Workshops on digital communication analysis methods 3500-JIS-WMAC
The course was conceived as a response to the challenges related to the ongoing digitization within contemporary societies, the rapid increase in textual data (especially unstructured), and the development of scientific infrastructure, opening new directions for in-depth text analysis (including corpus research). Its aim is to equip students with modern research instruments for analyzing various forms of digital communication and working with textual data. The emphasis will be placed, on the one hand, on the development of strictly analytical competences, and on the other - on providing an in-depth understanding of the specificity of digital communication. Participants will learn how to (thoughtfully) obtain and use data from SNS [Social Networking Sites] platforms on the example of YouTube. They will learn the theoretical foundations and the most important methodological issues related to corpus research, especially the methods of creating corpora and methods of analyzing digital communication. Participation in the classes will allow the students to broaden their research repertoire with the ability to analyze textual data, which is increasingly sought after on the labor market.
The course will be organized in accordance with the learning-by-doing model. It will include 60 hours of classroom and workshop classes and 30 hours of students' own work. During the classes, we will work with the contents of Polish language communication between YouTube users. We will discuss the following issues: the specificity of digital communication in a comparative perspective, with particular emphasis on SNS platforms; typologies of forms of digital communication; corpus linguistics, corpus building, corpus analysis; other methods of textual data analysis; retrieving content from the internet [web scraping]; the directions of reserach on digital communication.
The course programme results from a collaboration between sociologists, corpus linguists and natural language processing specialists (NLP) and the CLARIN-PL consortium. The classes, in essence interdisciplinary, will be conducted by lecturers representing different disciplines and research perspectives.
Type of course
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Prerequisites (description)
Bibliography
Ahmed, W. (2018). Using Social Media Data for Research: An Overview of Tools. Journal of Communication Technology, 1(1): 77–93.
Caliandro, A., Gandini, A. (2017). Qualitative Research in Digital Environments. A Research Toolkit. New York and London: Routledge.
Collins, L. C. (2019). Corpus Linguistics for Online Communication. New York: Routledge.
Kennedy, H. 2016. Post, Mine, Repeat. London: Palgrave Macmillan UK.
McEnery, T., Hardie, A. (2012). Corpus Linguistics: Method, theory and practice. Cambridge: Cambridge University Press.
Szabó, G., Boykin, O. (2019). Social media data mining and analytics. Hoboken: John Wiley & Sons
Van Dijck, J. (2013). The Culture of Connectivity. A Critical History of Social Media. New York: Oxford University Press.
Wahl-Jorgensen K. (2019). Emotions, Media and Politics. Cambridge, UK: Polity Press.
Zappavigna, M. (2012). Discourse of Twitter and social media. London, New York: Continuum.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: