SINGAPORE: A 17-year-old Raffles Girls' School student, Liu Haohui, has developed a tool to identify whether an article is authentic - something she hopes will help address the"pressing problem" of fake news, she told CNA in an interview on Thursday .
She also realised that her biggest challenge was in finding the right datasets to train the machine learning models so they could identify fake news.Mr Tarn said the dataset that was eventually used to train the predictive model consists of 5,000 authentic Singapore news articles and 1,000 international ones, as well as 6,000 international articles that are fake.
This process took a few days, as the RGS student had to figure out how to implement the above suggestions, cleaning the data and retraining the model.
Congratulations to this inspiring young woman. “I just want to make a contribution to society.' Everyone in our company feels the exact same way. Let us know if you want to use AI powered RPA to bolster your efforts.
Hurray for you might be the 1st contributer on AI for SPG keep up the excellent work 😍😆👪👬✌👍
Ain't the Ministers the ultimate fake news detector?
Will this help Singaporeans evade the torture of Online Falsehoods and Manipulation Act ?
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