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Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
Automated classifiers (ACs), often built via supervised machine learning (SML), can categorize large, statistically powerful samples of data ranging from text to images and video, and have become widely popular measurement devices in communication science and related fields.
Measuring Wikipedia Article Quality in One Dimension by Extending ORES with Ordinal Regression
Prior work handles this by assuming that different levels of quality are "evenly spaced" from one another.
Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia
We propose that algorithmic flagging systems deployed to improve the efficiency of moderation work can also make moderation actions more fair to these users by reducing reliance on social signals and making norm violations by everyone else more visible.
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