Understanding Actionable Knowledge in Social Media: BBC Question Time and Twitter, a Case Study

Authors

  • Maria Angela Ferrario Lancaster University
  • Will Simm Lancaster University
  • Jon Whittle Lancaster University
  • Paul Rayson Lancaster University
  • Maria Terzi Lancaster University
  • Jane Binner The University of Sheffield

DOI:

https://doi.org/10.1609/icwsm.v6i1.14318

Keywords:

Actionable Knowledge, Text Classification, Social Media Content Analysis.

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.

ICWSM-2012 Cover

Downloads

Published

2021-08-03

How to Cite

Ferrario, M. A., Simm, W., Whittle, J., Rayson, P., Terzi, M., & Binner, J. (2021). Understanding Actionable Knowledge in Social Media: BBC Question Time and Twitter, a Case Study. Proceedings of the International AAAI Conference on Web and Social Media, 6(1), 455-458. https://doi.org/10.1609/icwsm.v6i1.14318

Issue

Vol. 6 No. 1 (2012): Sixth International AAAI Conference on Weblogs and Social Media

Section

Poster Papers