TY - JOUR
T1 - Contagion of Offensive Behavior for Transient Interactions in Online Commenting Platforms
AU - Umar, Prasanna
AU - Squicciarini, Anna
AU - Griffin, Christopher
AU - Wede, Joshua
N1 - Funding Information:
Portions of Dr Squicciarini’s work was supported by the National Science Foundation under [grant 1453080]. Dr Griffin’s work was supported in part by the National Science Foundation under [grant DMS-1814876]. Any opinions, findings, and conclusions or recommendations expressed in this manuscript are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2021 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - Online aggression is an increasingly significant problem in Internet-based communication systems (e.g., commenting platforms) with potentially negative effects on online participation and quality of online discourse. Similar to offline aggression, online aggression has been shown to be contagious and to spread through online platforms as a result of exposure to aggressive content. Among other demographics, young adults report experiencing online aggression at alarming rates. In this paper, we examine the short-term effects of exposure to different levels of online aggressive behavior, and investigate whether it leads to an increase in online aggression among 118 young adults. Using an emulated commenting environment, we found evidence for the contagious nature of aggressive commenting. Even when individuals knew comments were synthetic (and not generated by actual peers), exposure to higher levels of aggressive comments resulted in a statistically significant increase in user aggression. Surprisingly, our results show that anonymity neither increased nor decreased the aggression response, which could indicate a change in user behavior since the advent of Internet 2.0 technologies or qualms related to experimenter-subject anonymity. Consequently, the results in this paper support the hypothesis that even in transient online interactions, young adult participants mimic their peers in an attempt to minimize social stress. Moreover, this mimicking occurs even when the participants know they are participating in an artificial social system.
AB - Online aggression is an increasingly significant problem in Internet-based communication systems (e.g., commenting platforms) with potentially negative effects on online participation and quality of online discourse. Similar to offline aggression, online aggression has been shown to be contagious and to spread through online platforms as a result of exposure to aggressive content. Among other demographics, young adults report experiencing online aggression at alarming rates. In this paper, we examine the short-term effects of exposure to different levels of online aggressive behavior, and investigate whether it leads to an increase in online aggression among 118 young adults. Using an emulated commenting environment, we found evidence for the contagious nature of aggressive commenting. Even when individuals knew comments were synthetic (and not generated by actual peers), exposure to higher levels of aggressive comments resulted in a statistically significant increase in user aggression. Surprisingly, our results show that anonymity neither increased nor decreased the aggression response, which could indicate a change in user behavior since the advent of Internet 2.0 technologies or qualms related to experimenter-subject anonymity. Consequently, the results in this paper support the hypothesis that even in transient online interactions, young adult participants mimic their peers in an attempt to minimize social stress. Moreover, this mimicking occurs even when the participants know they are participating in an artificial social system.
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U2 - 10.1080/10447318.2021.1976541
DO - 10.1080/10447318.2021.1976541
M3 - Article
AN - SCOPUS:85116484221
SN - 1044-7318
VL - 38
SP - 1023
EP - 1036
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
IS - 11
ER -