内容与背景:确定定性信息对消费者选择的影响

Sinan Aral, Panagiotis G. Ipeirotis, Sean J. Taylor
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引用次数: 21

摘要

管理人员和研究人员都怀疑,博客、评论、新闻报道和专家建议中的大量定性信息会影响消费者的行为。但是,定性信息会影响或反映消费者的选择吗?我们认为,由于信息内容和消费者选择是内生的,非随机选择以及意识和说服的合并使信息内容对结果影响的因果估计复杂化。我们应用潜在狄利克雷分配来描述Jim Cramer在他的节目Mad Money中提供的2397个股票推荐的转录内容的主题。我们证明了选择偏差和受众先验意识在估计内容对股票价格的影响时产生了可测量的偏差。将推荐内容与之前的新闻进行比较,我们发现当他使用更多新颖的论点时,他的说服力会降低。我们开发的技术可以应用于各种环境中,在这些环境中,营销人员可以根据消费者所知道的情况呈现不同的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content and Context: Identifying the Impact of Qualitative Information on Consumer Choice
Managers and researchers alike suspect that the vast amounts of qualitative information in blogs, reviews, news stories, and experts’ advice influence consumer behavior. But, does qualitative information impact or rather reflect consumer choices? We argue that because message content and consumer choice are endogenous, nonrandom selection and conflation of awareness and persuasion complicate causal estimation of the impact of message content on outcomes. We apply Latent Dirichlet Allocation to characterize the topics of transcribed content from 2,397 stock recommendations provided by Jim Cramer on his show Mad Money. We demonstrate that selection bias and audience prior awareness create measurable biases in estimates of the impact of content on stock prices. Comparing recommendation content to prior news, we show that he is less persuasive when he uses more novel arguments. The technique we develop can be applied in a variety of settings where marketers can present different messages depending on what consumers know.
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