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Linguistic Adaptation in Conversation Threads: Analyzing Alignment in Online Health Communities

机译:对话线程中的语言适应:分析在线健康社区中的一致性

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Previous studies of alignment have focused on two-party conversations. We study multi-party conversation in online health communities, which have shown benefits for their members from forum conversations. So far, our understanding of the relationship between alignment in such multi-party conversations and its possible connection to member benefits has been limited. This paper quantifies linguistic alignment in the oldest and the largest cancer online forum. Alignment at lexical and syntactic levels, as well as decay of alignment was observed in forum threads, although the decay was slower than commonly found in psycholinguistic studies. The different pattern of adaptation to the initial post on a thread suggests that specific roles in the online forum (e.g., seeking support from the community) can potentially be revealed through alignment theory and its extensions.
机译:先前的一致性研究集中在两方对话。我们在在线医疗社区中研究多方对话,这些对话已为他们的成员显示了论坛对话的好处。到目前为止,我们对这种多方对话中的一致性与其与成员利益的可能联系之间的关系的理解受到限制。本文对最古老和最大的癌症在线论坛中的语言一致性进行了量化。尽管在论坛语言中,在词汇和句法水平上的对齐方式以及对齐方式的衰减都被观察到,尽管这种衰减比在心理语言学研究中通常发现的要慢。适应线程中初始帖子的不同模式表明,在线论坛中的特定角色(例如,寻求社区支持)可以通过对齐理论及其扩展来揭示。

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