@inproceedings{86d464b0272b4d7aa0a7ad09e7ff1380,
title = "Fake News Detection Through Multi-Perspective Speaker Profiles",
abstract = "Automatic fake news detection is an important, yet very challenging topic. Traditional methods using lexical features have only very limited success. This paper proposes a novel method to incorporate speaker profiles into an attention based LSTM model for fake news detection. Speaker profiles contribute to the model in two ways. One is to include them in the attention model. The other includes them as additional input data. By adding speaker profiles such as party affiliation, speaker title, location and credit history, our model outperforms the state-of-the-art method by 14.5\% in accuracy using a benchmark fake news detection dataset. This proves that speaker profiles provide valuable information to validate the credibility of news articles.",
author = "Yunfei Long and Qin Lu and Rong Xiang and Minglei Li and Chu-ren Huang",
note = "Publisher Copyright: {\textcopyright}2017 AFNLP.; 8th International Joint Conference on Natural Language Processing, IJCNLP 2017 ; Conference date: 27-11-2017 Through 01-12-2017",
year = "2017",
language = "English",
series = "8th International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP 2017, System Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "252--256",
editor = "Greg Kondrak and Taro Watanabe",
booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
address = "United States",
}