Proceedings of the 2023 3rd International Conference on Social Development and Media Communication (SDMC 2023)

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Research on when the users face the intelligent recommended content, whether they generate "like" behaviours in the social media environment

Authors
He Yuchen1, *
1Nanhai Film Academy, Haikou University of Economics, Haikou, Hainan province, 570100, China
*Corresponding author. Email: hyc20020823@gmail.com
Corresponding Author
He Yuchen
Available Online 30 December 2023.
DOI
10.2991/978-2-38476-178-4_26How to use a DOI?
Keywords
social media; intelligent recommendations; like behaviour; user behavior; The theory of Reasoned Action
Abstract

The purpose is to discuss whether users will like their intelligent recommended content and influence the liking behaviour in the social media environment to provide a reference for future research and practice. Using the Theory of Reasoned Action, the subjects investigated were interviewed to analyze the study, comb and conclude. In addition to the user's attitude towards “like” behaviour and the people around will stimulate users' “like” behaviour, intelligent recommend information content quality, service quality, the quality of the system and the user's own needs, platform operation, and social influence will also directly affect the “like” intention, liking intention also directly affect the “like” behaviour.

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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Volume Title
Proceedings of the 2023 3rd International Conference on Social Development and Media Communication (SDMC 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
30 December 2023
ISBN
978-2-38476-178-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-178-4_26How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - He Yuchen
PY  - 2023
DA  - 2023/12/30
TI  - Research on when the users face the intelligent recommended content, whether they generate "like" behaviours in the social media environment
BT  - Proceedings of the 2023 3rd International Conference on Social Development and Media Communication (SDMC 2023)
PB  - Atlantis Press
SP  - 210
EP  - 215
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-178-4_26
DO  - 10.2991/978-2-38476-178-4_26
ID  - Yuchen2023
ER  -