{"id":28215906,"url":"https://github.com/rifkybujana/fnd","last_synced_at":"2025-06-10T18:31:03.543Z","repository":{"id":46603824,"uuid":"334641105","full_name":"rifkybujana/FND","owner":"rifkybujana","description":"Fake News Detection 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MIT][license-shield]][license-url]\n[![LinkedIn][linkedin-shield]][linkedin-url]\n\n\n\n\u003c!-- PROJECT LOGO --\u003e\n\u003cbr /\u003e\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/rifkybujana/FND\"\u003e\n    \u003cimg src=\"https://i.imgur.com/Wkx9XUI.png\" width=\"180\" height=\"140\"\u003e\n  \u003c/a\u003e\n\n  \u003ch3 align=\"center\"\u003eFND\u003c/h3\u003e\n\n  \u003cp align=\"center\"\u003e\n    Fake News Detection AI\n    \u003cbr /\u003e\n    \u003ca href=\"https://github.com/rifkybujana/FND/issues\"\u003eReport Bug\u003c/a\u003e\n    ·\n    \u003ca href=\"https://github.com/rifkybujana/FND/issues\"\u003eRequest Feature\u003c/a\u003e\n  \u003c/p\u003e\n\u003c/p\u003e\n\n\n\n\u003c!-- TABLE OF CONTENTS --\u003e\n\u003cdetails open=\"open\"\u003e\n  \u003csummary\u003e\u003ch2 style=\"display: inline-block\"\u003eTable of Contents\u003c/h2\u003e\u003c/summary\u003e\n  \u003col\u003e\n    \u003cli\u003e\n      \u003ca href=\"#about-the-project\"\u003eAbout The Project\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#built-with\"\u003eBuilt With\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\n      \u003ca href=\"#getting-started\"\u003eGetting Started\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#installation\"\u003eInstallation\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#usage\"\u003eUsage\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#roadmap\"\u003eRoadmap\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#contributing\"\u003eContributing\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#license\"\u003eLicense\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#contact\"\u003eContact\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#acknowledgements\"\u003eAcknowledgements\u003c/a\u003e\u003c/li\u003e\n  \u003c/ol\u003e\n\u003c/details\u003e\n\n\n\n\u003c!-- ABOUT THE PROJECT --\u003e\n## About The Project\n\nFND is a machine learning project that were made to predict whether a news is fake or not. This project are using IndoBERT model trained by IndoLEM Team and fine-tuned on 3 different indonesian fake news dataset source with total 2220 news. And get 86.7% Validation Accuracy with 0.25 Validation Loss.\n\n[How to use it](#usage)\n\n\n### Built With\n\n* [Streamlit](https://www.streamlit.io/)\n* [Transformers](https://github.com/huggingface/transformers)\n* [Newspaper3k](https://newspaper.readthedocs.io/en/latest/)\n\n\n\n\u003c!-- GETTING STARTED --\u003e\n## Getting Started\n\nTo get a local copy up and running follow these simple steps.\n  \n### Installation\n\n1. Clone the repo\n   ```sh\n   $ git clone https://github.com/rifkybujana/FND.git\n   ```\n   \n2. Install the required package\n   ```sh\n   $ python setup.py install\n   ```\n\n\n\n\u003c!-- USAGE --\u003e\n## Usage\n\n\u003csmall\u003eNote: CLI Support comming soon\u003c/small\u003e\n\n```sh\n$ streamlit run App.py\n```\n\n\n\n\u003c!-- ROADMAP --\u003e\n## Roadmap\n\nSee the [open issues](https://github.com/rifkybujana/FND/issues) for a list of proposed features (and known issues).\n\n\n\n\u003c!-- CONTRIBUTING --\u003e\n## Contributing\n\nContributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.\n\n1. Fork the Project\n2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the Branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n\n\n\u003c!-- LICENSE --\u003e\n## License\n\nDistributed under the GPL-3.0 License. See `LICENSE` for more information.\n\n\n\n\u003c!-- CONTACT --\u003e\n## Contact\n\n* Rifky Bujana Bisri - [@rifkybujanabisri](https://www.instagram.com/rifkybujanabisri/) - rifkybujanabisri@gmail.com\n* Aikyo Dzaki Aroef - [@aikibot](https://www.instagram.com/aikibot/) - aikyodzakiaroef@gmail.com\n\nProject Link: [https://github.com/rifkybujana/FND](https://github.com/rifkybujana/FND)\n\n\n\n## Acknowledgements\n\nSpecial Thanks to Intel, Orbit Future Academy and Indonesian Ministry of Education and Culture for holding AI For Youth Indonesia, because without it we can't make this project real or even we won't know anything about machine learning.\n\n* [kaggle](https://www.kaggle.com/c/fake-news/data)\n* [RAHUTOMO, FAISAL; Yanuar, Inggrid; ANDRIE ASMARA, ROSA (2018), “INDONESIAN HOAX NEWS DETECTION DATASET”, Mendeley Data, V1, doi: 10.17632/p3hfgr5j3m.1](http://dx.doi.org/10.17632/p3hfgr5j3m.1)\n* [Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin](https://indolem.github.io/)\n\n\n\n\n\u003c!-- MARKDOWN LINKS \u0026 IMAGES --\u003e\n\u003c!-- https://www.markdownguide.org/basic-syntax/#reference-style-links --\u003e\n[contributors-shield]: https://img.shields.io/github/contributors/rifkybujana/FND.svg?style=for-the-badge\n[contributors-url]: https://github.com/rifkybujana/FND/graphs/contributors\n[forks-shield]: https://img.shields.io/github/forks/rifkybujana/FND.svg?style=for-the-badge\n[forks-url]: https://github.com/rifkybujana/FND/network/members\n[stars-shield]: https://img.shields.io/github/stars/rifkybujana/FND.svg?style=for-the-badge\n[stars-url]: https://github.com/rifkybujana/FND/stargazers\n[issues-shield]: https://img.shields.io/github/issues/rifkybujana/FND.svg?style=for-the-badge\n[issues-url]: https://github.com/rifkybujana/FND/issues\n[license-shield]: https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge\n[license-url]: ./LICENSE\n[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge\u0026logo=linkedin\u0026colorB=555\n[linkedin-url]: https://linkedin.com/in/rifkybujana\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frifkybujana%2Ffnd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frifkybujana%2Ffnd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frifkybujana%2Ffnd/lists"}