{"title":"Modeling misinformation spread for policy evaluation: a parsimonious framework","authors":"Yiting Deng, Richard Staelin","doi":"10.1007/s11002-024-09724-8","DOIUrl":null,"url":null,"abstract":"<p>We develop a parsimonious framework for evaluating the efficacy of different approaches for limiting the spread of misinformation. We use this framework and simulation studies to determine the evolution of truthful and fake messages on social media platforms and then investigate the following policy interventions: (1) our suggested approach of having the platform require senders of messages to also state their perceived (possibly incorrect) veracity of the message, (2) provide some accuracy nudge to increase the number of potential readers who can accurately identify fake messages, (3) have the platform flag fake messages, and (4) have the platform demote or down-rank fake messages. We find that when a significant number of senders are able to correctly identify the veracity of the message, the market can self-regulate under our suggested approach. If this is not the case, we find that augmenting our approach with any of the other approaches is effective in reducing the spread of misinformation.</p>","PeriodicalId":48068,"journal":{"name":"Marketing Letters","volume":"25 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketing Letters","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s11002-024-09724-8","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
We develop a parsimonious framework for evaluating the efficacy of different approaches for limiting the spread of misinformation. We use this framework and simulation studies to determine the evolution of truthful and fake messages on social media platforms and then investigate the following policy interventions: (1) our suggested approach of having the platform require senders of messages to also state their perceived (possibly incorrect) veracity of the message, (2) provide some accuracy nudge to increase the number of potential readers who can accurately identify fake messages, (3) have the platform flag fake messages, and (4) have the platform demote or down-rank fake messages. We find that when a significant number of senders are able to correctly identify the veracity of the message, the market can self-regulate under our suggested approach. If this is not the case, we find that augmenting our approach with any of the other approaches is effective in reducing the spread of misinformation.
期刊介绍：
Marketing Letters: A Journal of Research in Marketing publishes high-quality, shorter paper (under 5,000 words including abstract, main text and references, which is equivalent to 20 total pages, double-spaced with 12 point Times New Roman font) on marketing, the emphasis being on immediacy and current interest. The journal offers a medium for the truly rapid publication of research results.
The focus of Marketing Letters is on empirical findings, methodological papers, and theoretical and conceptual insights across areas of research in marketing.
Marketing Letters is required reading for anyone working in marketing science, consumer research, methodology, and marketing strategy and management.
The key subject areas and topics covered in Marketing Letters are: choice models, consumer behavior, consumer research, management science, market research, sales and advertising, marketing management, marketing research, marketing science, psychology, and statistics.
Officially cited as: Mark Lett
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