{"title":"纠正还是不纠正:投资者能够辨别虚假金融新闻吗?","authors":"Ning Du, Tawei Wang, Hui Lin","doi":"10.1080/15427560.2023.2259031","DOIUrl":null,"url":null,"abstract":"AbstractThis study attempts to understand how to reduce the continued influence of misleading financial news and examine the effectiveness of corrective efforts such as ex-ante disclosure of compensation of a promoter/writer and the immediacy of ex-post correction. In the 2 (disclosure vs. no disclosure) × 2 (immediate correction vs. delayed correction) experiment, student participants received a (fake) news article including or excluding the author’s affiliation and compensation scheme and were then provided a correction invalidating its content. The correction was provided either immediately or with a delay. The results showed that although participants were susceptible to the influence of positive yet misleading news, providing warnings about potential economic conflicts of interest seemed to temper this enthusiasm among investors. Participants exhibited greater receptiveness to explicit corrections when the initial news article included a compensation disclosure, and when they were not immediately prompted to process the correction. Our findings imply that delaying corrections may offer distinct advantages, as it provides investors with the opportunity to assimilate the compensation disclosure information into their investment decisions over time. Additionally, our results indicate that a dual approach involving conflict of interest disclosure and subsequent correction can be an effective long-term strategy in mitigating investors’ vulnerability to misinformation.Keywords: Corrective measuresFake newsInvestor judgmentsMisinformation AcknowledgementThe authors are thankful for the participants’ suggestions at the accounting research workshop at DePaul University. The authors would also like to thank DePaul University for the financial support.Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 In the experiment, we did not specify the degree of truthfulness of the news article and believed that any reaction to positive news would satisfy the lower bound of fake news. In a pilot study, we provided one group of participants with the financial highlights plus the fake (optimistic) news article and the other group with only the financial highlights. We compared the judgments from these two groups and attributed any difference between the two conditions to fake news. We found that judgments from the financial highlights + optimistic news condition are much higher than those from the financial highlights-only condition. This evidence indicates that the optimistic news article indeed inflated investors’ investment judgments.2 We introduced three demographic variables—working experience, investment experience, and age—as covariates in our ANOVA analysis. None of these variables yielded statistical significance. Importantly, the inclusion of these covariates did not alter the outcomes or results of our ANOVA analysis.3 Two sided p = 0.14 (see Table 5)","PeriodicalId":47016,"journal":{"name":"Journal of Behavioral Finance","volume":"103 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"To Correct or Not to Correct: Are Investors Able to Discern Fake Financial News?\",\"authors\":\"Ning Du, Tawei Wang, Hui Lin\",\"doi\":\"10.1080/15427560.2023.2259031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractThis study attempts to understand how to reduce the continued influence of misleading financial news and examine the effectiveness of corrective efforts such as ex-ante disclosure of compensation of a promoter/writer and the immediacy of ex-post correction. In the 2 (disclosure vs. no disclosure) × 2 (immediate correction vs. delayed correction) experiment, student participants received a (fake) news article including or excluding the author’s affiliation and compensation scheme and were then provided a correction invalidating its content. The correction was provided either immediately or with a delay. The results showed that although participants were susceptible to the influence of positive yet misleading news, providing warnings about potential economic conflicts of interest seemed to temper this enthusiasm among investors. Participants exhibited greater receptiveness to explicit corrections when the initial news article included a compensation disclosure, and when they were not immediately prompted to process the correction. Our findings imply that delaying corrections may offer distinct advantages, as it provides investors with the opportunity to assimilate the compensation disclosure information into their investment decisions over time. Additionally, our results indicate that a dual approach involving conflict of interest disclosure and subsequent correction can be an effective long-term strategy in mitigating investors’ vulnerability to misinformation.Keywords: Corrective measuresFake newsInvestor judgmentsMisinformation AcknowledgementThe authors are thankful for the participants’ suggestions at the accounting research workshop at DePaul University. The authors would also like to thank DePaul University for the financial support.Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 In the experiment, we did not specify the degree of truthfulness of the news article and believed that any reaction to positive news would satisfy the lower bound of fake news. In a pilot study, we provided one group of participants with the financial highlights plus the fake (optimistic) news article and the other group with only the financial highlights. We compared the judgments from these two groups and attributed any difference between the two conditions to fake news. We found that judgments from the financial highlights + optimistic news condition are much higher than those from the financial highlights-only condition. This evidence indicates that the optimistic news article indeed inflated investors’ investment judgments.2 We introduced three demographic variables—working experience, investment experience, and age—as covariates in our ANOVA analysis. None of these variables yielded statistical significance. 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To Correct or Not to Correct: Are Investors Able to Discern Fake Financial News?
AbstractThis study attempts to understand how to reduce the continued influence of misleading financial news and examine the effectiveness of corrective efforts such as ex-ante disclosure of compensation of a promoter/writer and the immediacy of ex-post correction. In the 2 (disclosure vs. no disclosure) × 2 (immediate correction vs. delayed correction) experiment, student participants received a (fake) news article including or excluding the author’s affiliation and compensation scheme and were then provided a correction invalidating its content. The correction was provided either immediately or with a delay. The results showed that although participants were susceptible to the influence of positive yet misleading news, providing warnings about potential economic conflicts of interest seemed to temper this enthusiasm among investors. Participants exhibited greater receptiveness to explicit corrections when the initial news article included a compensation disclosure, and when they were not immediately prompted to process the correction. Our findings imply that delaying corrections may offer distinct advantages, as it provides investors with the opportunity to assimilate the compensation disclosure information into their investment decisions over time. Additionally, our results indicate that a dual approach involving conflict of interest disclosure and subsequent correction can be an effective long-term strategy in mitigating investors’ vulnerability to misinformation.Keywords: Corrective measuresFake newsInvestor judgmentsMisinformation AcknowledgementThe authors are thankful for the participants’ suggestions at the accounting research workshop at DePaul University. The authors would also like to thank DePaul University for the financial support.Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 In the experiment, we did not specify the degree of truthfulness of the news article and believed that any reaction to positive news would satisfy the lower bound of fake news. In a pilot study, we provided one group of participants with the financial highlights plus the fake (optimistic) news article and the other group with only the financial highlights. We compared the judgments from these two groups and attributed any difference between the two conditions to fake news. We found that judgments from the financial highlights + optimistic news condition are much higher than those from the financial highlights-only condition. This evidence indicates that the optimistic news article indeed inflated investors’ investment judgments.2 We introduced three demographic variables—working experience, investment experience, and age—as covariates in our ANOVA analysis. None of these variables yielded statistical significance. Importantly, the inclusion of these covariates did not alter the outcomes or results of our ANOVA analysis.3 Two sided p = 0.14 (see Table 5)
期刊介绍:
In Journal of Behavioral Finance , leaders in many fields are brought together to address the implications of current work on individual and group emotion, cognition, and action for the behavior of investment markets. They include specialists in personality, social, and clinical psychology; psychiatry; organizational behavior; accounting; marketing; sociology; anthropology; behavioral economics; finance; and the multidisciplinary study of judgment and decision making. The journal will foster debate among groups who have keen insights into the behavioral patterns of markets but have not historically published in the more traditional financial and economic journals. Further, it will stimulate new interdisciplinary research and theory that will build a body of knowledge about the psychological influences on investment market fluctuations. The most obvious benefit will be a new understanding of investment markets that can greatly improve investment decision making. Another benefit will be the opportunity for behavioral scientists to expand the scope of their studies via the use of the enormous databases that document behavior in investment markets.