Methodological Challenges in Estimating Tone: Application to News Coverage of the U.S. Economy
@inproceedings{Barber2016MethodologicalCI,
title={Methodological Challenges in Estimating Tone: Application to News Coverage of the U.S. Economy},
author={P. Barber{\'a} and Amber E. Boydstun and Suzanna Linn and Ryan Mcmahon and J. Nagler},
year={2016}
}Machine learning methods have made possible the classification of large corpora of text by measures such as topic, tone, and ideology. However, even when using dictionary-based methods that require few inputs by the analyst beyond the text itself, many decisions must be made before a measure of any kind is produced from the text. When coding media the analyst must decide on the universe of media sources to sample from, as well as the criteria for selecting articles for coding from within that… CONTINUE READING
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