Voice-activated personal assistants and privacy concerns: a Twitter analysis

IF 9.6 2区管理学 Q1 BUSINESS

Journal of Research in Interactive Marketing Pub Date : 2023-11-08 DOI:10.1108/jrim-02-2023-0050

Miriam Alzate, Marta Arce Urriza, Monica Cortiñas

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引用次数: 0

Abstract

Purpose This study aims to understand the extent of privacy concerns regarding voice-activated personal assistants (VAPAs) on Twitter. It investigates three key areas: (1) the effect of privacy-related press coverage on public sentiment and discussion volume; (2) the comparative negativity of privacy-focused conversations versus general conversations; and (3) the specific privacy-related topics that arise most frequently and their impact on sentiment and discussion volume. Design/methodology/approach A dataset of 441,427 tweets mentioning Amazon Alexa, Google Assistant, and Apple Siri from July 1, 2019 to June 30, 2021 were collected. Privacy-related press coverage has also been monitored. Sentiment analysis was conducted using the dictionary-based software LIWC and VADER, whereas text mining packages in R were used to identify privacy-related issues. Findings Negative privacy-related news significantly increases both negativity and volume in Twitter conversations, whereas positive news only boosts volume. Privacy-related tweets were notably more negative than general tweets. Specific keywords were found to either increase or decrease the sentiment and discussion volume. Additionally, a temporal evolution in sentiment, with general attitudes toward VAPAs becoming more positive, but privacy-specific discussions becoming more negative was observed. Originality/value This research augments the existing online privacy literature by employing text mining methodologies to gauge consumer sentiments regarding privacy concerns linked to VAPAs, a topic currently underexplored. Furthermore, this research uniquely integrates established theories from privacy calculus and social contract theory to deepen our analysis.

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声控个人助理和隐私问题:一项Twitter分析

本研究旨在了解Twitter上声控个人助理(VAPAs)的隐私问题程度。本文研究了三个关键领域:(1)与隐私相关的新闻报道对公众情绪和讨论量的影响;(2)以隐私为中心的对话与一般对话的相对消极性;(3)出现频率最高的具体隐私相关话题及其对情绪和讨论量的影响。设计/方法/方法收集了2019年7月1日至2021年6月30日期间441,427条提到亚马逊Alexa、谷歌助手和苹果Siri的推文数据集。与隐私相关的新闻报道也受到监控。使用基于词典的LIWC和VADER软件进行情感分析，而使用R中的文本挖掘包来识别与隐私相关的问题。与隐私相关的负面新闻会显著增加Twitter对话的消极性和数量，而正面新闻只会增加数量。与隐私相关的推文明显比一般推文更为负面。特定的关键词会增加或减少情绪和讨论量。此外，观察到情绪的时间演变，对VAPAs的普遍态度变得更加积极，但特定于隐私的讨论变得更加消极。原创性/价值本研究通过使用文本挖掘方法来衡量消费者对与VAPAs相关的隐私问题的看法，从而增强了现有的在线隐私文献，这是一个目前尚未得到充分探讨的话题。此外，本研究独特地整合了隐私演算和社会契约理论的现有理论，以深化我们的分析。

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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来源期刊

Journal of Research in Interactive Marketing BUSINESS-

CiteScore

17.80

自引率

17.10%

发文量

期刊介绍： The mission of the Journal of Research in Interactive Marketing is to address substantive issues in interactive, relationship, electronic, direct and multi-channel marketing and marketing management. ISSN: 2040-7122 eISSN: 2040-7122 With its origins in the discipline and practice of direct marketing, the Journal of Research in Interactive Marketing (JRIM) aims to publish progressive, innovative and rigorous scholarly research for marketing academics and practitioners.