Studying toxic behavior influence and player chat in an online video game

Perpetrators in League of Legends: Scale Development and Validation of Toxic Behavior

“…In line with previous studies, TB can be understood as a mental state of anger and frustration, which harms communication and contributes to spreading bad mood during a game [25]. Moreover, we follow the assumptions of Neto et al [25] and understand TB as a phenomenon in the realm of video gaming, which happens when a player comes across a negative event during a match generating anger and frustration. This in turn leads to a harmed, contaminated, and disseminated toxic communication using pings and text chat.…”

“…Bullying …an intentional behavior harassing, offending, socially excluding someone or negatively affecting someone [9] Repeatedly Cyberbullying …means an aggressive intentional behavior that is carried out by a group or an individual, using electronic forms of contact [27] Repeatedly Toxic behavior …an behavior generating anger and frustration in players, harming communication, and contributing to spreading a bad mood [25] Temporary Table 1.…”

“…They also conclude that experienced players (depending on the total amount of matched played), are more resilient towards encountered TB. Neto et al [25] investigate communication patterns of players during a game and provide empirical evidence that they are directly linked to performance and the level of TB.…”

“…One possible explanation for this circumstance could be that the items of the TB_DM display a harsher wording on an abstract level (e.g., "take away resources" vs. "harassing") leading to a higher salience of social desirability, which might have confounded answers of some of the participants. Compared to this, the TB_Q rather uses specific descriptions of TB, which might be easier to answer and thus reducing potential confounds [25]. Another explanation for this finding might be the amount of preliminary work that guided the development of both instruments.…”

Dark Participation in Games

“…26)." From this collection of work, only eight pieces of scholarly work (seven peer-reviewed articles, one dissertation, and one book chapter) were found identified that had produced a list of different types of dark participation/toxicity in games (i.e., Blackburn and Kwak, 2014;Kwak and Blackburn, 2014;Kwak et al, 2015;Fichman and Sanfilippo, 2016;Neto et al, 2017;Saarinen, 2017;Cook et al, 2018;de Mesquita Neto and Becker, 2018;Komaç and Çagıltay, 2019).…”