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"What's wrong with this product?": Detection of product safety issues based on information consumers share online

Published: 07 September 2023 Publication History

Abstract

With the widespread use of e-commerce, proper oversight and regulatory compliance become increasingly difficult, if not impossible, resulting in a heightened risk of harm to consumers from unsafe products. In this paper, we explore how online consumer reviews can be utilized to identify hazardous products that have previously been flagged in the European Union Safety Gate reports. Our research presents a general framework that can be beneficial for regulatory authorities, as well as a specific application to consumer electronics. We contribute a dataset of 3000 reviews of electronic products, 755 of which reference hazardous products, and conduct classification baselines, achieving an AUC of up to 80% with room for improvement. Furthermore, we discuss the legal basis for annotation and potential issues that may arise. Our proposed methodology and dataset are valuable resources for regulatory authorities in the European Union and provide evidence of the effectiveness of digital surveillance in protecting consumers.

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  • (2024)AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & LawArtificial Intelligence and Law10.1007/s10506-024-09404-yOnline publication date: 16-May-2024

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        ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law
        June 2023
        499 pages
        ISBN:9798400701979
        DOI:10.1145/3594536
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        New York, NY, United States

        Publication History

        Published: 07 September 2023

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        Author Tags

        1. classification
        2. consumer protection
        3. datasets
        4. online reviews

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        Overall Acceptance Rate 69 of 169 submissions, 41%

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        • (2024)AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & LawArtificial Intelligence and Law10.1007/s10506-024-09404-yOnline publication date: 16-May-2024

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