Abstract
Bullying is a social phenomenon that is highly prevalent within the school population. To study this phenomenon, social scientists traditionally use questionnaires that are costly to administer and that cannot provide detailed information about children’s interactions without causing a large amount of fatigue to the participants. An on-line computer game has been developed to aid social scientists in observing, in a non-intrusive way, children’s behaviors and roles within their peer group. Participants solve a collaborative and an adversarial task, and are allowed to communicate only through a chat system. Observable data from the game, such as the amount of messages sent and received and points transactions, correlates well with questionnaire data while providing more detailed information about participants’ interactions. The online game is a new tool that alleviates the cost of obtaining data and considerably reduces the fatigue of the participants while providing sound results.
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References
Bernstein, M., Tan, D., Smith, G., Czerwinski, M.: Collabio: A Game for Annotating People within Social Networks. In: Proceedings of ACM UIST (2009)
Espelage, D., Holt, M.: Bullying and victimization during early adolescence: Peer influences and psychosocial correlates. Journal of Emotional Abuse 2, 123–142 (2001)
Espelage, D., Mebane, S., Adams, R.: Empathy, caring, and bullying: Toward an understanding of complex associations. In: Espelage, D., Swearer, S. (eds.) Bullying in American Schools: A Social-Ecological Perspective on Prevention and Intervention, pp. 37–61 (2004)
Lieberman, H., Dinakar, K., Jones, B.: Let’s Gang Up on Cyberbullying. Computer 44(9), 93–96 (2011)
Mancilla-Caceres, J.F., Amir, E.: Evaluating commonsense knowledge with a computer game. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011, Part I. LNCS, vol. 6946, pp. 348–355. Springer, Heidelberg (2011)
Mayberry, M.L., Espelage, D.L., Koenig, B.: Multilevel modeling of direct effects and interactions of peers, parents, school, and community influences on adolescent substance use. Journal of Youth Adolescence 38, 1038–1049 (2009)
Ptaszynski, M., Dybala, P., Matsuba, T., Masui, F., Rzepka, R., Araki, K., Momouchi, Y.: In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis. International Journal of Computational Linguistics Research 1(3), 135–154 (2010)
von Ahn, L., Dabbish, L.: Labeling Images with a Computer Game. In: CHI 2004: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 319–326 (2004)
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Mancilla-Caceres, J.F., Pu, W., Amir, E., Espelage, D. (2012). A Computer-in-the-Loop Approach for Detecting Bullies in the Classroom. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds) Social Computing, Behavioral - Cultural Modeling and Prediction. SBP 2012. Lecture Notes in Computer Science, vol 7227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29047-3_17
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DOI: https://doi.org/10.1007/978-3-642-29047-3_17
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