Automated Credibility Assessment on Twitter

Krzysztof Lorek; Jacek Suehiro-Wiciński; Michał Jankowski-Lorek; Amit Gupta

doi:10.7494/csci.2015.16.2.157

Authors

Krzysztof Lorek Polish-Japanese Academy of Information Technology, Warsaw
Jacek Suehiro-Wiciński Polish-Japanese Academy of Information Technology, Warsaw
Michał Jankowski-Lorek Polish-Japanese Academy of Information Technology, Warsaw
Amit Gupta École Polytechnique Fédérale de Lausanne

DOI:

https://doi.org/10.7494/csci.2015.16.2.157

Keywords:

Twitter, credibility, Machine Learning Algorithms

Abstract

n this paper, we make a practical approach to automated credibility assessment on Twitter. We describe the process behind the design of an automated classifier for information credibility assessment. As an addition, we propose practical implementation of TwitterBOT, a tool which is able to score submitted tweets while working in the native Twitter interface.

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