Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
COLING, pp. 4873-4885, 2020.
We investigate the impact of political ideology biases in training data. Through a set of comparison studies, we examine the propagation of biases in several widely-used NLP models and its effect on the overall retrieval accuracy. Our work highlights the susceptibility of large, complex models to propagating the biases from human-select...More
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