It is clear that media advertising is one of the crucial marketing tools for companies in order to promote their products and services. As we are moving towards more and more economic integration, both on a regional and global scale, the question about standardisation of media advertising has become increasingly important and is nowadays subject to discussion in most international companies. This thesis deals with the issue of standardisation in a region where the process of political, legal and especially economic integration is taking its course, but where cultural and linguistic diversity is still a remaining fact: Europe. The aim of this thesis was to investigate the potential gains from a standardised advertising approach but also to identify its limitations. Especially on a market place like Europe, with its diverse cultural and linguistic background, a fully standardised approach might be difficult to implement.

This study explores Sweden's climate change denial by analyzing the spoken-word discourse of its countermovement, focusing on digital media content from Swedish parliament member Elsa Widding with an aim to provide empirical insights into the discourse of Sweden's Climate Change Countermovement (CCCM). Questions guiding this study are: What are the most prevalent topics and themes related to climate change denial and skepticism? How do they align with established categories of climate change denial, shaping the overall narrative? What mobilizing ideas and meanings are present, how are they shaped, and how do they contribute to the movement's goals? The material consists of Elsa Widding's complete audio-based "movement texts'' from 2019-2023, including YouTube content, podcasts, and appearances on Riks, totaling over 2000 minutes of audio transcribed into text via AI technology. Methodologically, this study adopts a mixed-method approach which blends computational pattern detection, topic modeling, Clustering, and spatial relationship mapping techniques, along with qualitative content and framing analysis. Theoretically, the study employs a perspective which uses epistemic and response skepticism to examine climate change denial, viewing it through the lens of countermovements and social movement framing. The study's main contribution lies in the enablement of comprehensive analysis of a large audio-based dataset, achieved by leveraging recent AI advancements for reliable audio-to-text conversion combined with topic modeling.