Читать книгу An Introduction to Text Mining - Gabe Ignatow - Страница 28

 If you were interested in conducting a CDA of a contemporary discourse, what discourse would you study? Where would you find data for your analysis?

 How do researchers choose between collecting data from offline sources, such as in-person interviews, and online sources, such as social media platforms?

 What are the most critical problems with using data from online sources?

 If you already have an idea for a research project, what are likely to be the most critical advantages and disadvantages of using online data for your project?

 What are some ways text mining research be used to benefit science and society?

Developing a Research Proposal

Select a social issue that interests you. How might you analyze how people talk about this issue? Are there differences between people from different communities and backgrounds in terms of how they think about this issue? Where (e.g., offline, online) do people talk about this issue, and how could you collect data from them?

Further Reading

Ayers, E. L. (1999). The pasts and futures of digital history. Retrieved June 17, 2015, from http://www.vcdh.virginia.edu/PastsFutures.html

Bauer, M. W., Bicquelet, A., & Suerdem, A. K. (Eds.), Textual analysis. SAGE benchmarks in social research methods (Vol. 1). Thousand Oaks, CA: Sage.

Krippendorff, K. (2013). Content analysis: An introduction to its methodology. Thousand Oaks, CA: Sage.

Kuckartz, U. (2014). Qualitative text analysis: A guide to methods, practice, and using software. Thousand Oaks, CA: Sage.

Roberts, C. W. (1997). Text analysis for the social sciences: Methods for drawing statistical inferences from texts and transcripts. Mahwah, NJ: Lawrence Erlbaum.