Bastian Kordyaka
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Abstract
Toxic behavior remains a salient challenge for online gaming environments, such as multiplayer online battle arena video games (MOBAs). In this study, we sought to understand player roles and settings in which toxicity occurs using a mixed-methods approach. First, we conducted ethnographic observations and interviews with players of the most popular contemporary MOBA, League of Legends (Study 1). During the qualitative analysis three main themes emerged: (1) the fluidity of roles, (2) the subjectivity of the toxic experience, and (3) cascading effects and changing modalities of toxicity. Based on the themes, we formulated hypotheses regarding players’ experience with toxicity. To test these hypotheses, we gathered cross-sectional data from MOBA players (n = 216), which we analyzed with co-variance-based statistics (Study 2). Our quantitative findings showcase the complexity of toxicity as well as players’ ambivalence toward the topic. We found indicators of substantial influences of personality and a cycle of retaliation toxicity spread as victims retaliated against the perpetrator.
- Aida Abdullah and Sabitha Marican. 2016. The effects of big-five personality traits on deviant behavior. Procedia-Social and Behavioral Sciences, 219 (2016), 19–25. https://doi.org/10.1016/j.sbspro.2016.04.027
Google Scholar
Cross Ref
- Sonam Adinolf and Selen Turkay. 2018. Toxic Behaviors in Esports Games: Player Perceptions and Coping Strategies. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts - CHI PLAY ’18 Extended Abstracts. ACM Press, Melbourne, VIC, Australia. 365–372. isbn:978-1-4503-5968-9 https://doi.org/10.1145/3270316.3271545
Google ScholarDigital Library
- Swati Aggarwal, Shivin Saluja, Varshika Gambhir, Shubhi Gupta, and Simrat Pal Singh Satia. 2020. Predicting likelihood of psychological disorders in PlayerUnknown’s Battlegrounds (PUBG) players from Asian countries using supervised machine learning. Addictive behaviors, 101 (2020), 106132. https://doi.org/10.1016/j.addbeh.2019.106132
Google ScholarCross Ref
- Holly Arrow, Joseph E. McGrath, and Jennifer L. Berdahl. 2000. Small groups as complex systems: Formation, coordination, development, and adaptation. Sage Publications, Newbury Park, CA. isbn:1-4522-3850-2 https://doi.org/10.4135/9781452204666
Google ScholarCross Ref
- Hernan Badenes, Mateo N. Bengualid, Jilin Chen, Liang Gou, Eben Haber, Jalal Mahmud, Jeffrey W. Nichols, Aditya Pal, Jerald Schoudt, and Barton A. Smith. 2014. System U: automatically deriving personality traits from social media for people recommendation. In Proceedings of the 8th ACM Conference on Recommender Systems. ACM, Silicon Valley, CA. 373–374. https://doi.org/10.1145/2645710.2645719
Google ScholarDigital Library
- Shuotian Bai, Bibo Hao, Ang Li, Sha Yuan, Rui Gao, and Tingshao Zhu. 2013. Predicting big five personality traits of microblog users. In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). 1, IEEE, Atlanta, GA. 501–508. isbn:0-7695-5145-9 https://doi.org/10.1109/WI-IAT.2013.70
Google ScholarDigital Library
- Vimala Balakrishnan. 2018. Actions, emotional reactions and cyberbullying–From the lens of bullies, victims, bully-victims and bystanders among Malaysian young adults. Telematics and Informatics, 35, 5 (2018), 1190–1200. https://doi.org/10.1016/j.tele.2018.02.002
Google ScholarCross Ref
- Vimala Balakrishnan, Shahzaib Khan, Terence Fernandez, and Hamid R. Arabnia. 2019. Cyberbullying detection on twitter using Big Five and Dark Triad features. Personality and Individual Differences, 141 (2019), April, 252–257. issn:0191-8869 https://doi.org/10.1016/j.paid.2019.01.024
Google ScholarCross Ref
- Anna Costanza Baldry, David P. Farrington, and Anna Sorrentino. 2017. School bullying and cyberbullying among boys and girls: Roles and overlap. Journal of Aggression, Maltreatment & Trauma, 26, 9 (2017), 937–951. https://doi.org/10.1080/10926771.2017.1330793
Google ScholarCross Ref
