Analyzing Threats to Financial Market Integrity - A Taxonomy of Financial Fake News Schemes

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dc.contributor.authorRath, Oliver
dc.contributor.authorHaase, Frederic
dc.contributor.authorMelsbach, Johannes
dc.contributor.authorLiu, Jiarun
dc.contributor.authorLauten, Julia
dc.contributor.authorSchoder, Detlef
dc.date.accessioned2023-12-26T18:38:12Z
dc.date.available2023-12-26T18:38:12Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.271
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherc31b3230-701e-4950-bb05-3003f554ecaf
dc.identifier.urihttps://hdl.handle.net/10125/106650
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEmerging Topics in Digital Government
dc.subjectdigital institutions
dc.subjectdisinformation
dc.subjectfinancial fake news
dc.subjectfinancial fraud
dc.subjecttaxonomy
dc.titleAnalyzing Threats to Financial Market Integrity - A Taxonomy of Financial Fake News Schemes
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractProtecting financial market integrity is a key concern for regulators as disinformation-driven fraud based on financial fake news (FFN) is taking on a significant role in financial market manipulation. While existing research focuses on describing or categorizing financial fraud schemes more broadly, we aim to provide a taxonomy focusing specifically on FFN schemes. Drawing on U.S. Securities and Exchange Commission (SEC) litigation releases and underpinning theoretical tenets, we utilize an iterative taxonomy approach to systematically classify fraudulent FFN schemes. Our contribution is to provide a robust, comprehensive framework that enhances the body of knowledge about the diverse landscape of financial disinformation. The taxonomy provides practical benefits to market participants and market surveillance authorities by its ability to guide the development of fraud detection systems.
dcterms.extent10 pages
prism.startingpage2191

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