Abstract
Automatically extracting actionable knowledge from on-line social media has attracted a growing interest from both academia and the industry. However, little clarity exists in relation to what actionable knowledge is, whether it can be measured and where it is more likely to be found. This paper makes an attempt at answering the above questions by gaining a better understanding of actionable knowledge in Twitter. Copyright © 2012, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
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CITATION STYLE
Ferrario, M. A., Simm, W., Whittle, J., Rayson, P., Terzi, M., & Binner, J. (2012). Understanding actionable knowledge in social media: BBC question time and Twitter, a case study. In ICWSM 2012 - Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (Vol. 6, pp. 455–458). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/icwsm.v6i1.14318
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