- Christopher P. Barlett. 2017. From theory to practice: Cyberbullying theory and its application to intervention. Computers in Human Behavior, 72 (2017), 269–275. https://doi.org/10.1016/j.chb.2017.02.060
Google ScholarDigital Library
- Christopher P. Barlett, Douglas A. Gentile, and Chelsea Chew. 2016. Predicting cyberbullying from anonymity.. Psychology of Popular Media Culture, 5, 2 (2016), 171. https://doi.org/10.1037/ppm0000055
Google ScholarCross Ref
- Murray R. Barrick and Michael K. Mount. 1991. The big five personality dimensions and job performance: a meta‐analysis. Personnel psychology, 44, 1 (1991), 1–26. https://doi.org/10.1111/j.1744-6570.1991.tb00688.x
Google ScholarCross Ref
- Sara Bastiaensens, Sara Pabian, Heidi Vandebosch, Karolien Poels, Katrien Van Cleemput, Ann DeSmet, and Ilse De Bourdeaudhuij. 2016. From Normative Influence to Social Pressure: How Relevant Others Affect Whether Bystanders Join in Cyberbullying: Normative Influence on Cyberbullying Bystanders. Social Development, 25, 1 (2016), Feb., 193–211. issn:0961205X https://doi.org/10.1111/sode.12134
Google ScholarCross Ref
- Nicole A Beres, Julian Frommel, Elizabeth Reid, Regan L Mandryk, and Madison Klarkowski. 2021. Don’t You Know That You’re Toxic: Normalization of Toxicity in Online Gaming. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Computing Machinery, New York, NY, USA. Article 438, 15 pages. isbn:9781450380966 https://doi.org/10.1145/3411764.3445157
Google ScholarDigital Library
- Arpita Bhattacharya, Travis W. Windleharth, Rio Anthony Ishii, Ivy M. Acevedo, Cecilia R. Aragon, Julie A. Kientz, Jason C. Yip, and Jin Ha Lee. 2019. Group Interactions in Location-Based Gaming: A Case Study of Raiding in Pokémon GO. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA. 1–12. isbn:9781450359702 https://doi.org/10.1145/3290605.3300817
Google ScholarDigital Library
- Marilyn Campbell and Sheri Bauman. 2018. Reducing cyberbullying in schools: International evidence-based best practices. Academic Press, London, UK. isbn:0-12-811424-X
Google Scholar
- Christine Cook, Juliette Schaafsma, and Marjolijn Antheunis. 2018. Under the bridge: An in-depth examination of online trolling in the gaming context. New Media & Society, 20, 9 (2018), 3323–3340. https://doi.org/10.1177/1461444817748578
Google ScholarCross Ref
- Lea C. de Hesselle, Dmitri Rozgonjuk, Cornelia Sindermann, Halley M. Pontes, and Christian Montag. 2021. The associations between Big Five personality traits, gaming motives, and self-reported time spent gaming. Personality and Individual Differences, 171 (2021), 110483. https://doi.org/10.1016/j.paid.2020.110483
Google ScholarCross Ref
- Ann DeSmet, Charlene Veldeman, Karolien Poels, Sara Bastiaensens, Katrien Van Cleemput, Heidi Vandebosch, and Ilse De Bourdeaudhuij. 2014. Determinants of self-reported bystander behavior in cyberbullying incidents amongst adolescents. Cyberpsychology, Behavior, and Social Networking, 17, 4 (2014), 207–215. https://doi.org/10.1089/cyber.2013.0027
Google ScholarCross Ref
- Ashley N. Doane, Matthew R. Pearson, and Michelle L. Kelley. 2014. Predictors of cyberbullying perpetration among college students: An application of the Theory of Reasoned Action. Computers in Human Behavior, 36 (2014), July, 154–162. issn:0747-5632 https://doi.org/10.1016/j.chb.2014.03.051
Google ScholarDigital Library
- Scott Donaldson. 2017. Mechanics and metagame: Exploring binary expertise in League of Legends. Games and Culture, 12, 5 (2017), 426–444. https://doi.org/10.1177/1555412015590063
Google ScholarCross Ref
- Heather Douglas, Miles Bore, and Don Munro. 2012. Distinguishing the dark triad: Evidence from the five-factor model and the Hogan development survey. Psychology, 3, 03 (2012), 237. https://doi.org/10.4236/psych.2012.33033
Google ScholarCross Ref
- Carolyn Ellis, Tony E Adams, and Arthur P Bochner. 2011. Autoethnography: an overview. Historical social research/Historische sozialforschung, 36, (4 (138) (2011), 273–290.
