“Climate change” vs. “global warming”: A corpus-assisted discourse analysis of two popular terms in <i>The New York Times</i>

Abstract “Climate change” and “global warming” are two popular terms that may be often used interchangeably in news media. This study proposes to give a corpus-assisted discourse of the representations climate change global warming The New York Times (2000–2019) order examine how they actually newspaper. findings show both similarities differences their associated topics/themes, particular ways framing, perspectivization strategy employed. It is argued large sample articles presents more accurate picture actual use