Abstract
In this paper we argue that understanding the provenance of social media datasets and their analysis is critical to addressing challenges faced by the social science research community in terms of the reliability and reproducibility of research utilising such data. Based on analysis of existing projects that use social media data, we present a number of research questions for the provenance community, which if addressed would help increase the transparency of the research process, aid reproducibility, and facilitate data reuse in the social sciences.
The work described here was funded by a grant from the United Kingdom’s Economic and Social Research Council Social Media - Developing Understanding, Infrastructure & Engagement (ES/M001628/1).
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Corsar, D., Markovic, M., Edwards, P. (2016). Social Media Data in Research: Provenance Challenges. In: Mattoso, M., Glavic, B. (eds) Provenance and Annotation of Data and Processes. IPAW 2016. Lecture Notes in Computer Science(), vol 9672. Springer, Cham. https://doi.org/10.1007/978-3-319-40593-3_20
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DOI: https://doi.org/10.1007/978-3-319-40593-3_20
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