Google Scholar
- Erik H. Erikson and Joan M. Erikson. 1998. The life cycle completed (extended version). WW Norton & Company, New York City, NYC. isbn:0-393-34743-5
Google Scholar
- Raquel Escortell, David Aparisi, María Carmen Martínez-Monteagudo, and Beatriz Delgado. 2020. Personality traits and aggression as explanatory variables of cyberbullying in Spanish preadolescents. International journal of environmental research and public health, 17, 16 (2020), 5705. https://doi.org/10.3390/ijerph17165705
Google ScholarCross Ref
- Hildegunn Fandrem, Dagmar Strohmeier, and Erling Roland. 2009. Bullying and victimization among native and immigrant adolescents in Norway: The role of proactive and reactive aggressiveness. The Journal of Early Adolescence, 29, 6 (2009), 898–923. https://doi.org/10.1177/0272431609332935
Google ScholarCross Ref
- Alessia Maria Gervasi, Luana La Marca, Antonino Costanzo, Ugo Pace, Fanny Guglielmucci, and Adriano Schimmenti. 2017. Personality and internet gaming disorder: A systematic review of recent literature. Current Addiction Reports, 4, 3 (2017), 293–307. https://doi.org/10.1007/s40429-017-0159-6
Google ScholarCross Ref
- Gianluca Gini, Paolo Albiero, Beatrice Benelli, and Gianmarco Altoe. 2007. Does empathy predict adolescents’ bullying and defending behavior? Aggressive Behavior: Official Journal of the International Society for Research on Aggression, 33, 5 (2007), 467–476. https://doi.org/10.1002/ab.20204
Google ScholarCross Ref
- Amy L. Gower and Iris W. Borowsky. 2013. Associations between frequency of bullying involvement and adjustment in adolescence. Academic Pediatrics, 13, 3 (2013), 214–221. https://doi.org/10.1016/j.acap.2013.02.004
Google ScholarCross Ref
- Juho Hamari, Jonna Koivisto, and Harri Sarsa. 2014. Does Gamification Work? – A Literature Review of Empirical Studies on Gamification. In 2014 47th Hawaii International Conference on System Sciences. IEEE, Waikoloa, HI. 3025–3034. isbn:978-1-4799-2504-9 https://doi.org/10.1109/HICSS.2014.377
Google ScholarDigital Library
- Juho Hamari and Vili Lehdonvirta. 2010. Game design as marketing: How game mechanics create demand for virtual goods. International Journal of Business Science & Applied Management, 5, 1 (2010), 14–29.
Google Scholar
- Juho Hamari and Max Sjöblom. 2017. What is eSports and why do people watch it? Internet Research, 27, 2 (2017), April, 211–232. issn:1066-2243 https://doi.org/10.1108/IntR-04-2016-0085
Google ScholarCross Ref
- Natalie Hayes and Stephen Joseph. 2003. Big 5 correlates of three measures of subjective well-being. Personality and Individual differences, 34, 4 (2003), 723–727. https://doi.org/10.1016/S0191-8869(02)00057-0
Google ScholarCross Ref
- Li-tze Hu and Peter M Bentler. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6, 1 (1999), 1–55.
