Credibility Perception for Arab Users
| Autor: | Amal Abdullah AlMansour |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Microblogging
Arabic Computer science business.industry media_common.quotation_subject 05 social sciences 02 engineering and technology computer.software_genre language.human_language Presentation ComputingMethodologies_PATTERNRECOGNITION 020204 information systems Perception Credibility 0202 electrical engineering electronic engineering information engineering language 0501 psychology and cognitive sciences Social media Artificial intelligence business computer 050107 human factors Natural language processing media_common |
| Zdroj: | Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 ISBN: 9783319569901 |
| DOI: | 10.1007/978-3-319-56991-8_80 |
| Popis: | To evaluate credibility of Arabic content in Twitter, a corpus of Arabic microblogging messages was required with its labelled credibility ratings in order to build the credibility model. Since no Arabic dataset existed, we confronted this problem by building a novel human annotated Arabic Twitter corpus that could be used for further research. This paper identifies the collection process and the characteristics of the newly created dataset. It presents basic analysis of submitted credibility rating values and the collected labelers’ data. A number of statistical graphs are exhibited to examine labelers’ traits and its impact on credibility perceptions. Results showed that both: labelers’ data and method of labeling presentation have a slight impact on the perception of credibility. The results presented in this paper covers the first stage from a large project aims at predicting credibility of Arabic Twitter messages in the presence of disagreed judging credibility scores. |
| Databáze: | OpenAIRE |
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