Abstract
The huge numbers of people using social media makes online social networks an attractive source of data for researchers. But in order for the resultant huge numbers of research publications that involve social media to be credible and trusted, their methodologies, considerations of data handling and sensitivity, analysis, and so forth must be appropriately documented. We believe that one way to improve standards and practices in social media research is to encourage such research to be made reproducible, that is, to have sufficient documentation
and sharing of research to allow others to either replicate or build on research results. Enabling this fundamental part of the scientific method will benefit the entire social media ecosystem, from the researchers who use data, to the people that benefit from the outcomes of research.
and sharing of research to allow others to either replicate or build on research results. Enabling this fundamental part of the scientific method will benefit the entire social media ecosystem, from the researchers who use data, to the people that benefit from the outcomes of research.
Original language | English |
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Title of host publication | Proceedings of the ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 2-7 |
Publication status | Published - 26 May 2015 |
Event | Workshop on Standards and Practices in Large-Scale Social Media Research - Mathematical Institute, University of Oxford, Oxford, United Kingdom Duration: 26 May 2015 → 29 May 2015 |
Workshop
Workshop | Workshop on Standards and Practices in Large-Scale Social Media Research |
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Country/Territory | United Kingdom |
City | Oxford |
Period | 26/05/15 → 29/05/15 |