Issue |
SHS Web Conf.
Volume 151, 2022
3rd International Symposium on Economics, Management, and Sustainable Development (EMSD 2022)
|
|
---|---|---|
Article Number | 01047 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/shsconf/202215101047 | |
Published online | 16 December 2022 |
A Review of China’s Public Service Advertising Audience Research Based on Idealized Cognitive Models
North China Electric Power University, 2 Beinong Road, Changping District, Beijing, China
With the rapid development of new era and new media, opportunities and challenges of the development of public service advertising coexist. Against the backdrop of the times and the development of media, public service advertising needs to incorporate more subjects, so that the audience can pay more attention to and understand such advertisements. Based on the above social background, how to better publicize the mainstream values of society among the public with the help of public service advertising is what the current government needs to focus on and solve. This research combines the idealized cognitive models to elaborate the social value of public service advertising in the new era, with a view to giving suggestions to the state, government, society and other subjects, and contributing to the vigorous development of public service advertising in China.
Key words: Public service advertising / social value / idealized cognitive models / audience acceptance research
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.