Microblog Rumor Prediction Model and Analysis Based on Decision Tree

DOI

10.2991/978-2-38476-297-2_67How to use a DOI?

Keywords

Rumors; decision trees; classification predictions; data analysis; management advice

Abstract

The spread of rumors on Weibo seriously threatens social stability and personal interests, especially in public health events. Therefore, it is crucial to effectively identify and respond to rumors. This study uses machine learning methods to integrate and analyze Weibo content characteristics, dissemination characteristics, and user characteristics to construct a decision tree classification model. Since Weibo needs to increase its early warning capabilities and supervision of rumors, the optimization of this model pays special attention to the accurate prediction of rumors, that is, it pays more attention to the recall rate of rumors. After optimization, the decision tree model performs more accurately in rumor prediction, with the recall rate of rumors increasing to 0.88, and the precision of both categories has increased, with the rumor category increasing to 0.86 and the non-rumor category increasing to 0.82, showing higher recognition accuracy and reliability. Data analysis and model practice show that the consideration of comprehensive features helps to improve the accuracy of rumor identification. At the same time, the management suggestions put forward provide guidance for social platforms and regulatory authorities to cope with the challenges of rumor propagation.

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.

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TY  - CONF
AU  - Yingqian Qiu
PY  - 2024
DA  - 2024/10/31
TI  - Microblog Rumor Prediction Model and Analysis Based on Decision Tree
BT  - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)
PB  - Atlantis Press
SP  - 535
EP  - 542
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-297-2_67
DO  - 10.2991/978-2-38476-297-2_67
ID  - Qiu2024
ER  -