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Authors: Sara Havzi 1 ; 2 and Davide Taibi 1

Affiliations: 1 Istituto per le Tecnologie Didattiche, Consiglio Nazionale delle Ricerche, 90146 Palermo, Italy ; 2 Faculty of Technical Sciences, University of Novi Sad, Serbia

Keyword(s): Online Toxic Content, Datasets, Artificial Intelligence, Education.

Abstract: The Internet has become an integral part of life, providing numerous benefits to its users. However, due to freedom of speech and lack of control, the Internet is becoming a breeding ground for spreading harmful/toxic content. Since young people are the most active Internet users, protecting them from harmful online content is extremely important. One of the directions within which this could be conducted is educating young people about the consequences of using online toxic language and building powerful artificial intelligence-based tools such as Virtual Learning Companions that could educate youth in recognising online toxic content and upgrading their social media and self-protection competencies. To be able to build such tools, quality online datasets are needed. This paper is a brief overview of 9 selected English language online toxic content datasets published between 2020 and 2022 among 70 we found in the literature that could help educate young people on this topic.

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Paper citation in several formats:
Havzi, S. and Taibi, D. (2023). An Overview of Toxic Content Datasets for Artificial Intelligence Applications to Educate Students Towards a Better Use of Social Media. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-641-5; ISSN 2184-5026, SciTePress, pages 120-127. DOI: 10.5220/0011987100003470

@conference{csedu23,
author={Sara Havzi. and Davide Taibi.},
title={An Overview of Toxic Content Datasets for Artificial Intelligence Applications to Educate Students Towards a Better Use of Social Media},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2023},
pages={120-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011987100003470},
isbn={978-989-758-641-5},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - An Overview of Toxic Content Datasets for Artificial Intelligence Applications to Educate Students Towards a Better Use of Social Media
SN - 978-989-758-641-5
IS - 2184-5026
AU - Havzi, S.
AU - Taibi, D.
PY - 2023
SP - 120
EP - 127
DO - 10.5220/0011987100003470
PB - SciTePress

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