Sinan Aral, Panagiotis G. Ipeirotis, Sean J. Taylor
{"title":"内容与背景:确定定性信息对消费者选择的影响","authors":"Sinan Aral, Panagiotis G. Ipeirotis, Sean J. Taylor","doi":"10.2139/ssrn.1784376","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":108833,"journal":{"name":"MKTG: Consumer Decision Making & Search (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Content and Context: Identifying the Impact of Qualitative Information on Consumer Choice\",\"authors\":\"Sinan Aral, Panagiotis G. Ipeirotis, Sean J. Taylor\",\"doi\":\"10.2139/ssrn.1784376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":108833,\"journal\":{\"name\":\"MKTG: Consumer Decision Making & Search (Topic)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MKTG: Consumer Decision Making & Search (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1784376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MKTG: Consumer Decision Making & Search (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1784376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.