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COVID-19 related TV news and stock returns: Evidence from major US TV stations
We investigate a novel dataset of more than half a million 15 seconds transcribed audio snippets containing COVID-19 mentions from major US TV stations throughout 2020. Using the Latent Dirichlet Allocation (LDA), an unsupervised machine learning algorithm, we identify seven COVID-19 related topics...
Autores principales: | Möller, Rouven, Reichmann, Doron |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Board of Trustees of the University of Illinois. Published by Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721134/ https://www.ncbi.nlm.nih.gov/pubmed/36506906 http://dx.doi.org/10.1016/j.qref.2022.11.007 |
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