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Abstract

This chapter approaches, from both a theoretical and practical perspective, the most important principles and conceptual frameworks that can be considered in the application of social media metrics for scientific evaluation. We propose conceptually valid uses for social media metrics in research evaluation. The chapter discusses frameworks and uses of these metrics as well as principles and recommendations for the consideration and application of current (and potentially new) metrics in research evaluation.

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Acknowledgements

The authors would like to thank Ludo Waltman for his critical comments on this chapter. We also acknowledge partial funding from the South African DST-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy ( ), the Centre for Research Quality and Policy Impact Studies (R-Quest; https://www.r-quest.no/) and the KNOWSCIENCE project (funded by the Riksbankens Jubileumsfond ( ), https://www.fek.lu.se/en/research/research-groups/knowscience).

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Wouters, P., Zahedi, Z., Costas, R. (2019). Social Media Metrics for New Research Evaluation. In: Glänzel, W., Moed, H.F., Schmoch, U., Thelwall, M. (eds) Springer Handbook of Science and Technology Indicators. Springer Handbooks. Springer, Cham. https://doi.org/10.1007/978-3-030-02511-3_26

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