Flaws Found in Using Source Reputation for Training Automatic Misinformation Detection Algorithms

Carol Peters, Rutgers Today, 16 May 2023 via ACM TechNews

Rutgers University scientists found algorithms trained to detect `fake news'
may have a flawed approach for assessing the credibility of online news
stories.  The researchers said most of these programs do not evaluate an
article's credibility, but instead rely on a credibility score for the
article's sources. They rated the credibility and political leaning of 1,000
news articles and incorporated the assessment into misinformation-detection
algorithms, then evaluated the labeling methodology's …

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