Google Scholar
- Kai Huotari and Juho Hamari. 2017. A definition for gamification: anchoring gamification in the service marketing literature. Electronic Markets, 27, 1 (2017), 21–31. https://doi.org/10.1007/s12525-015-0212-z
Google ScholarCross Ref
- Glena H. Iten, Julia Ayumi Bopp, Clemens Steiner, Klaus Opwis, and Elisa D. Mekler. 2018. Does a prosocial decision in video games lead to increased prosocial real-life behavior? The impact of reward and reasoning. Computers in Human Behavior, 89 (2018), 163–172. https://doi.org/10.1016/j.chb.2018.07.031
Google ScholarDigital Library
- Heather Jia, Ronnie Jia, and Steven Karau. 2013. Cyberloafing and personality: The impact of the Big Five traits and workplace situational factors. Journal of Leadership & Organizational Studies, 20, 3 (2013), 358–365. https://doi.org/10.1177/1548051813488208
Google ScholarCross Ref
- Oliver P. John, Eileen M. Donahue, and Robert L. Kentle. 1991. Big five inventory. Journal of Personality and Social Psychology, https://doi.org/10.1037/t07550-000
Google ScholarCross Ref
- Daniel Johnson and John Gardner. 2010. Personality, motivation and video games. In Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction - OZCHI ’10. ACM Press, Brisbane, Australia. 276. isbn:978-1-4503-0502-0 https://doi.org/10.1145/1952222.1952281
Google ScholarDigital Library
- Daniel Johnson, Lennart E. Nacke, and Peta Wyeth. 2015. All about That Base: Differing Player Experiences in Video Game Genres and the Unique Case of MOBA Games. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15). Association for Computing Machinery, New York, NY, USA. 2265–2274. isbn:9781450331456 https://doi.org/10.1145/2702123.2702447
Google ScholarDigital Library
- Darrick Jolliffe and David P. Farrington. 2006. Examining the relationship between low empathy and bullying. Aggressive Behavior: Official Journal of the International Society for Research on Aggression, 32, 6 (2006), 540–550. https://doi.org/10.1002/ab.20154
Google ScholarCross Ref
- Eyong B. Kim and Marc J. Schniederjans. 2004. The role of personality in web-based distance education courses. Commun. ACM, 47, 3 (2004), 95–98. https://doi.org/10.1145/971617.971622
Google ScholarDigital Library
- Rex B Kline. 2023. Principles and practice of structural equation modeling. Guilford publications, New York City, NYC.
Google Scholar
- Constantinos M. Kokkinos and Nafsika Antoniadou. 2019. Cyber-bullying and cyber-victimization among undergraduate student teachers through the lens of the General Aggression Model. Computers in Human Behavior, 98 (2019), 59–68. https://doi.org/10.1016/j.chb.2019.04.007
Google ScholarDigital Library
- Bastian Kordyaka and Sidney Hribersek. 2019. Crafting Identity in League of Legends – Purchases as a Tool to Achieve Desired Impressions. In Proceedings of the 52th Hawaii International Conference on System Sciences 2019. (2019), 10.. Computer Society Press, Maui, HI. 10. https://doi.org/10.24251/HICSS.2019.182
Google ScholarCross Ref
- Bastian Kordyaka, Katharina Jahn, and Bjoern Niehaves. 2020. Towards a unified theory of toxic behavior in video games. Internet Research, 30, 4 (2020), June, 1081–1102. issn:1066-2243 https://doi.org/10.1108/INTR-08-2019-0343
Google ScholarCross Ref
- Bastian Kordyaka, Michael Klesel, and Jahn. 2019. Perpetrators in League of Legends: Scale Development and Validation of Toxic Behavior. In Proceedings of the 52th Hawaii International Conference on System Sciences 2019.. Computer Society Press, Maui, HI. 10. https://doi.org/10.24251/HICSS.2019.299
Google ScholarCross Ref
- Bastian Kordyaka, Björn Kruse, and Björn Niehaves. 2023. Brands in eSports–generational cohorts, value congruence and media engagement as antecedents of brand sustainability. Journal of Media Business Studies, online (2023), 1–21. https://doi.org/10.1080/16522354.2023.2225298
Google ScholarCross Ref
- Bastian Kordyaka, Samuli Laato, Juho Hamari, Tobias Scholz, and Björn Niehaves. 2023. What drives gamer toxicity? Essays from players. In GamiFIN Conference 2023: Proceedings of the 7th International GamiFIN Conference. CEUR Workshop Proceedings, Lapland, Finland. 86–95.
