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المؤلفHasanain, Maram
المؤلفBagdouri, Mossaab
المؤلفElsayed, Tamer
المؤلفOard, Douglas W.
تاريخ الإتاحة2021-07-01T05:48:08Z
تاريخ النشر2016
اسم المنشورAAAI Workshop - Technical Report
المصدرScopus
معرّف المصادر الموحدhttp://hdl.handle.net/10576/20912
الملخصSocial 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).
راعي المشروعThis 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.
اللغةen
الناشرAI Access Foundation
الموضوعClassification (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)
العنوانWhat questions do journalists ask on Twitter?
النوعConference Paper
الصفحات127-134
رقم المجلدWS-16-16 - WS-16-20


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