Using BERT to Study Semantic Variations of Climate Change Keywords in Danish News Articles

Florian Maximilian Meier

Using BERT to Study Semantic Variations of Climate Change Keywords in Danish News Articles

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Abstract

The terms greenhouse effect, global warming, and climate change are often used synonymously in everyday conversations about the warming planet. Utilizing Danish BERT, the study employs masked language model tasks to uncover semantic shifts and variations of these climate change-related keywords in Danish news articles from 1990 to 2021. The findings offer insights into contextual understandings and
framing nuances by journalists, contributing to a deeper comprehension of these terms in the Danish media discourse on CC.

Original language	English
Title of host publication	Poster @ DHNB 2024 Digital Humanities in the Nordic and Baltic Countries 8th Conference
Publication date	2024
Publication status	Published - 2024

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abstract = "The terms greenhouse effect, global warming, and climate change are often used synonymously in everyday conversations about the warming planet. Utilizing Danish BERT, the study employs masked language model tasks to uncover semantic shifts and variations of these climate change-related keywords in Danish news articles from 1990 to 2021. The findings offer insights into contextual understandings andframing nuances by journalists, contributing to a deeper comprehension of these terms in the Danish media discourse on CC.",

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Using BERT to Study Semantic Variations of Climate Change Keywords in Danish News Articles

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