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Abstract This study aims to analyse the different speech acts of praise one year before the results of the second term elections came out for the former US president, Donald Trump (January 20, 2017 – January 20, 2021, when he was in office), the former British prime minister, Theresa May (July 13, 2016 – July 24, 2019, when she was in office), and the Canadian prime minister, Justin Trudeau (November 4, 2015 – present). The aim of this study is to analyse the different lexical items such as adjectives, nouns, adverbs, and pronouns, contexts, topics, objects, and functions of the speech acts of praise which occurred in their social media public statements within the mentioned time frame. The corpus of this research included 206 speech acts of praise which were delivered by the mentioned leaders. The analytical framework which was adopted in this research is the pragmatic approach, and the speech act of praise model was used to analyse the data in this study. In addition to this, the frequency of occurrence of the different lexical items used by the three political leaders was investigated by using the corpus software AntConc (3.5.8). It was found that the three leaders used similar lexical items such as adjectives, nouns, adverbs and first-person pronouns. Moreover, it was found that the three leaders delivered their speech acts of praise within different contexts and that the self-praise speech acts were mostly delivered within the “campaigning for the elections” context. Also, the brag statement type of self-praise was performed by the three leaders more than the evidential and proxy types of self-praise. keywords: speech acts, praise, compliment, self-praise, pragmatics, corpus linguistics, politics, social media |