Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models

Meiqi Guo
Meiqi Guo
Rebecca Hwa
Rebecca Hwa
Wen-Ting Chung
Wen-Ting Chung

COLING, pp. 4873-4885, 2020.

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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

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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