Abstract
Digital and computational methods promise to fundamentally change research practices in media and communications studies. However, due to economic and other practical reasons, access to digital data is often restricted. For example, acquiring the necessary skills in developing and applying tools for data collection and analysis is a time-consuming process. Often, researchers have no other choice than using traditional methods for various reasons. Also, their research interests may also not fit a heavily data-driven approach. This chapter discusses some of the obstacles to digitalizing research practices in the field but also makes the argument why new research strategies should be embraced where possible.
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References
Baumann, E., & Scherer, H. (2012). Wider das Ideologische. Plädoyer für den Pragmatismus in der Kombination qualitativer und quantitativer Methoden in der Kommunikationswissenschaft. In W. Loose & A. Scholl (Eds.), Methodenkombinationen in der Kommunikationswissenschaft. Methodologische Herausforderungen und empirische Praxis. Köln: Herbert von Halem Verlag.
Bolter, J. (2019). Digital Plenitude. The Decline of Elite Culture and the Rise of New Media. Cambridge and London: MIT Press.
boyd, d., & Crawford, K. (2012). Critical Questions for Big Data. Information, Communication & Society, 15(5), 662–679.
Bratton, B. (2015). The Stack. Cambridge: MIT Press.
Bruns, A. (2008). Blogs, Wikipedia, Second Life and Beyond. From Production to Produsage. New York: Peter Lang.
Bruns, A. (2017). Gatewatching and News Curation. Journalism, Social Media, and the Public Sphere. New York: Peter Lang.
Bunz, M., & Meikle, G. (2018). The Internet of Things. London: Polity.
Chandler, D. (2015). A World Without Causation: Big Data and the Coming of Age of Posthumanism. Millennium: Journal of International Studies, 43, 833–851.
Congjing, R., Xinlia, L., & Haiying, H. (2017). ‘Visualization Analysis of Shakespeare Based on Big Data’. Conference Proceedings for International Conference on Advances in Big Data Analytics ABDA. Online retrievable at https://csce.ucmss.com/books/LFS/CSREA2017/ABD3216.pdf (accessed 16/03/2020).
Couldry, N., & Mejias, U. A. (2019). The Costs of Connection. How Data is Colonizing Human Life and Appropriating it for Capitalism. Stanford: Stanford University Press.
Dean, J. (2010). Blog Theory. Feedback and Capture in the Circuits of Drive. Cambridge and Malden: Polity Press.
Dill, K. E. (ed) (2013). The Oxford Handbook of Media Psychology. Oxford: Oxford University Press.
Ferra, I. (2019). Digital Media and the Greek Crisis: Cyberconflicts, Discourses and Networks. London: Emerald Publishing.
Giles, D. (2009). Psychology of the Media. London: Palgrave.
Hansen, A., & Machin, D. (2013). Media & Communication Research Methods. London: Palgrave Macmillan.
Haraway, D. (1984). A Cyborg Manifesto. Cambridge: Macat.
Hekman, E. (2018). Public Service Media and Networked Publics on Twitter. A Big Data Approach. Conference paper presented at RIPE@2018, Madrid, Spain.
Jenkins, H. (2006). Convergence Culture. Where Old and New Media Collide. New York: NYU Press.
Jenkins, H., Ito, M., & boyd, d. (Eds.). (2015). Participatory Culture in a Networked Era. A Conversation on Youth, Commerce, and Politics. John Wiley & Sons.
Karatzogianni, A. (2006). The Politics of Cyberconflict. London: Routledge.
Kelleher, J. D., & Tierney, B. (2018). Data Science. Cambridge, MA: MIT.
Kitchin, R. (2014). The Data Revolution. Big Data, Open Data, Data Infrastructure and Their Consequences. London: Sage.
Krippendorff, K. (2019). Content Analysis. An Introduction to Its Methodology (4th ed.). London: Sage.
Loukissas, Y. A. (2019). All Data Are Local. Thinking Critically in a Data-Driven Society. MIT Press.
Lovink, G. (2008). Zero Comments. Blogging and Critical Internet Culture. London: Routledge.
Lovink, G. (2019). Sad by Design. On Platform Nihilism. Amsterdam: Pluto Press.
Manovich, L. (2015). ‘The Science of Culture? Social Computing, Digital Humanities and Cultural Analytics’. Online retrievable via http://manovich.net/content/04-projects/088-cultural-analytics-social-computing/cultural_analytics_article_final.pdf (accessed 16/03/2020).
Manovich, L. (2018). 100 Billion Data Rows per Second. Media Analytics in the Early 21st Century. International Journal of Communication, 12, 473–488.
Masson, E. (2017). Humanistic Data. An Encounter between Epistemic Traditions. In M. T. Schäfer & K. van Es (Eds.), The Datafied Society. Studying Culture Through Data. Amsterdam: Amsterdam University Press.
Mayer-Schönberger, V., & Cukier, K. (2013). Big Data. A Revolution That will Transform How We Live, Work and Think. London: John Murray.
McStay, A. (2018). Emotional AI. The Rise of Empathic Media. London: Sage.
Nguyen, D. (2017). Europe, the Crisis, and the Internet. A Web Sphere Analysis. London: Palgrave Macmillan.
Papacharissi, Z. (2014). Affective Publics. Sentiments, Technology, and Politics. Oxford: Oxford University Press.
Plowright, D. (2011). Using Mixed Methods. Frameworks for an Integrated Methodology. London: Sage.
Rieder, B., Matamoros-Fernández, A., & Coromina, Ò. (2018). From Ranking Algorithms to ‘Ranking Cultures’: Investigating the Modulation of Visibility in YouTube Search Results. Convergence: The International Journal of Research into New Media Technologies, 24(1), 50–68.
Rieder, B., & Röhle, T. (2017). Digital Methods. From Challenges to Bildung. In M. T. Schäfer & K. van Es (Eds.), The Datafied Society: Studying Culture Through Data (pp. 109–124). Amsterdam: Amsterdam University Press.
Rogers, R. (2019). Doing Digital Methods. London: Sage.
Sale, J. E. M., Lohfeld, L. H., & Brazil, K. (2002). ‘Revisiting the Quantitative-Qualitative Debate. Implications for Mixed-Methods Research’, in Quality & Quantity 36, pp. 43–53.
Schäfer, M. T., & van Es, K. (Eds.). (2017). The Datafied Society. Studying Culture through Data. Amsterdam: Amsterdam University Press.
Smyrnaios, N. (2018). The Internet Oligopoly. Bingley: Emerald Publishing.
Srincek, N. (2017). Platform Capitalism. Cambridge and Malden: Polity.
Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research. Integrating Quantitative and Qualitative Approaches in the Social and Behavioural Sciences. London: Sage.
Terfrüchte, L. (2011). Symbolverwendung im Journalismus. Eine empirische Fallstudie zur öffentlich-rechtlichen Berichterstattung. Münster: University of Münster.
Zuboff, S. (2019). The Age of Surveillance Capitalism. The Fight for a Human Future at the New Frontier of Power. New York: Editions Milan.
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Nguyen, D. (2020). Media and Communication Studies in the Age of Digitalization and Datafication: How Practical Factors and Research Interests Determine Methodological Choices. In: Nguyen, D., Dekker, I., Nguyen, S. (eds) Understanding Media and Society in the Age of Digitalisation. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-38577-4_2
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DOI: https://doi.org/10.1007/978-3-030-38577-4_2
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