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Can bots help create knowledge? The effects of bot intervention in open collaboration

机译:机器人可以帮助创造知识吗? 机器人干预在开放协作的影响

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Many open collaboration platforms (e.g., Wikipedia) have recently utilized automated algorithmic agents, called Bots, to solve the issue of stagnating user participation. However, understanding of how such a bot agent affects user activities in open collaboration is limited. In this study, we examine (i) whether bot intervention affects user participation and (ii) whether the impact of bot intervention could vary by characteristics of open collaboration works. We pursue our research goals by utilizing a rich dataset from between 2005 and 2017 from an online open collaboration platform. The platform has recently utilized two types of unique bots that interact with human users in open collaboration. By employing difference-in-differences approach, we show that bot intervention in open collaboration leads to unintended consequences as it significantly demotivates user participation. We further show that the negative effect of bot intervention is alleviated if more active users are engaged or if covered topics have a higher concentration in a collaboration work. This provides directions for businesses to resolve the unintended demotivation problem in utilizing bot agents.
机译:许多开放式协作平台(例如,维基百科)最近利用了自动算法代理,称为机器人,以解决停滞不前的用户参与问题。但是,了解这种BOT代理如何影响开放协作中的用户活动是有限的。在这项研究中,我们检查(i)BOT干预是否影响用户参与和(ii)机器人干预的影响是否可能因公开协作工作的特征而变化。我们通过利用2005年至2017年之间从在线开放协作平台之间使用丰富的数据集来追求我们的研究目标。该平台最近利用了两种类型的独特机器,与人类用户在开放协作中互动。通过采用差异差异差异,我们表明,开放协作的机器人干预导致意外后果,因为它显着消除了用户参与。我们进一步表明,如果更多活跃的用户参与或在协作工作中具有更高的浓度,则减轻了BOT干预的负面影响。这为企业提供了在利用机器人代理商中解决意外的降级问题的业务方向。

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