SHS Web Conf.
Volume 155, 20232022 2nd International Conference on Social Development and Media Communication (SDMC 2022)
|Number of page(s)
|Intelligent Social Change and Women's Artistic Expression
|12 January 2023
The Effect of Algorithmic Recommendations on Female University Students’ Willingness to Engage in Romantic Behaviour
1 Institute of Media and Design, Beijing Technology and Business University, 102488, Beijing, China
2 Institute of Applied Arts and Sciences, Beijing Union University, 100191, Beijing, China
With algorithmic recommendations becoming an important way and means of information distribution, social media platforms are developing rapidly, and students in colleges and universities today have become the main audience for their information access. In this paper, through the application of TPB model in the intention to fall in love of young female groups in colleges and universities, four variables, namely attention, attitude, subjective norm and perceived behavioural control, were studied in depth, and a research model of factors influencing the relationship behaviour of young female groups was constructed based on the theoretical model of planned behaviour. According to the results, the factor of attention did not have a significant positive effect on relationship behaviour intentions, and behavioural attitudes, subjective norms and perceived behavioural control (PBC) had a significant positive effect on relationship behaviour intentions.
© The Authors, published by EDP Sciences, 2023
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.