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Making social media research reproducible

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hutton_reproducible.pdf (444.7Kb)
Date
26/05/2015
Author
Hutton, Luke
Henderson, Tristan
Keywords
QA75 Electronic computers. Computer science
3rd-DAS
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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.
Citation
Hutton , L & Henderson , T 2015 , Making social media research reproducible . in Proceedings of the ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research . Association for the Advancement of Artificial Intelligence , pp. 2-7 , Workshop on Standards and Practices in Large-Scale Social Media Research , Oxford , United Kingdom , 26/05/15 .
 
workshop
 
Publication
Proceedings of the ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research
Type
Conference item
Rights
Copyright 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. The article is posted here by permission of AAAI for your personal use. Not for redistribution.
Collections
  • Computer Science Research
  • University of St Andrews Research
URL
http://networkdynamics.org/events/icwsm2015_smsp/
http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10629
URI
http://hdl.handle.net/10023/6692

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