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In the backdrop of the emergence of conspiracy theories (CT)during the critical days of the pandemic, the discourse of online CT goes unchallenged and has become the part of mundane beliefs. The present study investigates the language/discourse of selected CT online newspaper stories related to the COVID 19 pandemic and comparesit with truth-based covid-19 stories. AntConc 3.5.8 (Anthony, 2019) isused as corpus linguistics tool to extract the keywords of the selected newspaper stories, as they are lexical signposts to reveal the most characteristic themes or ‘aboutness’ of the text. A list of keywordsgeneratedfromthe conspiracy corpus includes<China>, <theory>, <conspiracy>, <theories>, <Chinese>, <anti>, >claims>, <wuhan>, <psychological> and <virus>,while the truth-based corpus generated <truth>, <science>, <bullshit>, <posttruth>,<death>, <theory><model> and <covid> as keywords. The keyword list was a handy tool for directing investigators to identify significant lexical differences between both texts and these keywords were further investigated through cluster/N-Grams, concordance and finally for collocates in order to get a more realistic perspective of the keywords generated. Further results showed conspiracy, claims and psychological has co-occurred in the conspiracy corpus and truth and post truth co-occurred in truth-based corpus.