
This study focuses on the relationship between media ownership, discourse, and language use through the combined frameworks of Critical Discourse Analysis (CDA) and Corpus-Assisted Discourse Studies (CADS). It argues that ownership structures constitute a key mechanism through which power is exercised and reproduced in the media, shaping ideological boundaries and influencing the linguistic construction of social realities. By linking macro-level ownership dynamics with micro-level linguistic choices, the research demonstrates how concentrated ownership influences the discursive environment, constraining journalistic autonomy and reinforcing hegemonic narratives. The Hungarian media landscape, illustrated through Index’s reporting on Budapest Pride, exemplifies how such dynamics manifest in practice: under right-leaning ownership, the outlet’s discourse subtly shifted toward moralised and politicised framings while reducing identity-based representations. These findings highlight how language operates as a site of ideological negotiation, showing that critical engagement with ownership and discourse is vital to understanding the erosion of pluralism and the reshaping of democratic communication.
corpus-assisted discourse studies, critical discourse analysis
corpus-assisted discourse studies, critical discourse analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
