Show simple item record

AuthorHasanain, Maram
AuthorBagdouri, Mossaab
AuthorElsayed, Tamer
AuthorOard, Douglas W.
Available date2021-07-01T05:48:08Z
Publication Date2016
Publication NameAAAI Workshop - Technical Report
ResourceScopus
URIhttp://hdl.handle.net/10576/20912
AbstractSocial media platforms are a major source of information for both the general public and for journalists. Journalists use Twitter and other social media services to gather story ideas, to find eyewitnesses, and for a wide range of other purposes. One way in which journalists use Twitter is to ask questions. This paper reports on an empirical investigation of questions asked by Arab journalists on Twitter. The analysis begins with the development of an ontology of question types, proceeds to human annotation of training and test data, and concludes by reporting the level of accuracy that can be achieved with automated classification techniques. The results show good classifier effectiveness for high prevalence question types, but that obtaining sufficient training data for lower prevalence question types can be challenging. 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org).
SponsorThis work was made possible by NPRP grant# NPRP 6-1377-1-257 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherAI Access Foundation
SubjectClassification (of information)
Social aspects
Automated classification
Empirical investigation
General publics
Human annotations
Question type
Social media platforms
Social media services
Training data
Social networking (online)
TitleWhat questions do journalists ask on Twitter?
TypeConference Paper
Pagination127-134
Volume NumberWS-16-16 - WS-16-20
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record