Exploring the surge of negativity during the COVID-19 pandemic: computational text and sentiment analysis across eight newsrooms' tweets.

The rise of Twitter as a news platform has radically changed the way we access, consume, and share news. Twitter becomes an important hub to quickly and easily access accurate information in times of crisis such as COVID-19 and is frequently used in journalism practices. This study examines how the...

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Bibliographic Details

Published in:	Atlantic Journal of Communication Vol. 32; no. 2; pp. 298 - 325
Main Authors:	Kahraman-Gokalp, Elif, Demirel, Sadettin, Gündüz, Uğur
Format:	Article
Published:	Taylor & Francis Ltd 2024
Subjects:	COVID-19 pandemic X Corp. Sentiment analysis Al Jazeera English (Television network) Associated Press Text mining News agencies Sadness Newsrooms
Online Access:	View this record in EBSCOhost