Software and Data

1. Asr, F.T., M. Mokhtari and M. Taboada (2023) Fake news collection. A collection of news articles with 'false' and 'true' labels, updated from MisInfoText (see below).
   • Paper describing the data: Fatemeh Torabi Asr, Mehrdad Mokhtari and Maite Taboada, to appear. "Misinformation detection in news text: Automatic methods and data limitations". In Maci, S., M. Demata, M. McGlashan and P. Seargeant (eds.) The Routledge Handbook of Discourse and Disinformation. to appear.
2. Kolhatkar, V., Thain, N., Sorensen, J., Dixon, L., Taboada, M., 2020. C3: The Constructive Comments Corpus. Jigsaw and Simon Fraser University. Dataset. https://www.kaggle.com/mtaboada/c3-constructive-comments-corpus.
   • Paper: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying constructive comments. First Monday. Available on arXiv: https://arxiv.org/abs/2004.05476.
     
3. Asr, F.T. and M. Taboada (2019) MisInfoText. A collection of news articles with 'false' and 'true' labels.
   • Paper: Asr, F. T. and M. Taboada (2019) Big data and quality data for fake news and misinformation detection. Big Data & Society. January-June 2019: 1-14.
4. Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (2018) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Simon Fraser University. https://www.kaggle.com/mtaboada/sfu-opinion-and-comments-corpus-socc.
   • Paper:   Kolhatkar, V.,H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (to appear) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics.
   • GitHub page, with link to download the corpus: https://github.com/sfu-discourse-lab/SOCC

Other software resources are available on our GitHub page.

Previous software available from Maite Taboada's page.