Google Scholar
- Bastian Kordyaka, Solip Park, Jeanine Krath, and Samuli Laato. 2023. Exploring the Relationship Between Offline Cultural Environments and Toxic Behavior Tendencies in Multiplayer Online Games. Trans. Soc. Comput., 6, 1–2 (2023), Article 3, jun, 20 pages. issn:2469-7818 https://doi.org/10.1145/3580346
Google ScholarDigital Library
- Yubo Kou. 2020. Toxic Behaviors in Team-Based Competitive Gaming: The Case of League of Legends. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ’20). Association for Computing Machinery, New York, NY, USA. 81–92. isbn:9781450380744 https://doi.org/10.1145/3410404.3414243
Google ScholarDigital Library
- Yubo Kou and Xinning Gui. 2021. Flag and Flaggability in Automated Moderation: The Case of Reporting Toxic Behavior in an Online Game Community. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Mathura, U.P., India. 1–12. https://doi.org/10.1145/3411764.3445279
Google ScholarDigital Library
- Yubo Kou and Bonnie Nardi. 2013. Regulating anti-social behavior on the Internet: The example of League of Legends. In Proceedings of the 2013 IConference. iSchools, Fort Worth, TX. 616–622.
Google Scholar
- Rachel Kowert. 2020. Dark participation in games. Frontiers in Psychology, 11 (2020), 2969.
Google ScholarCross Ref
- Haewoon Kwak, Jeremy Blackburn, and Seungyeop Han. 2015. Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15). Association for Computing Machinery, New York, NY, USA. 3739–3748. isbn:9781450331456 https://doi.org/10.1145/2702123.2702529
Google ScholarDigital Library
- Kağan Kırcaburun and Şule Betül Tosuntaş. 2018. Cyberbullying perpetration among undergraduates: Evidence of the roles of chronotype and sleep quality. Biological rhythm research, 49, 2 (2018), 247–265. https://doi.org/10.1080/02723646.2017.1352918
Google ScholarCross Ref
- Samuli Laato, Bastian Kordyaka, AKM Najmul Islam, and Konstantinos Papangelis. 2021. Landlords of the Digital World: How Territoriality and Social Identity Predict Playing Intensity in Location-based Games.. In Proceedings of the 54th Hawaii International Conference on System Sciences 2021.. Computer Society Press, Maui, HI. 1–10. https://doi.org/10.24251/HICSS.2021.091
Google ScholarCross Ref
- Samuli Laato, Bastian Kordyaka, AKM Najmul Islam, Konstantinos Papangelis, and Juho Hamari. 2022. Territorial or nomadic? Geo-social determinants of location-based IT use: a study in Pokemon GO. Internet Research, 32, 7 (2022), 330–353. https://doi.org/10.1108/INTR-11-2021-0863
Google ScholarCross Ref
- Noam Lapidot-Lefler and Azy Barak. 2012. Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition. Computers in Human Behavior, 28, 2 (2012), March, 434–443. issn:07475632 https://doi.org/10.1016/j.chb.2011.10.014
Google ScholarDigital Library
- Yansheng Liu and Colin Agur. 2022. “After All, They Don’t Know Me” Exploring the Psychological Mechanisms of Toxic Behavior in Online Games. Games and Culture, 18, 5 (2022), 598–621. https://doi.org/10.1177/15554120221115397
Google ScholarCross Ref
- Yansheng Liu and Colin Agur. 2023. “After all, they don’t know me” exploring the psychological mechanisms of toxic behavior in online games. Games and Culture, 18, 5 (2023), 598–621.
