Misinformation in Third-party Voice Applications

Proceedings of the 5th International Conference on Conversational User Interfaces Pub Date : 2023-07-19 DOI:10.1145/3571884.3604307

M. Bispham, S. Sattar, Clara Zard, Xavier Ferrer-Aran, Jide S. Edu, Guillermo Suarez-Tangil, J. Such

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引用次数: 2

Abstract

This paper investigates the potential for spreading misinformation via third-party voice applications in voice assistant ecosystems such as Amazon Alexa and Google Assistant. Our work fills a gap in prior work on privacy issues associated with third-party voice applications, looking at security issues related to outputs from such applications rather than compromises to privacy from user inputs. We define misinformation in the context of third-party voice applications and implement an infrastructure for testing third-party voice applications using automated natural language interaction. Using our infrastructure, we identify — for the first time — several instances of misinformation in third-party voice applications currently available on the Google Assistant and Amazon Alexa platforms. We then discuss the implications of our work for developing measures to pre-empt the threat of misinformation and other types of harmful content in third-party voice assistants becoming more significant in the future.

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第三方语音应用中的错误信息

本文研究了通过亚马逊Alexa和谷歌助手等语音助手生态系统中的第三方语音应用程序传播错误信息的可能性。我们的工作填补了之前与第三方语音应用程序相关的隐私问题工作的空白，研究与此类应用程序输出相关的安全问题，而不是用户输入对隐私的损害。我们定义了第三方语音应用程序上下文中的错误信息，并实现了使用自动自然语言交互测试第三方语音应用程序的基础设施。利用我们的基础设施，我们首次发现了目前在谷歌助手和亚马逊Alexa平台上可用的第三方语音应用程序中的几个错误信息。然后，我们讨论了我们的工作对制定措施的影响，以预防第三方语音助手中错误信息和其他类型有害内容的威胁，这些威胁在未来会变得更加重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 5th International Conference on Conversational User Interfaces

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