Lecture Notes in Education Psychology and Public Media

- The Open Access Proceedings Series for Conferences


Lecture Notes in Education Psychology and Public Media

Vol. 21, 20 November 2023


Open Access | Article

Examining Public Perceptions of Algorithm Transparency: An Empirical Analysis

Siyi Liu * 1 , Hanyue Luo 2
1 Jilin police college
2 Macau University of Science and Technology

* Author to whom correspondence should be addressed.

Advances in Humanities Research, Vol. 21, 137-144
Published 20 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Siyi Liu, Hanyue Luo. Examining Public Perceptions of Algorithm Transparency: An Empirical Analysis. LNEP (2023) Vol. 21: 137-144. DOI: 10.54254/2753-7048/21/20230108.

Abstract

In the rapidly evolving landscape of the digital age, algorithms have become pivotal components of various systems, influencing the information and content consumers encounter. This empirical analysis delves into algorithm transparency’s intricate relationship and implications for consumer perception, trust, and behavioral intention. Given the prevalence of algorithms in shaping the digital media and consumption landscape, comprehending the public’s opinions and comprehension of algorithm transparency has gained paramount significance. Preliminary findings from this research spotlight the pivotal role of algorithm transparency in molding consumer trust and decision-making processes. As consumers increasingly interact with algorithmically curated content and recommendations, the transparency surrounding these algorithms substantially influences how individuals perceive and interact with such technologies. The study’s outcomes offer valuable insights for policymakers, businesses, and developers aiming to enhance user experiences, strengthen consumer trust, and fine-tune algorithms that align with public expectations. In conclusion, this empirical analysis represents a critical step toward unraveling the multifaceted relationship between algorithm transparency and its impact on consumer behavior. In a digital landscape characterized by ubiquitous algorithms, understanding how transparency shapes perceptions and decisions is academically intriguing and practically imperative for fostering healthier digital interactions.

Keywords

algorithm transparency, consumer perception, behavioral intention, big data

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the International Conference on Global Politics and Socio-Humanities
ISBN (Print)
978-1-83558-121-6
ISBN (Online)
978-1-83558-122-3
Published Date
20 November 2023
Series
Lecture Notes in Education Psychology and Public Media
ISSN (Print)
2753-7048
ISSN (Online)
2753-7056
DOI
10.54254/2753-7048/21/20230108
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated