FakeFinder: Twitter Fake News Detection on Mobile

被引：4
|
作者：
Tian, Lin [1 ]
Zhang, Xiuzhen [1 ]
Peng, Min [2 ]
机构：
[1] RMIT Univ, Melbourne, Vic, Australia
[2] Wuhan Univ, Wuhan, Peoples R China
来源：
WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020 | 2020年
基金：
澳大利亚研究理事会;
关键词：
Fake news detection; ALBERT; Mobile;
D O I：
10.1145/3366424.3382706
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Misinformation, or fake news, spreads quickly on the social media platform Twitter. Mobile devices are widely used to read Twitter posts. A mobile app that can detect fake news from the live Twitter stream and alert users in real time is an effective way to contain the spread of misinformation on Twitter. Towards this objective, the prediction model needs to be small to achieve fast prediction. In this paper, we design and develop a fake news detection mobile app with a device-based prediction model based on the small language model ALBERT. Experiments show that it can achieve real-time, accurate detection of fake news.
引用
收藏
页码：79 / 80
页数：2
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