Print Email Facebook Twitter Toxicity Detection in Multiplayer Online Games Title Toxicity Detection in Multiplayer Online Games Author Märtens, M. (TU Delft Network Architectures and Services) Shen, S. (Parallel and Distributed Processing Laboratory) Iosup, A. (TU Delft Data-Intensive Systems) Kuipers, F.A. (TU Delft Network Architectures and Services) Date 2015 Abstract Social interactions in multiplayer online games are an essential feature for a growing number of players world-wide. However, this interaction between the players might lead to the emergence of undesired and unintended behavior, particularly if the game is designed to be highly competitive. Communication channels might be abused to harass and verbally assault other players, which negates the very purpose of entertainment games by creating a toxic player-community. By using a novel natural language processing framework, we detect profanity in chat-logs of a popular Multiplayer Online Battle Arena (MOBA) game and develop a method to classify toxic remarks. We show how toxicity is non-trivially linked to game success. To reference this document use: http://resolver.tudelft.nl/uuid:0511dc09-ed99-47b6-8250-3b3efd0207e3 DOI https://doi.org/10.1109/NetGames.2015.7382991 Publisher IEEE, Zagreb, Croatia ISBN 978-1-5090-0069-2 Source 2015 International Workshop on Network and Systems Support for Games (NetGames) Event 14th International Workshop on Network and Systems Support for Games, 2015-12-03 → Part of collection Institutional Repository Document type conference paper Rights © 2015 M. Märtens, S. Shen, A. Iosup, F.A. Kuipers Files PDF NetGames2015.pdf 669.01 KB Close viewer /islandora/object/uuid:0511dc09-ed99-47b6-8250-3b3efd0207e3/datastream/OBJ/view