Beyond Personalized Recommendations: A Study of Algorithmic "Pseudo-Personalized Recommendations" from the Perspective of the "Circle Agenda"

DOI

10.2991/978-2-38476-178-4_12How to use a DOI?

Keywords

Personalized Recommendations; Pseudo-Personalized Recommendations; Circle Agenda; Attention Economy

Abstract

Algorithmic personalized recommendation has become a consensus, but through the existing literature analysis, as well as the interactive search of "news algorithm", we found that there is another side of algorithmic recommendation: "pseudo-personalized recommendation". From this, it is concluded that algorithmic "personalized recommendation" presents a kind of coarse-grained personalization with certain deceptive gimmicks, which in essence tends to be a kind of "pseudo-personalized recommendation". At the same time, in order to verify this characteristic of pseudo-personalized recommendation, we try to take "Today’s Headlines" platform as the research object, and conduct a qualitative research on its three publicly available news algorithmic recommendation modes. It is found that "user profile" recommendation tends to personalized recommendation, while "collaborative filtering" recommendation and traditional "ranking" recommendation tend to pseudo-personalized recommendation under the perspective of circle agenda. recommendation. Further, we analyze the reasons for the silence of pseudo-personalization and the interactions between the two, and conclude that, on the one hand, pseudo-personalization has a positive culmination effect, which can provide diversified sources of information and weaken the cocoon effect of personalization. On the other hand, "pseudo-personalized recommendation" and "personalized recommendation" have similarities, i.e., both of them are seeking the ontology of "attention economy". In this paper, we hope to reintroduce the aspect of algorithmic "pseudo-personalized recommendation", recognize the two sides of the algorithmic controversy, and provide different thinking paths for alleviating algorithmic anxiety and constructing a good algorithmic discourse ecology.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yiqi Ye
AU  - Yuqian Zhou
PY  - 2023
DA  - 2023/12/30
TI  - Beyond Personalized Recommendations: A Study of Algorithmic "Pseudo-Personalized Recommendations" from the Perspective of the "Circle Agenda"
BT  - Proceedings of the 2023 3rd International Conference on Social Development and Media Communication (SDMC 2023)
PB  - Atlantis Press
SP  - 91
EP  - 103
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-178-4_12
DO  - 10.2991/978-2-38476-178-4_12
ID  - Ye2023
ER  -