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https://github.com/hritik5102/fake-news-classification-model
✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.
https://github.com/hritik5102/fake-news-classification-model
bert bilstm deep-learning fake-news fake-news-classification fake-news-dataset fake-news-detection glove machine-learning natural-language-processing openai-gpt2 python roberta
Last synced: 14 days ago
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✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.
- Host: GitHub
- URL: https://github.com/hritik5102/fake-news-classification-model
- Owner: hritik5102
- License: mit
- Created: 2020-11-27T12:21:42.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-04-16T15:35:49.000Z (over 1 year ago)
- Last Synced: 2024-10-04T21:54:13.054Z (about 1 month ago)
- Topics: bert, bilstm, deep-learning, fake-news, fake-news-classification, fake-news-dataset, fake-news-detection, glove, machine-learning, natural-language-processing, openai-gpt2, python, roberta
- Language: Jupyter Notebook
- Homepage:
- Size: 125 MB
- Stars: 36
- Watchers: 2
- Forks: 8
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
## Fake-news-classification-model   
  [](https://gitpod.io/#https://github.com/hritik5102/Fake-news-classification-model) 
  
[](https://github.com/hritik5102/Fake-news-classification-model/blob/master/CONTRIBUTING.md)
[](https://www.paypal.me/AvsarJaiswal/100)
[](#contributors-)
# Table of Contents
- [Table of Contents](#table-of-contents)
- [Introduction](#introduction)
- [News Cateogries](#news-cateogries)
- [Architecture](#architecture)
- [System interface design](#system-interface-design)
- [Poster](#poster)
- [Demo-video](#demo-video)
- [Tech stack](#tech-stack)
- [Project Deliverables](#project-deliverables)
- [Installation](#installation)
- [Prerequisites](#prerequisites)
- [How to run the app?](#how-to-run-the-app)
- [How to stop the Deep learning model servers?](#how-to-stop-the-deep-learning-model-servers)
- [Google colab notebook](#google-colab-notebook)
- [Acknowledgement](#acknowledgement)
- [Support me](#support-me)
- [Roadmap](#roadmap)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
- [Contributors](#contributors)
## Introduction
[(Back to Top)](#table-of-contents)
Fake news is playing an increasingly dominant role in spreading misinformation by influencing people’s perceptions or knowledge to distort their awareness and decision-making.
The growth of social media and online forums has spurred the spread of fake news causing it to easily blend with truthful information.
This study provides a novel text analytics–driven approach to fake news detection for reducing the risks posed by fake news consumption.
## News Cateogries
[(Back to Top)](#table-of-contents)
| No. | Content | Discription |
| :-: | :-------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| 1 | **Fake news** | `Fake News` - Sources that entirely fabricate information, disseminate deceptive content, or grossly distort actual news reports,aim of damaging the reputation of a person or entity, or making money through advertising revenue |
| 2 | **Satire** | `Satire` - Sources that use humor, irony, exaggeration, ridicule, and false information to comment on current events, providing fake insights about an on-going real news event. |
| 3 | **Bias** | `Extreme Bias` - Sources that come from a particular point of view and may rely on propaganda, decontextualized information, and opinions distorted as facts. |
| 4 | **Conspiracy Theories** | `Conspiracy Theory` - is an explanation or interpretation of events that is based on questionable or nonexistent evidence, which are almost always completely fabricated, even if individual elements of the theories contain nuggets of fact -- can be presented as fake news when they are packaged as factual news stories. |
| 5 | **Rumor** | `Rumor` - Sources that traffic in rumors, gossip, innuendo, and unverified claims, statement consisting of unverified pieces of information at the time of posting |
| 6 | **State** | `State News` - Sources in repressive states operating under government sanction. |
| 7 | **Junk science** | `Junk Science` - Sources that promote pseudoscience, metaphysics, naturalistic fallacies, and other scientifically dubious claims. |
| 8 | **Hate** | `Hate News` - Sources that actively promote racism (based on something such as religion, ethnicity, nationality, sexual orientation), misogyny, homophobia, and other forms of discrimination. |
