The Coverage and Reception of the Russian-Ukrainian Conflict
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Using AI in qualitative research: Insights from CORECON-piloted analytic protocols
This blogpost is devoted to exemplifying how it is possible to ethically and productively use AI-powered tools in order to enhance analytic protocols for qualitative analyses of media materials. AI-powered enhancements designed for annotating, coding and analyzing textual data are now part of commercial versions of qualitative analysis software packages such as Atlas.ti or NVivo.…
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The Frontiers of Discourse: Media, War, and Identity in Crisis Contexts
The conference entitled Discourse Across Cultures was held at Transilvania University of Brașov on March 21-22, focusing on two key words: discourse and culture. The focus of this event was on cross-cultural discourse patterns, as well as on specific communicative practices within cultures and offered participation opportunities to researchers interested in diverse research areas: linguistics,…
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Outreach: Disseminating CORECON’s preliminary results and involving students and practitioners.
One of CORECON’s prospective lasting impacts is to raise language awareness of war reporting which then enables critical media literacy and to sensitize journalists to some of the traps of click-driven news mediation. Katarzyna Molek-Kozakowska discussed these issues during a recent visit at University of Valencia in Spain. The question of how war is represented…
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Two CORECON presentations during Second Annual FORTHEM Conference.
The Second FORTHEM Conference – Connecting Science and Society – provided a valuable platform for academic exchange on variety of pressing issues. Among the diverse talks, two CORECON presentations explored how war coverage and media representations shape public perceptions and democratic resilience. In one speech, presenters BÂLC Denisa-Maria and TICĂRĂU Iulia-Maria examined the role of…
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The uses of topic modeling in CORECON: Potentials and challenges
Topic modeling is an umbrella term used to denote a host of semi-automated or fully automated corpus linguistic methods that aim to map the content of texts by identifying dominant themes. When driven by an algorithm that is trained in either a supervised or unsupervised manner on a dataset, the method makes it possible to…
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Corpus compilation and data annotation protocols in CORECON
Data collection is the base for any empirical study and corpus analysis is a well-established method used within critical discourse studies. Jędrzej Olejniczak in his blogpost wrote about data collection, management and processing in CORECON. Here I explain the motivations behind methodological choices and our rationales in data collection and data annotation protocols used when…