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Sentiment and emotion in financial journalism: a corpus-based, cross-linguistic analysis of the effects of COVID

Economics

Sentiment and emotion in financial journalism: a corpus-based, cross-linguistic analysis of the effects of COVID

C. Vargas-sierra and M. Á. Orts

This study explores the dramatic shift in language within financial newspapers during the COVID-19 crisis, examining both English and Spanish publications from 2018-2021. Conducted by Chelo Vargas-Sierra and M. Ángeles Orts, the research unveils how sentiment and emotion transformed amidst economic upheaval.

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Playback language: English
Abstract
This study investigates the impact of the COVID-19 crisis on the language used in financial newspapers, comparing English and Spanish publications from 2018-2019 (pre-COVID) and 2020-2021 (pandemic periods). Using corpora from *The Economist* and *Expansión*, the researchers analyzed sentiment and emotion using lexically polarized words and the CNN Business Fear and Greed Index. The analysis aimed to understand how the economic upheaval was conveyed and how sentiment and emotion changed over time.
Publisher
Humanities and Social Sciences Communications
Published On
May 09, 2023
Authors
Chelo Vargas-Sierra, M. Ángeles Orts
Tags
COVID-19
language analysis
financial newspapers
sentiment
emotions
English
Spanish
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