講演会のご案内(2018/10/02(Tue)@北海道大学)

下記の通り講演会が開催されますのでご案内いたします.皆様のご参加をお待ちしております.

講演題目

Automatic Cyberbullying Detection:
What we know after 10 years of research?

講師

Associate Prof. Michal Ptaszynski
(北見工業大学 情報システム工学科 准教授)

日時

2018年10月2日(火) 16:30-18:00

場所

北海道大学大学院情報科学研究科棟11階大会議室 (11-17室)
(札幌市北区北14条西9丁目)
Room 11-17
Graduate School of Information Science and Technology Building, Hokkaido University
http://www.ist.hokudai.ac.jp/access/

講演の概要

Contributions of Information Technology (IT) to preservation, support and development of generally perceived public health are numerous. However, most of these contributions addresses physical sphere of public health. The mental or psychological part, although equally important, has been mostly disregarded. Recent decade has brought to light a problem of unethical behaviors in Internet environments, which has been greatly impairing public mental health in adults and, for the most, in younger users and children. It is the problem of cyberbullying (CB), defined as exploitation of open online means of communication, such as Internet forum boards, or Social Networking Services (SNS) to convey harmful and disturbing information about private individuals, often children and students. To help with mitigation of this problem we started the research on Automatic Cyberbullying Detection in 2008, with a motivation to help school teachers and parents engaged in Internet Patrol activities. We started the research as a long term project, in which we aimed to contribute to detecting, preventing, and ultimately solving the problem of cyberbullying. In the presentation I will talk about what we accomplished during the first 10 years of this study, in which we firstly aimed at developing a systematic approach to automatically detect and classify cyberbullying entries, which could help and ease the burden of the Internet Patrol members, and in effect prevent incidents being a tragic outcome of CB. One of the main goals of the project has been to create an Internet Patrol support solution for automatic spotting of cyberbullying entries on the Web and reporting them to appropriate organs. In this part of research we developed a number of methods for the detection of Internet entries related to or directly classifiable as cyberbullying.

世話人

北海道大学大学院情報科学研究科 ジェプカ ラファウ 助教