[4C3-OS-1a] データサイエンスの普及と自動化(1/2)

[4C3-OS-1a-01] Preventing the Transmission of Slanderous Comments in Online Chat Rooms

〇Masaki Ito¹, Wataru Sunayama¹ (1. The university of Shiga Prefecture)

Keywords:Defamation and vilification prevention, text mining, assist message

In recent years, there have been more and more opportunities for online chatting, and comments that hurt others may be sent intentionally or unintentionally. In many systems, inappropriate words are prepared in advance, and comments containing such words are prevented from being sent. However, this method does not provide a fundamental solution because it cannot change the consciousness of the sender.
Therefore, in this study, we propose a function to prevent the transmission of slanderous comments by displaying a message to the sender of a potentially slanderous comment to encourage awareness and confirmation of the content, as well as a function to estimate and visualize the accumulated damage caused by slander to the user receiving the comment. We also propose a function to estimate and visualize the accumulated damage caused by slanderous comments. We also propose a function to estimate and visualize the accumulated damage caused by slander by the user who receives the comment. These functions will help change the user's awareness when sending a comment. Through experiments, we verified whether the proposed functions can prevent the transmission of slanderous comments.