# Fake-News-Detection Domain-Specific Fake News Detection ## Installation Instructions 1. Install latest version of CUDA if running on GPU (RECOMMENDED): https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html 2. Install latest version of Python: https://www.python.org/downloads/ 3. Install latest version of Python pip ``curl https://bootst/rap.pypa.io/get-pip.py -o get-pip.py`` ``python get-pip.py`` 4. Install jupyter notebook ``pip install jupyter`` 5. Clone repo locally ``git clone https://github.com/howardt12345/Fake-News-Detection.git`` ### To Run Data Pre-Processing ### WIP ### To Run Classification ### WIP ### To Run Detection ### This will train and test models 1. Navigate to ``Fake-News-Detection/detection/run_detection.ipynb`` 2. Change parameters according to anticipated results 3. Run ``run_detection.ipynb`` and wait for completion 4. View log in category folder to see results, if I run ``politics`` models, I navigate to ``Fake-News-Detection/results/politics`` and find the log file ``training_log_DATE_TIME.log`` To analyze results Note: there must be a valid log file to read from 1. Navigate to ``Fake-News-Detection/detection/result_analysis.ipynb`` 2. Run the notebook and view cell outputs ## Proposed Architecture The fake news detection will have the following stages: 1. Categorization stage: Categorize the input and pass the input to the model trained for the specific domain - https://towardsdatascience.com/topics-per-class-using-bertopic-252314f2640 3. Detection stage: With models trained to detect fake news within a specific domain, detect whether the input is fake news or not ## Potential Datasets - Politics: (both) - [x] LIAR Dataset: Contains statements made by political figures, labeled by their truthfulness. (https://huggingface.co/datasets/liar) - [x] ISOT Dataset (multipurpose dataset) (https://onlineacademiccommunity.uvic.ca/isot/2022/11/27/fake-news-detection-datasets/) - [x] Fake News Dataset (https://www.kaggle.com/competitions/fake-news/data) - [x] PolitiFact Dataset: Includes fact-checks of political statements. (https://www.kaggle.com/datasets/rmisra/politifact-fact-check-dataset) (https://github.com/KaiDMML/FakeNewsNet) - Healthcare and Medicine: (one is enough - choose the larger) - [ ] HealthMisinfo Dataset: Focuses on COVID-19 misinformation in healthcare. (https://trec-health-misinfo.github.io/) - [ ] FakeHealth Dataset: Contains fake health-related articles. (https://github.com/EnyanDai/FakeHealth) - Science and Technology: (one is enough - choose the larger) - [ ] BuzzFeedNews Dataset: Includes news articles from BuzzFeed News. (https://www.kaggle.com/code/sohamohajeri/buzzfeed-news-analysis-and-classification) - [ ] FakeTech: Contains technology-related fake news. - Finance and Stock Markets: (one is enough - choose the larger) - [ ] Stock Market Fake News Dataset: Focuses on news related to stock markets. - [ ] Financial News Dataset: Contains financial news articles. - Entertainment and Celebrity News: (one is enough - choose the larger) - [ ] CelebA Dataset: Contains celebrity images (for image-based fake news). (https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html) - [ ] Entertainment News Dataset: Focuses on entertainment news. - Sports: (one is enough - choose the larger) - [ ] SportFake Dataset: Contains sports-related fake news articles. - [ ] Sports News Dataset: Contains sports news articles. - Environment and Climate Change: (one is enough - choose the larger) - [ ] Climate Change Misinformation Dataset: Focuses on climate change misinformation. (https://huggingface.co/datasets/climate_fever/viewer/default/test?row=0) - [ ] Environmental News Dataset: Contains news related to the environment. - Education: - [ ] Education Misinformation Dataset: Focuses on educational misinformation. - Crime and Security: (FA-KES is important) - [x] Crime News Dataset: Contains news articles related to crime. - [x] FA-KES (https://zenodo.org/record/2607278) - Travel and Tourism: - [ ] Travel Misinformation Dataset: Focuses on travel-related misinformation. - Religion and Spirituality: - [ ] Religion Misinformation Dataset: Contains religious misinformation. (https://data.mendeley.com/datasets/5ykks3psks/5) - Transportation: - [ ] Transportation Misinformation Dataset: Focuses on transportation-related misinformation. - Social Media and Online Discussions: - [x] PHEME (https://figshare.com/articles/dataset/PHEME_rumour_scheme_dataset_journalism_use_case/2068650) - [x] GossipCop (https://github.com/KaiDMML/FakeNewsNet) - [x] Fake News Detection (https://www.kaggle.com/jruvika/fake-news-detection/version/1)

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