Filipino-language news classifier
Developed at the University of the Philippines Visayas, FaKe uses a lightweight machine-learning classifier to identify linguistic patterns associated with fake and real Filipino news articles.
Paste the text of a Tagalog or Filipino news article below to obtain a model classification.
FaKe classifies linguistic patterns in Filipino news text. It does not verify individual claims. The free prediction service may need up to two minutes to wake after a period of inactivity.
Analysis complete.
Run FaKe from supported news pages in three steps.
Install the script manager required to run FaKe on your browser.
Download Tampermonkey →Get the latest release from the project repository under the Apache 2.0 license.
Go to releases →Open the Tampermonkey dashboard, create new script, paste code, and save.
See installation guide →FaKe is a research prototype for classifying Filipino-language news. Its source code, deployment model, scripts, and datasets are available in the project repository.