| Issue |
SHS Web Conf.
Volume 155, 2023
2022 2nd International Conference on Social Development and Media Communication (SDMC 2022)
|
|
|---|---|---|
| Article Number | 03014 | |
| Number of page(s) | 6 | |
| Section | Intelligent Social Change and Women's Artistic Expression | |
| DOI | https://doi.org/10.1051/shsconf/202315503014 | |
| Published online | 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
a Corresponding author: 1908010211@st.btbu,edu.cn
b Corresponding author: 2019010310010@buu.edu.cn
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
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