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Automatic Classification of Malicious Usage on Twitter

Meen Chul Kim 1 심규승 1 Namgi Han 1 김예은 1 Min Song 1

1연세대학교

Accredited

ABSTRACT

The advent of Web 2.0 and social media is taking a leading role of emerging big data. At the same time, however, informational dysfunction such as infringement of one's rights and violation of social order has been increasing sharply. This study, therefore, aims at defining malicious usage, identifying malicious feature, and devising an automated method for classifying them. In particular, the rule-based experiment reveals statistically significant performance enhancement.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.