The intersection of targeted advertising and security: Unraveling the mystery of overheard conversations
Telematics and Informatics Reports, ISSN: 2772-5030, Vol: 11, Page: 100092
2023
- 3Citations
- 38Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper explores targeted advertising, focusing on voice recognition technology and its potential effects on user privacy, assessing the advantages and challenges of such advertising methods. By emphasizing the need to balance marketing efficacy and user privacy protection, the analysis delves into the evolution, current state, and potential applications of voice recognition technology in targeted advertising while considering ethical and legal aspects. Security implications of overheard conversations are also addressed, highlighting the importance of user consent, awareness, and legal frameworks. Strategies for preserving user privacy are proposed, encompassing privacy-enhancing technologies, policy recommendations, consumer awareness, and education efforts. This paper contributes to the ongoing discourse on balancing advertising efficiency and user privacy in today's digital landscape. It provides a comprehensive analysis and valuable insights for stakeholders, including advertisers, policymakers, and users.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S277250302300052X; http://dx.doi.org/10.1016/j.teler.2023.100092; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85168579173&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S277250302300052X; https://dx.doi.org/10.1016/j.teler.2023.100092
Elsevier BV
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