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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Linguistic considerations of field and tenor in articles on climate change: a comparison of broadsheet and tabloid media</dc:title><dc:creator>Pangerl,	Nuša	(Avtor)
	</dc:creator><dc:creator>Plemenitaš,	Katja	(Mentor)
	</dc:creator><dc:subject>qualitative analysis</dc:subject><dc:subject>Systemic Functional Linguistics</dc:subject><dc:subject>tabloids</dc:subject><dc:subject>broadsheets</dc:subject><dc:subject>climate change</dc:subject><dc:description>The master's thesis presents a qualitative analysis of climate-change discourse within the framework of Systemic Functional Linguistics. The study compares the discourse of tabloids and broadsheets; it analyses eight randomly selected climate change articles published in The Guardian and the Daily Mail in 2023. The study focuses on the climate-change entities identified in the articles. Each entity is assigned its respective kind and the type of process it appears in, based on the typology by Martin and Rose (2003), and is marked as a type of appraisal, based on the theory by Martin and White (2005). Additionally, entities are analysed according to their function in phrase structure (i.e., premodification, headword or postmodification). The study shows that broadsheets contain more climate-change entities than tabloids and that both outlets predominantly include abstract technical entities. Moreover, in both outlets, the entities primarily occur in the processes of doing, are mostly marked as negative appreciation, and mainly function as headwords. The results show that in broadsheets, climate-change discourse is more scientific and objective, whereas in tabloids, it is more subjective and less reliable.</dc:description><dc:publisher>N. Pangerl</dc:publisher><dc:date>2026</dc:date><dc:date>2026-05-19 09:18:35</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>98130</dc:identifier><dc:identifier>UDK: 81'27:070:551.583(043.2)</dc:identifier><dc:identifier>COBISS_ID: 280237827</dc:identifier><dc:language>sl</dc:language></metadata>
