What is it about?
Currently, microblogs such as the well-known social network Twitter are one of the most important sources of information in an era of information overload, restiveness and uncertainty.
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Why is it important?
Developing models to verify information from Twitter has become both a challenging and necessary task.
Perspectives
In this paper, we propose a novel multi-stage credibility analysis framework to identify implausible content in Twitter in order to prevent the proliferation of fake or malicious information. We used Naïve Bayes classifier and it is enhanced by considering the relative importance of the used features to improve the classification accuracy. We examine the classifier with 1000 unique tweets along with 700 account. The result quite motivating with accuracy 90.3%, 86.24% Precision and 98.8% recall.
Mabrook Al-Rakhami
King Saud University
Read the Original
This page is a summary of: A Multistage Credibility Analysis Model for Microblogs, August 2015, ACM (Association for Computing Machinery),
DOI: 10.1145/2808797.2810065.
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