Google ScholarCross Ref
- Paul Benjamin Lowry, Gregory D. Moody, and Sutirtha Chatterjee. 2017. Using IT Design to Prevent Cyberbullying. Journal of Management Information Systems, 34, 3 (2017), July, 863–901. issn:07421222 https://doi.org/10.1080/07421222.2017.1373012
Google ScholarCross Ref
- Regan L. Mandryk and M. Stella Atkins. 2007. A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies. International journal of human-computer studies, 65, 4 (2007), 329–347. https://doi.org/10.1016/j.ijhcs.2006.11.011
Google ScholarDigital Library
- Regan L. Mandryk and Kori M. Inkpen. 2004. Physiological Indicators for the Evaluation of Co-Located Collaborative Play. In Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work (CSCW ’04). Association for Computing Machinery, New York, NY, USA. 102–111. isbn:1581138105 https://doi.org/10.1145/1031607.1031625
Google ScholarDigital Library
- Regan L. Mandryk, Kori M. Inkpen, and Thomas W. Calvert. 2006. Using psychophysiological techniques to measure user experience with entertainment technologies. Behaviour & information technology, 25, 2 (2006), 141–158. https://doi.org/10.1080/01449290500331156
Google ScholarCross Ref
- Piotr Matuszewski, Paweł Dobrowolski, and Bogdan Zawadzki. 2020. The association between personality traits and esports performance. Frontiers in Psychology, 11 (2020), 1490. https://doi.org/10.3389/fpsyg.2020.01490
Google ScholarCross Ref
- Joseph E. McGrath, Holly Arrow, and Jennifer L. Berdahl. 2014. The study of groups: Past, present, and future. Personality and social psychology review, 4, 1 (2014), 95–105. https://doi.org/10.1207/S15327957PSPR0401_8
Google ScholarCross Ref
- Elisa D. Mekler, Florian Brühlmann, Klaus Opwis, and Alexandre N. Tuch. 2013. Do Points, Levels and Leaderboards Harm Intrinsic Motivation? An Empirical Analysis of Common Gamification Elements. In Proceedings of the First International Conference on Gameful Design, Research, and Applications (Gamification ’13). Association for Computing Machinery, New York, NY, USA. 66–73. isbn:9781450328159 https://doi.org/10.1145/2583008.2583017
Google ScholarDigital Library
- Marçal Mora-Cantallops and Miguel-Ángel Sicilia. 2018. Exploring player experience in ranked League of Legends. Behaviour & Information Technology, 12, 37 (2018), 1–13. https://doi.org/10.1080/0144929X.2018.1492631
Google ScholarCross Ref
- Marcus Märtens, Siqi Shen, Alexandru Iosup, and Fernando Kuipers. 2015. Toxicity detection in multiplayer online games. In 2015 International Workshop on Network and Systems Support for Games (NetGames). IEEE, Zagreb Croatia. 1–6. isbn:1-5090-0068-2 https://doi.org/10.1109/NetGames.2015.7382991
Google ScholarCross Ref
- Joaquim A. M. Neto, Kazuki M. Yokoyama, and Karin Becker. 2017. Studying Toxic Behavior Influence and Player Chat in an Online Video Game. In Proceedings of the International Conference on Web Intelligence (WI ’17). Association for Computing Machinery, New York, NY, USA. 26–33. isbn:9781450349512 https://doi.org/10.1145/3106426.3106452
Google ScholarDigital Library
