Unsupervised rumor detection based on users’ behaviors using neural networks

• المؤلفون الرئيسيون: Chen, Weiling, Zhang, Yan, Yeo, Chai Kiat, Lau, Chiew Tong, Lee, Bu Sung
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Online Social Networks; Rumor Detection
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/138244

Online social networks have become the hotbeds of many rumors as information can propagate much faster than ever. In order to detect the few but potentially harmful rumors to prevent the public issues they may cause, we propose an unsupervised learning model combining Recurrent Neural Networks and A...