Digital Transformation, Big Data and Research Landscape in Digital Communication

Main Article Content

Imam Syafganti

Abstract

The digitization of communications technology has led to an intense interaction between human and digital-based technology. A large number of digital data traces produced by humans as a result of that activity. Such data is commonly referred to Big Data. The availability of Big Data as a digital data source in turn, opens opportunities for communication scientists to be able to use that data to get the patterns and trends of human activities that have been done through social research. It is necessary to understand the basic concept of the Big Data, using appropriate tools and adequate access to the data, and appropriate research method in order to be able to conduct research by using such digital data. This paper aims to describe the potential of Big Data for the purposes of communication research, the use of appropriate tools, techniques and methods and to identify potential research directions in the digital realm. Some limitations and critical issues related to the research validity, population and sample, as well as ethics in digital media research method were also discussed.

Article Details

How to Cite
Syafganti, I. (2018). Digital Transformation, Big Data and Research Landscape in Digital Communication. Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia, 3(2), 99–106. https://doi.org/10.25008/jkiski.v3i2.220
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References

Abbate, J. (2017). What and where is the Internet? (Re)defining Internet histories. Internet Histories, 1(1–2), 8–14. https://doi.org/10.1080/24701475.2017.1305836

Boyd, D., & Crawford, K. (2012). Critical Questions for Big Data. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878

Burgess, J., & Bruns, A. (2012). (Not) the Twitter election : The dynamics of the # ausvotes conversation in relation to the Australian media ecology. Journalism Practice, 6(3), 1–40. https://doi.org/10.1080/17512786.2012.663610

Burgess, J., Bruns, A., & Hjorth, L. (2013). Emerging Methods for Digital Media Research: An Introduction. Journal of Broadcasting & Electronic Media, 57(1), 1–3. https://doi.org/10.1080/08838151.2012.761706

de Fortuny, E. J., Smedt, T. De, Martens, D., & Daelemans, W. (2012). Media coverage in times of political crisis : Faculty of Applied Economics, 32(0).

Duan, L., & Xiong, Y. (2015). Big data analytics and business analytics. Journal of Management Analytics, 2(1), 1–21. https://doi.org/10.1080/23270012.2015.1020891

Duan, W., Cao, Q., Yu, Y., & Levy, S. (2013). Mining Online User-Generated Content: Using Sentiment Analysis Technique to Study Hotel Service Quality. 2013 46th Hawaii International Conference on System Sciences, 3119–3128. https://doi.org/10.1109/HICSS.2013.400

Edwards, A., Housley, W., Williams, M., Sloan, L., & Williams, M. (2013). Digital social research, social media and the sociological imagination: surrogacy, augmentation and re-orientation. International Journal of Social Research Methodology, 16(3), 245–260. https://doi.org/10.1080/13645579.2013.774185

Eynon, R. (2013). The rise of Big Data: what does it mean for education, technology, and media research? Learning, Media and Technology, 38(3), 237–240. https://doi.org/10.1080/17439884.2013.771783

Feldman, R., & Sanger, J. (2007). The text mining handbook: Advanced approaches in analysing unstructured data (Vol. 1). https://doi.org/10.1017/CBO9781107415324.004

Housley, W., Williams, M., Williams, M., & Edwards, A. (2013). Special issue: Introduction. International Journal of Social Research Methodology, 16(3), 173–175. https://doi.org/10.1080/13645579.2013.774164

Hutchinson, J. (2016). An introduction to digital media research methods: how to research and the implications of new media data. Communication Research and Practice, 2(1), 1–6. https://doi.org/10.1080/22041451.2016.1155307

Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013). Big Data: Issues and Challenges Moving Forward. 2013 46th Hawaii International Conference on System Sciences, 995–1004. https://doi.org/10.1109/HICSS.2013.645

Kaul, V. (2012). The Digital Communications Revolution. Online Journal of Communication and Media Technologies, 2(3), 113–130. Retrieved from http://www.ojcmt.net/articles/23/237.pdf

Lewis, S. C., Zamith, R., & Hermida, A. (2013). Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods. Journal of Broadcasting & Electronic Media, 57(1), 34–52. https://doi.org/10.1080/08838151.2012.761702

Li, N., & Wu, D. D. (2010). Using text mining and sentiment analysis for online forums hotspot detection and forecast. Decision Support Systems, 48(2), 354–368. https://doi.org/10.1016/j.dss.2009.09.003

Liu, B. (2010). Sentiment Analysis and Subjectivity. Handbook of Natural Language Processing, (1), 1–38. https://doi.org/10.1145/1772690.1772756

Mahrt, M., & Scharkow, M. (2013). The Value of Big Data in Digital Media Research. Journal of Broadcasting & Electronic Media, 57(1), 20–33. https://doi.org/10.1080/08838151.2012.761700

Matusitz, J. (2007). The Implications of the Internet for Human Communication. Journal of Information Technology Impact, 7(1), 21–34. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.5597&rep=rep1&type=pdf

Papacharissi, Z., & De Fatima Oliveira, M. (2012). Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt. Journal of Communication, 62(2), 266–282. https://doi.org/10.1111/j.1460-2466.2012.01630.x

Power, D. J. (2014). Using “Big Data” for analytics and decision support. Journal of Decision Systems, 23(2), 222–228. https://doi.org/10.1080/12460125.2014.888848

Tsou, M.-H. (2011). Mapping cyberspace: Tracking the spread of ideas on the internet. In 25th International Cartographic Conference. Paris. Retrieved from http://icaci.org/files/documents/ICC_proceedings/ICC2011/Oral Presentations PDF/D3-Internet, web services and web mapping/CO-354.pdf

Tsou, M.-H. (2015). Research challenges and opportunities in mapping social media and Big Data. Cartography and Geographic Information Science, 42(sup1), 70–74. https://doi.org/10.1080/15230406.2015.1059251

Zhao, J. L., Fan, S., & Hu, D. (2014). Business challenges and research directions of management analytics in the big data era. Journal of Management Analytics, 1(3), 169–174. https://doi.org/10.1080/23270012.2014.968643