| 9 | **Clickbait** | `Clickbait` - Sources that provide generally credible content, but use exaggerated, misleading, or questionable headlines, social media descriptions, and/or images. |
| 10 | **Unreliable** | `Unreliable` - Proceed With Caution, Sources that may be reliable but whose contents require further verification. |
| 11 | **Political** | `Political` - Sources that provide generally verifiable information in support of certain points of view or political orientations. |
| 12 | **Reliable** | `Credible` - Sources that circulate news and information in a manner consistent with traditional and ethical practices in journalism (Remember: even credible sources sometimes rely on clickbait-style headlines or occasionally make mistakes. No news organization is perfect, which is why a healthy news diet consists of multiple sources of information). |
| 13 | **Celebrity** | `Celebrity` - Celebrity/Gossip magazines (sometimes referred to as tabloid magazines) are magazines that feature scandalous stories about the personal lives of celebrities and other well-known individuals. |
| 14 | **Hoax** | `Hoax` - is a news containing facts that are either inaccurate or false but which are presented as genuine. A hoax news conveys a half-truth used deliberately to mislead the public. |
| 15 | **Unknown** | `Unknown` - is a sources that have not yet been analyzed (many of these were suggested by readers/users or are found on other lists and resources). Help us expand our resource by providing us information! |
| 16 | **Propaganda** | `Propaganda` - is the spreading of rumors, information which is often inaccurate and especially of a biased or misleading nature, used to promote a political cause or point of view. |
| 18 | **Misinformation** | `Misinformation` - is false, inaccurate, or misleading information that is communicated regardless of an intention to deceive. Examples of misinformation are false rumors, insults, and pranks. |
| 19 | **Poor Sourcing** | `Poor Sourcing` - is the out-of-context information that does not on its own constitute fake news. This kind of information is not wholly fabricated, and it can exist within a news report that is based on actual events that occurred but does not have the proper evidence for it. |
| 20 | **Lack of Transparency** | `Lack of Transparency` - is the out-of-context information that does not on its own constitute fake news. This kind of information is not wholly fabricated, and it can exist within a news report that is based on actual events that occurred but does not have the proper evidence for it. |
| 21 | **False Information** | `False Information` - Sources that entirely fabricate information, disseminate deceptive content, or grossly distort actual news reports,aim of damaging the reputation of a person or entity, or making money through advertising revenue |
| 22 | **Sensationalism** | `Sensationalism` - In journalism (and more specifically, the mass media), sensationalism is a type of editorial tactic. Events and topics in news stories are selected and worded to excite the greatest number of readers and viewers. |
| 23 | **Plagarism** | `Plagiarism` is the representation of another author's language, thoughts, ideas, or expressions as one's own original work. Plagiarism is considered a violation of integrity and a breach of journalistic ethics. |
## Architecture
[(Back to Top)](#table-of-contents)
## System interface design
[(Back to Top)](#table-of-contents)
## Poster
[(Back to Top)](#table-of-contents)
Poster-01
Poster-02
## Demo-video
[(Back to Top)](#table-of-contents)
## Tech stack
[(Back to Top)](#table-of-contents)
1. **Programming Language** : Python
2. **Frontend** : Streamlit
3. **API** : VirusTotal API
4. **Platform** : Colab notebook, Jupyter notebook, Visual studio code
5. **Testing tool** : Apache Jmeter, Google PageSpeed insights, Selenium
6. **Machine learning Library** : Tensorflow, PyTorch, Keras, Huggingface transformers, simpletransformers
7. **Web framework** : Flask
8. **WSGI server** : Gunicorn
9. **Web server** : Nginx
10. **Cloud infrastructure support**: AWS EC2 instance, AWS secret manager
11. **Containerization/deployment**: Docker
## Project Deliverables
[(Back to Top)](#table-of-contents)
The [Project Deliverables](https://drive.google.com/file/d/1Tm0H7ytr_JyLz3nu2DrOFcWIIYX2WJxJ/view?usp=sharing) includes detailed documentation of the project, including `Software Requirement Specifications (SRS)`, `Software Project Management Plan (SPMP)`, `Software Design Description (SDD)`, `Software Testing Document (STD)`, `Implementation details`, and `Result and conclusion`.
