Abstract
By quantifying underlying differences on COVID-19 reporting and examining the predictive power of these patterns to identify the news source, this study can be useful for a number of cases. For example, understanding biases in article text can help the reader understand inherent ideological leanings towards certain news sources. This can help to equip them with greater understanding and critical examination of news consumption. In the same way, it can help readers to be more selective when choosing news sources and reduce their stress impact.
From a policy perspective, greater impact and studies could be done to influence greater transparency6 in reporting across the news companies. This can assist in making informed decisions on which news sources to read or be aware of the bias different sources might have.
Figure 1: Average Weekly Afinninity Sentiment by News Source
Affiliate institution
- New York University