Meta and TikTok let harmful content rise after evidence outrage drove engagement, say whistleblowers
Whistleblowers have given an inside view of the algorithm arms race which followed TikTok's explosive growth Social media giants made decisions which allowed more harmful content on people's feeds, ...
Abstract: In view of the abundance of movie reviews of varying quality available on movie review websites, current selection algorithms are ineffective, leading to ‘information overload.’ This study ...
Abstract: High-dimensional feature selection is a difficult issue in medical field, while the class imbalance problem existing in medical data can also seriously affect the classification performance ...
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