## Installation
[(Back to Top)](#table-of-contents)
**Clone git repository**
```sh
$ git clone "https://github.com/hritik5102/Fake-news-classification-model"
```
## Prerequisites
[(Back to Top)](#table-of-contents)
Run the setup file on git bash or any linux terminal:
```sh
$ bash setup.sh
```
### How to run the app?
Run the following commands:
1. ```bash start-server.sh ``` on git bash or any linux terminal
This will start the deep learning model servers.
2. ```cd src```
3. ```streamlit run app.py```
### How to stop the Deep learning model servers?
run ```bash stop-server.sh``` on git bash or any linux terminal
## Google colab notebook
[(Back to Top)](#table-of-contents)
| Filename | Notebook |
| ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **GPT2 Model** | [](https://colab.research.google.com/github/hritik5102/Fake-news-classification-model/blob/main/Models/GPT2_Model/notebook/GPT2_model.ipynb) |
| **BiLSTM + GloVe Model** | [](https://colab.research.google.com/github/hritik5102/Fake-news-classification-model/blob/main/Models/Bidirectional_LSTM_Glove/notebook/Fake_News_Detection_GloVe.ipynb) |
| **BERT Model** | [](https://colab.research.google.com/github/hritik5102/Fake-news-classification-model/blob/main/Models/BERT_Fake_News_Classification/notebook/Bert_model.ipynb) |
| **Roberta Model** | [](https://colab.research.google.com/github/hritik5102/Fake-news-classification-model/blob/main/Models/Roberta_Model/notebook/Roberta_model.ipynb) |
## Acknowledgement
[(Back to Top)](#table-of-contents)
Some resources have been used to build this project, so I'd like to acknowledge the resources in the [reference](reference.md) section. Take a look.
If you think that I've referred any piece of code or material but have not acknowledged it. Please create an issue mentioning the site info & a link pointing to that material.
## Support me
[(Back to Top)](#table-of-contents)
[](https://www.buymeacoffee.com/hritikdj)
## Roadmap
[(Back to Top)](#table-of-contents)
See the [open issues](https://github.com/hritik5102/Fake-news-classification-model/issues) for a list of proposed features (and known issues).
## Contributing
[(Back to Top)](#table-of-contents)
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
Make sure your changes don't break existing functionality without `good reason`.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
Discuss the features, ideas you want to add to the project from [here 📌](https://github.com/hritik5102/Fake-news-classification-model/discussions)
## License
[(Back to Top)](#table-of-contents)
Distributed under the [MIT License](LICENSE). See LICENSE for more information.
## Contact
[(Back to Top)](#table-of-contents)
| No. | Name | Twitter handle 🐦 | Email 📩 |
| :-: | :-------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :----: |
|1. | Heet sakaria |[@HeetSakaria](https://twitter.com/HeetSakaria)|[[email protected]](mailto:[email protected])|
|2. | Hritik Jaiswal |[@imhritik_dj](https://twitter.com/imhritik_dj)|[[email protected]](mailto:[email protected])|
**Project Link** - [hritik5102/Fake-news-classification-model (github.com)](https://github.com/hritik5102/Fake-news-classification-model)
## Contributors
[(Back to Top)](#table-of-contents)
Thanks goes to these wonderful people 👏👏
Heet Sakaria
💻 🤔📖🖋
vedangparasnis
💻📖
Viraj Thakkar
📖
```bash
_____ _ _ __ __
|_ _| | | | \ \ / /
| | | |__ __ _ _ __ | | __ \ V /___ _ _
| | | '_ \ / _` | '_ \| |/ / \ // _ \| | | |
| | | | | | (_| | | | | < | | (_) | |_| |
\_/ |_| |_|\__,_|_| |_|_|\_\ \_/\___/ \__,_|
```
[(Back to Top)](#table-of-contents)
