This study explores the evolution of discourse surrounding Donald Trump as depicted in The Washington Post, and examines potential biases in the newspaper's articles across two distinct periods: 2015-2017, from when Trump announced his candidacy for the 2016 presidential election until his inauguration, and 2022-2024, from when he announced his candidacy for the 2024 election until the data collection date. Using corpus-assisted discourse analysis, the study investigates keywords and their collocating adjectival modifiers within the two corpora to reveal patterns in the discourse and potential bias around Trump. The results show that during the 2015-2017 period, the discourse predominantly centered on Trump's rivalry with Hillary Clinton, characterized by personal attacks and recurring themes of corruption, authoritarianism, and widespread protests against his presidency. In contrast, the 2022-2024 period's discourse focused more on Trump's legal challenges, particularly regarding the mishandling of classified information and doubts about electoral integrity, indicating a shift in discourse. The findings do not explicitly demonstrate bias towards Trump. However, the discussion highlights the potential for bias to subtly manifest itself through language choices, issue framing, and narrative selection.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-67734 |
| Date | January 2024 |
| Creators | Alm, Beatrice |
| Publisher | Mälardalens universitet, Akademin för utbildning, kultur och kommunikation |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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