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“Lock, Load, n’ Thank the Driver”: The Positive Influence of Prosocial Activity on Language in Online Social Groups

机译:“锁,装载,n”感谢驾驶员“:女性活动对在线社会群体语言的积极影响

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Social-psychological research aims to understand and improve human functioning in a wide variety of contexts. With research showing that trust, joy, and anticipation are among the most influential positive emotions in aspects of online communication, determining the environmental factors that may influence communication and interaction is of significant interest. This research aims to identify the ways prosocial actions influence language within an online social community. Using a longitudinal observational analysis of linguistic markers, an analysis was done on an online community, surrounding the game “Fortnite.” At different time intervals, the written dialogue was analyzed for psycholinguistic markers through LIWC to detect variance in tone within the community. Users were queried (n?=?9,037), filtered to meet the inclusion criteria (n?=?7,221) and having their posts (n?=?1,232,741) assigned to three cohorts, those of pre-prosocial, post-prosocial, and post-reciprocity, depending on the posting date. A statistically significant (R2?=?.572) increase in positive emotion linguistic markers was detected in the data set after the prosocial action was added. A change in motivation did not reduce the use of positive emotion linguistic markers, contrary to what was expected. This research observes how individuals within online communities treat each other and that interaction can be influenced to improve the participant’s experience and the quality of dialogue. This research addresses how game design and human–computer interaction influence human communication and behavior. It supports that small changes to the real world have ripple effects in online communities for the better.
机译:社会心理学研究旨在了解和改善各种背景下的人类功能。随着研究表明,信任,喜悦和预期是在线通信方面最具影响力的积极情绪,确定可能影响沟通和相互作用的环境因素是重大兴趣。本研究旨在识别上对在线社会社区中的语言的方式。利用语言标记的纵向观察分析,在网上社区中进行了分析,周围的游戏“Fortnite”。在不同的时间间隔,通过LIWC分析了书面对话,以检测社区内的语气方差。查询用户(n?=?9,037),过滤以满足纳入标准(n?=Δ7,221)并将其帖子(n?= 1,232,741)分配给三个群组,前论前的前列腺问题,和互惠后,根据发布日期。在加入口语作用后,在数据集中检测到统计学上显着的(R2?=β.572)在数据集中检测到阳性情绪语言标记。动机的变化没有减少积极情绪语言标志的使用,违背了预期的目标。本研究观察在线社区内的个人如何互相对待,并且可以影响互动,以提高参与者的经验和对话的质量。这项研究解决了游戏设计和人机互动如何影响人类的沟通和行为。它支持对现实世界的小变化具有在线社区中的涟漪效果,以便更好。

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