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My undergrad thesis: A browser extension for detecting and hiding 2022 Philippine Election-related tweets with hate speech in the form of text on Twitter.

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detoX

The detoX Browser Extension is a tool designed to enhance one's online experience on the Twitter platform by promoting a safer and more respectful digital environment. Specifically tailored for the context of Philippine politics, this extension is engineered to detect and address hate speech in election-related and politics-related content on Twitter.

It makes use of a fine-tuned BERT model, particularly the RoBERTA Tagalog Base variant, which was trained using a dataset containing tweets from the 2016 and 2022 Philippine elections.

You can install the live extension from the Chrome Web Store!

🌐 Relevant Links

🗂️ Datasets Used

🤖 Models

🧰 Browser Extension

  • Chrome Web Store: detoX

💻 Local Setup and Installation

  1. Install the dependencies by running the command npm install.
  2. Generate a production build using the command npm run build. This will create a dist folder containing the necessary files.
  3. Open Google Chrome or any Chromium-based browser, and access the extensions page. In Google Chrome, this can be done by navigating to chrome://extensions/.
  4. Enable Developer mode from the top right corner of the browser window.
  5. Click on Load unpacked.
  6. Select the generated dist folder.
  7. Ensure that the detoX API is up and running.
  8. You can now start using the detoX Browser Extension for Twitter.

🛠️ Built With

Tools used for building the detoX browser extension

💙 Acknowledgements

Name Contribution
🌟 Dr. Mary Jane Rabena Our Thesis Adviser
🌟 Dr. Arlan Dela Cruz Our Thesis Co-Adviser
🌟 Ms. Abijah Louise Dela Cruz Dataset Validator
🌟 Dr. Alma Theresa Manaloto Expert Evaluator
🌟 Dr. Ocirne Jun-Jun Liwanag Expert Evaluator
🌟 Mr. Arvin del Rosario Expert Evaluator
🌟 Mr. John Montes Expert Evaluator
🌟 Mr. Nelson Dizon Expert Evaluator
🌟 Mr. Alberto Castro Jr. Expert Evaluator
🌟 Mr. Blaise Cruz Publisher of the RoBERTa Tagalog Base model and the Hate Speech Filipino Dataset

🧠 Authors

  • 👧 Danica L. Castro
  • 👧 Lenina Jemima V. Dizon
  • 👧 Alliyah Joyce M. Sarip
  • 👦 Mark Aaron P. Soriano

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My undergrad thesis: A browser extension for detecting and hiding 2022 Philippine Election-related tweets with hate speech in the form of text on Twitter.

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