- Charles E. Notar, Sharon Padgett, and Jessica Roden. 2013. Cyberbullying: A review of the literature.. Universal Journal of Educational Research, 1, 1 (2013), 1–9. https://doi.org/10.13189/ujer.2013.010101
Google ScholarCross Ref
- Dan Olweus. 1994. Bullying at school: basic facts and effects of a school based intervention program. Journal of child psychology and psychiatry, 35, 7 (1994), 1171–1190. https://doi.org/10.1111/j.1469-7610.1994.tb01229.x
Google ScholarCross Ref
- Mehmet Ali Padir, Tuncay Ayas, and Mehmet Baris Horzum. 2021. Examining the Relationship among Internet Parental Style, Personality, and Cyberbullying/Victimization.. International Journal of Technology in Education and Science, 5, 1 (2021), 56–69. https://doi.org/10.46328/ijtes.160
Google ScholarCross Ref
- Nicole Peever, Daniel Johnson, and John Gardner. 2012. Personality & Video Game Genre Preferences. In Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System (IE ’12). Association for Computing Machinery, New York, NY, USA. Article 20, 3 pages. isbn:9781450314107 https://doi.org/10.1145/2336727.2336747
Google ScholarDigital Library
- Rafael Pereira, Carlos Henrique Sancineto da Silva Nunes, and Jeferson Gervasio Pires. 2022. Personality and Coping in League of Legends Pro Players. Avaliação Psicológica, 21, 1 (2022), 25–33.
Google Scholar
- Rafael Pichel, Mairéad Foody, James O’Higgins Norman, Sandra Feijóo, Jesús Varela, and Antonio Rial. 2021. Bullying, cyberbullying and the overlap: What does age have to do with it? Sustainability, 13, 15 (2021), 8527. https://doi.org/10.3390/su13158527
Google ScholarCross Ref
- Amon Rapp. 2022. Time, engagement and video games: How game design elements shape the temporalities of play in massively multiplayer online role‐playing games. Information Systems Journal, 32, 1 (2022), 5–32. https://doi.org/10.1111/isj.12328
Google ScholarCross Ref
- Elizabeth Reid, Regan L. Mandryk, Nicole A. Beres, Madison Klarkowski, and Julian Frommel. 2022. Feeling good and in control: In-game tools to support targets of toxicity. Proceedings of the ACM on Human-Computer Interaction, 6, CHI PLAY (2022), 1–27. https://doi.org/10.1145/3549498
Google ScholarDigital Library
- Michael K. Reiter and Aviel D. Rubin. 1998. Crowds: Anonymity for web transactions. ACM Transactions on Information and System Security (TISSEC), 1, 1 (1998), 66–92. https://doi.org/10.1145/290163.290168
Google ScholarDigital Library
- Kevin C. Runions and Michal Bak. 2015. Online Moral Disengagement, Cyberbullying, and Cyber-Aggression. Cyberpsychology, Behavior, and Social Networking, 18, 7 (2015), July, 400–405. issn:2152-2715, 2152-2723 https://doi.org/10.1089/cyber.2014.0670
Google ScholarCross Ref
- Joni Salminen, Sercan Sengün, Juan Corporan, Soon-gyo Jung, and Bernard J. Jansen. 2020. Topic-driven toxicity: Exploring the relationship between online toxicity and news topics. PloS one, 15, 2 (2020), e0228723. https://doi.org/10.1371/journal.pone.0228723
Google ScholarCross Ref
- Karin Schermelleh-Engel, Helfried Moosbrugger, and Hans Müller. 2003. Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of psychological research online, 8, 2 (2003), 23–74.
