Abstract
Drawing upon a corpus approach to metaphor analysis, stance analysis, and Critical Discourse Analysis, the study analyzes different stances taken by the Chinese news outlet Global Times (GT) and the American The New York Times (NYT) in 2020 Coronavirus narratives to Chinese and English readers. The database includes all Coronavirus-related GT and NYT bilingual opinion articles in 2020, that is, 97 pairs from GT and 73 pairs from NYT which are comparable in Chinese and English tokens. Results show that the differences between GT and NYT in narrating the pandemic and the involved parties, that is, China and the US, are statistically significant with a moderate to strong effect size. The Lambda test of association demonstrates that the knowledge of metaphor transfer methods can significantly increase the correctness of attitudinal intensity prediction, which bears out metaphor transfer as a representation of stance mediation.
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