This repository is about crawling, pre-processing, and formatting the Fake News Propagation on the Twitter Network.
The dataset is based on the following works.
@inproceedings{liu2015real,
title={Real-time Rumor Debunking on Twitter},
author={Liu, Xiaomo and Nourbakhsh, Armineh and Li, Quanzhi and Fang, Rui and Shah, Sameena},
booktitle={Proceedings of the 24th ACM International on Conference on Information and Knowledge Management},
pages={1867--1870},
year={2015}
}
@inproceedings{ma2016detecting,
title={Detecting Rumors from Microblogs with Recurrent Neural Networks},
author={Ma, Jing and Gao, Wei and Mitra, Prasenjit and Kwon, Sejeong and Jansen, Bernard J. and Wong, Kam-Fai and Meeyoung, Cha},
booktitle={The 25th International Joint Conference on Artificial Intelligence},
pages={3818--3824},
year={2016},
organization={AAAI}
}
@inproceedings{ma2017detect,
title={Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning},
author={Ma, Jing and Gao, Wei and Wong, Kam-Fai},
booktitle={The 55th annual meeting of the Association for Computational Linguistics},
pages={708--717},
year={2017},
organization={Association for Computational Linguistics}
}
The following works use the dataset.
@inproceedings{kim2019homogeneity,
title={Homogeneity-Based Transmissive Process To Model True and False News in Social Networks},
author={Kim, Jooyeon and Kim, Dongkwan and Oh, Alice},
booktitle={Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining},
pages={348--356},
year={2019},
organization={ACM}
}
@inproceedings{kim2022models,
title={Models and Benchmarks for Representation Learning of Partially Observed Subgraphs},
author={Kim, Dongkwan and Jin, Jiho and Ahn, Jaimeen and Oh, Alice},
booktitle={Proceedings of the 31st ACM International Conference on Information and Knowledge Management},
% pages={TBA},
year={2022},
organization={ACM}
}