Google Scholar
- Christopher J. Soto and Oliver P. John. 2017. The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power.. Journal of personality and social psychology, 113, 1 (2017), 117. https://doi.org/10.1037/pspp0000096
Google ScholarCross Ref
- Christopher J Soto and Oliver P John. 2017. Short and extra-short forms of the Big Five Inventory–2: The BFI-2-S and BFI-2-XS. Journal of Research in Personality, 68 (2017), 69–81. https://doi.org/10.1016/j.jrp.2017.02.004
Google ScholarCross Ref
- John Suler. 2004. The online disinhibition effect. CyberPsychology & Behavior, 7, 3 (2004), 321–326. https://doi.org/10.1089/1094931041291295
Google ScholarCross Ref
- Mitch van Geel, Anouk Goemans, Fatih Toprak, and Paul Vedder. 2017. Which personality traits are related to traditional bullying and cyberbullying? A study with the Big Five, Dark Triad and sadism. Personality and individual differences, 106 (2017), 231–235. https://doi.org/10.1016/j.paid.2016.10.063
Google ScholarCross Ref
- Heidi Vandebosch and Katrien Van Cleemput. 2009. Cyberbullying among youngsters: Profiles of bullies and victims. New media & Society, 11, 8 (2009), 1349–1371. https://doi.org/10.1177/1461444809341263
Google ScholarCross Ref
- Viswanath Venkatesh, Susan A. Brown, and Hillol Bala. 2013. Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly (MISQ), 37, 1 (2013), 21–54. https://doi.org/10.25300/MISQ/2013/37.1.02
Google ScholarCross Ref
- Viswanath Venkatesh, Tracy Ann Sykes, and Xiaojun Zhang. 2020. Ict for Development in Rural India: A Longitudinal Study of Women’s Health Outcomes. MIS Quarterly, 44, 2 (2020), June, 605–629. issn:02767783 https://doi.org/10.25300/MISQ/2020/12342
Google ScholarCross Ref
- Trijntje Völlink, Catherine AW Bolman, Francine Dehue, and Niels CL Jacobs. 2013. Coping with cyberbullying: Differences between victims, bully‐victims and children not involved in bullying. Journal of community & applied social psychology, 23, 1 (2013), 7–24. https://doi.org/10.1002/casp.2142
Google ScholarCross Ref
- Chia-Wen Wang, Patou Masika Musumari, Teeranee Techasrivichien, S. Pilar Suguimoto, Yukiko Tateyama, Chang-Chuan Chan, Masako Ono-Kihara, Masahiro Kihara, and Takeo Nakayama. 2019. Overlap of traditional bullying and cyberbullying and correlates of bullying among Taiwanese adolescents: A cross-sectional study. BMC Public Health, 19, 1756 (2019), 1–14. https://doi.org/10.1186/s12889-019-8116-z
Google ScholarCross Ref
- Zhao Wang, Anna Sapienza, Aron Culotta, and Emilio Ferrara. 2019. Personality and behavior in role-based online games. In Proceedings of the IEEE Conference on Games (CoG). IEEE, London, United Kingdom. 1–8. isbn:1-72811-884-0 https://doi.org/10.1016/j.chb.2014.06.009
Google ScholarDigital Library
- Yuhong Zhou, Weixi Zheng, and Xuemei Gao. 2019. The relationship between the big five and cyberbullying among college students: The mediating effect of moral disengagement. Current Psychology, 38, 5 (2019), 1162–1173. https://doi.org/10.1007/s12144-018-0005-6
Google ScholarCross Ref
- Ágnes Zsila, Reza Shabahang, Mara S. Aruguete, and Gábor Orosz. 2022. Toxic behaviors in online multiplayer games: Prevalence, perception, risk factors of victimization, and psychological consequences. Aggressive Behavior, 48, 3 (2022), 356–364. https://doi.org/10.1002/ab.22023
Google ScholarCross Ref
- Sercan Şengün, Joao M. Santos, Joni Salminen, Soon-gyo Jung, and Bernard J. Jansen. 2022. Do players communicate differently depending on the champion played? Exploring the Proteus effect in League of Legends. Technological Forecasting and Social Change, 177 (2022), 121556. https://doi.org/10.1016/j.techfore.2022.121556
Google ScholarCross Ref
Index Terms
- The Cycle of Toxicity: Exploring Relationships between Personality and Player Roles in Toxic Behavior in Multiplayer Online Battle Arena Games
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