23. Jokela, S. (2014). Tourism and identity politics in the Helsinki churchscape. Tourism Geographies, 16(2): 252-69.
24. Kellerman, A. (2010). Mobile broadband services and the availability of instant access to cyberspace. Environment and Planning A, 42: 2990-3005.
25. Kellerman, A. (2014). The satisfaction of human needs in physical and virtual spaces. The Professional Geographer, 66(4): 538-46.
26. Kellerman, A. (2016). Daily Spatial Mobilities: Physical and Virtual. New York and London: Routledge.
27. Kiss, T. and Strunk, J. (2006). Unsupervised multilingual sentence boundary detection. Computational Linguistics 32(4): 485-525.
28. Kitchin, R. (2013). Big data and human geography: opportunities, challenges and risks. Dialogues in Human Geography, 3(3): 262-7.
29. Laitinen, M., Lundberg, J., Levin, M., and Martins, R. (2018). The Nordic Tweet Stream: A dynamic real-time monitor corpus of big and rich language data. In Mäkelä, E., Tolonen, M. and Tuominen, J. (eds), Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference, Helsinki, Finland, March 79, pp. 349-62.
30. Lee, C. (2016). Multilingual resources and practices in digital communication. In Georgakopoulou, A. and Spilioti, T. (eds), The Routledge Handbook of Language and Digital Communication. New York and London: Routledge, pp. 118-32.
31. Lee, C. (2017). Multilingualism Online. New York and London: Routledge.
32. Lee, C. and Chau, D. (2018). Language as pride, love, and hate: archiving emotions through multilingual Instagram hashtags. Discourse, Context and Media 22, 21-9.
33. Leppänen, S. and Peuronen, S. (2012). Multilingualism and the internet. In Chapelle, C. A. (ed.), The Encyclopedia of Applied Linguistics. Oxford: Wiley-Blackwell.
34. Leppänen, S., Pitkänen-Huhta, A., Nikula, T., Kytölä, S., Törmäkangas, T., Nissinen, K., Kääntä, L., Räisänen, T., Laitinen, M., Pahta, P., Koskela, H., Lähdesmäki, S., and Jousmäki, H. (2011). National survey on the English language in Finland: Uses, meanings and attitudes, Vol. 5 of Studies in Variation, Contacts and Change in English. Helsinki: University of Helsinki.
35. Longley, P. A., Adnan, M., and Lansley, G. (2015). The geotemporal demographics of Twitter usage. Environment and Planning A: Economy and Space, 47(2): 465-84.
36. Lui, M. and Baldwin, T. (2012). langid.py: An off-theshelf language identification tool. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Jeju Island, Korea, July 10. Association for Computational Linguistics, pp. 25-30.
37. Manjavacas, E. (2016). Mapping urban multilingualism through Twitter. Master's thesis, The Free University of Berlin.
38. McKinney, W. (2010). Data structures for statistical computing in Python. In van der Walt, S. and Millman, J. (eds), Proceedings of the 9th Python in Science Conference, Austin, Texas, United States, June 28-July 3, pp. 51-6.
39. Official Statistics of Finland (2018). Accommodation statistics. http://www.stat.fi/til/matk/index.html (accessed 6 July 2018).
40. Paolillo, J. C. (2007). How much multilingualism? Language diversity on the internet. In Danet, B. and Herring, S. C. (eds), The Multilingual Internet: Language, Culture, and Communication Online. Oxford: Oxford University Press, pp. 408-30.
41. Papen, U. (2012). Commercial discourses, gentrification and citizens' protest: The linguistic landscape of Prenzlauer Berg, Berlin. Journal of Sociolinguistics 16(1): 56-80.
42. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, É. (2011). scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12: 2825-30.
43. Pennycook, A. and Otsuji, E. (2014). Metrolingual multitasking and spatial repertoires: 'pizza mo two minutes coming. Journal of Sociolinguistics, 18(2): 161-84.
44. Peukert, H. (2013). Measuring linguistic diversity in urban ecosystems. In Duarte, J. and Gogolin, I. (eds), Linguistic Superdiversity in Urban Areas: Research Approaches. Amsterdam: Benjamins, pp. 75-93.
45. Rehurek, R. and Sojka, P. (2010). Software framework for topic modelling with large corpora. In Proceedings of 7th Language Resources and Evaluation Conference: Workshop on New Challenges for NLP Frameworks, ELRA, pp. 45-50.
46. Röder, M., Both, A., and Hinneburg, A. (2015). Exploring the space of topic coherence measures. In Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM'15), ACM, pp. 399-408.
47. Seargeant, P. and Tagg, C. (eds) (2014). The Language of Social Media. Basingstoke: Palgrave.
48. Soler-Carbonell, J. (2016). Complexity perspectives on linguistic landscapes: a scalar analysis. Linguistic Landscape, 2(1): 1-25.
49. Syrjälä, V. (2017). Naming businesses - in the context of bilingual Finnish cityscapes. In Ainiala, T. and Ö stman, J.-O. (eds), Socio-onomastics: The Pragmatics of Names. Amsterdam: Benjamins, pp. 183-202.
50. Tenkanen, H. (2017). Capturing Time in Space: Dynamic Analysis of Accessibility and Mobility to Support Spatial Planning with Open Data and Tools. PhD thesis, Department of Geosciences and Geography, University of Helsinki. http://urn.fi/URN:ISBN:978-951-51-2935-9.
51. Tenkanen, H., Di Minin, E., Heikinheimo, V., Hausmann, A., Herbst, M., Kajala, L., and Toivonen, T. (2017). Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas. Scientific Reports 7(17615).
52. Villi, M. (2015). "Hey, I'm here right now': Camera phone photographs and mediated presence. Photographies 8(1): 3-22.
53. Zappavigna, M. (2011). Ambient affiliation: A linguistic perspective on Twitter. New Media and Society 13(5): 788-806.
54. Zappavigna, M. (2013). Discourse of Twitter and Social Media: How We Use Language to Create Affiliation on the Web. London: Continuum.
55. Zappavigna, M. (2016). Social media photography: construing subjectivity in Instagram images. Visual Communication, 15(3): 271-92.
56. Zook, M. A. and Graham, M. (2007). Mapping digiplace: Geocoded internet data and the representation of place. Environment and Planning B, 34(3): 466-82.
57. Zubiaga, A., Vicente, I. S., Gamallo, P., Pichel, J. R., Alegria, I., Aranberri, N., Ezeiza, A., and Fresno, V. (2016). TweetLID: a benchmark for tweet language identification. Language Resources and Evaluation, 50(4): 729-766.