Conversational receptiveness: Improving engagement with opposing views
Conversational receptiveness: Improving engagement with opposing views
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DOI：
10.1016/j.obhdp.2020.03.011
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发表时间：
2020-09-01
影响因子：
4.6
通讯作者：
Gino, Francesca
中科院分区：
文献类型：
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作者：
Yeomans, Michael;Minson, Julia;Gino, Francesca
我们研究“对话接受性”——使用语言来表达一个人深思熟虑地参与反对意见的意愿。我们开发了一种可解释的机器学习算法来识别接受性的语言特征（研究 1A-B）。然后我们表明，在有争议的政策讨论中，根据我们的算法和他们的合作伙伴，而不是他们自己的自我评价，被认为更容易接受的政府高管被认为是更好的队友、顾问和工作场所代表（研究 2）。此外，使用来自冲突管理对生产力普遍存在的环境的现场数据，我们表明，对话开始时的对话接受度可以防止最终的冲突升级。具体来说，撰写更容易接受的帖子的维基百科编辑不太容易受到持不同意见的编辑的人身攻击（研究 3）。我们根据我们的算法开发了一种“接受性配方”干预措施。我们发现遵循该秘诀的作家被认为是未来合作更理想的合作伙伴，他们的信息被认为更有说服力（研究 4）。总的来说，我们发现对话接受度是可以可靠测量的，具有有意义的关系后果，并且可以通过我们的干预得到显着改善。
We examine "conversational receptiveness" - the use of language to communicate one's willingness to thoughtfully engage with opposing views. We develop an interpretable machine-learning algorithm to identify the linguistic profile of receptiveness (Studies 1A-B). We then show that in contentious policy discussions, government executives who were rated as more receptive - according to our algorithm and their partners, but not their own self-evaluations - were considered better teammates, advisors, and workplace representatives (Study 2). Furthermore, using field data from a setting where conflict management is endemic to productivity, we show that conversational receptiveness at the beginning of a conversation forestalls conflict escalation at the end. Specifically, Wikipedia editors who write more receptive posts are less prone to receiving personal attacks from disagreeing editors (Study 3). We develop a "receptiveness recipe" intervention based on our algorithm. We find that writers who follow the recipe are seen as more desirable partners for future collaboration and their messages are seen as more persuasive (Study 4). Overall, we find that conversational receptiveness is reliably measurable, has meaningful relational consequences, and can be substantially improved using our intervention.