The Boundaries of Context: Contextual Knowledge in Research on Networked Discussions

Author:

Bodrunova Svetlana S.ORCID

Publisher

Springer International Publishing

Reference49 articles.

1. Strasser, B.J.: Data-driven sciences: from wonder cabinets to electronic databases. Stud. Hist. Philos. Sci. Part C Stud. Hist. Philos. Biol. Biomed. Sci. 43(1), 85–87 (2012)

2. Fan, W., Huai, J.P.: Querying big data: bridging theory and practice. J. Comput. Sci. Technol. 29(5), 849–869 (2014)

3. Bruns, A., Burgess, J.: Researching news discussion on Twitter: new methodologies. J. Stud. 13(5–6), 801–814 (2012)

4. Bodrunova, S.S.: When context matters. Analyzing conflicts with the use of big textual corpora from Russian and international social media. Partecipazione e conflitto 11(2), 497–510 (2018)

5. Boyd, D., Crawford, K.: Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf. Commun. Soc. 15(5), 662–679 (2012)

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