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News media in crisis: a sentiment and emotion analysis of US news articles on unemployment in the COVID-19 pandemic

Social Work

News media in crisis: a sentiment and emotion analysis of US news articles on unemployment in the COVID-19 pandemic

L. Yu and L. Yang

This study, conducted by Lingli Yu and Ling Yang, explores how the *New York Times* portrayed pandemic-induced unemployment in 2020, revealing a more positive sentiment overall. Dominant emotions of trust and anticipation are evaluated while linking them to the pandemic's progression, policy responses, and racial inequality protests.

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Playback language: English
Abstract
This study uses sentiment, emotion, discourse, and timeline analyses to examine how the *New York Times* represented pandemic-induced unemployment in 2020. The results show significantly more positive than negative sentiment, with "trust" and "anticipation" as the dominant emotions. Discourse analysis links these emotional dynamics to the pandemic's evolution, policy responses, and protests against racial inequality.
Publisher
Humanities & Social Sciences Communications
Published On
Jun 28, 2024
Authors
Lingli Yu, Ling Yang
Tags
sentiment analysis
unemployment
pandemic
New York Times
emotions
discourse analysis
racial inequality
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