Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)

<Previous Article In Volume
Next Article In Volume>

Research On Software Testing Method Based on Social Media Risk Control

Authors
Xiaofan Zhang1, *
1Xi’an Eurasian University, Xi’an, Shaanxi, China
*Corresponding author. Email: zhangxiaofan@eurasia.edu
Corresponding Author
Xiaofan Zhang
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-578-2_24How to use a DOI?
Keywords
Risk Control; Testing Methodology; Automated Monitoring
Abstract

With the popularization of social media, the management and risk control of user comments have gradually become an important issue. In order to improve the effectiveness of the online comment risk control system, this paper proposes a software test-based method to evaluate the execution effect of the existing risk control strategy by releasing test comment data. The test method designs a variety of scenarios to simulate different types of risky comments and analyzes the expected disposition results in comparison with the actual processing results. Through this method, we are able to quantify the effectiveness of the risk control strategy and identify potential deficiencies, thus providing a basis for subsequent strategy optimization. The experimental results show that this method not only improves the accuracy of risk control, but also provides a feasible path to realize automated monitoring.

Copyright
© 2024 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
Series
Advances in Intelligent Systems Research
Publication Date
1 December 2024
ISBN
978-94-6463-578-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-578-2_24How to use a DOI?
Copyright
© 2024 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  - Xiaofan Zhang
PY  - 2024
DA  - 2024/12/01
TI  - Research On Software Testing Method Based on Social Media Risk Control
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
PB  - Atlantis Press
SP  - 228
EP  - 235
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-578-2_24
DO  - 10.2991/978-94-6463-578-2_24
ID  - Zhang2024
ER  -