Probabilistic Text Matching: Method and Application to the Study of Media Bias in the U.S.

• In Event: Text as Data

Brief Overview

This paper proposes probabilistic text matching, a novel method to estimate quantities of interest conditional on underlying characteristics of text data that are unavailable absent large-scale hand-coding, and applies it to the study of media bias.

Author

• Yimeng Li, Florida State University