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#DiscourseAnalysis

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If you are interested in #DiscourseAnalysis and how #AI is impacting the #KnowledgeEcononmy, than join us for our early stage research workshop. Our online workshop aims to bring together researchers from a range of disciplines —including linguistics, sociology, political economy, and computer science— to engage in interdisciplinary dialogue about the challenges and transformations brought by the #digitalization of the knowledge economy.

For all necessary information see: discourseanalysisa.net/en/cfa- #Discourse #DiscourseStudies

Are you interested in the study of discourse? Our online seminar on #truth and #critique is open for graduate students and early-career researchers who want to deepen their theoretical understanding of #discourse and to develop their discourse research projects.

In this new cycle of our discussion, which started in fall 2024, we will focus on the question of #power, truth and critique. The core group consists of Irene Ktori, Michael Schmidlehner, Thiago Augusto Pereira, Adel Tayebi, Johannes Angermuller. Members of the group work on ideas such as the discursive construction of technology (Adel), family policies (Irene) truth and #postTruth discourse (Johannes), environment and psychoanalysis (Michael), right-wing book publishers (Thiago).

For more information see: discourseanalysis.net/en/disco #DiscourseStudies #DiscourseAnalysis

Today we had the first day of our biannual DiscourseNet, this time in #Brussels. We had great discussions about discourses and imaginaries of the future, and will still have plenty of keynotes and panels until Thursday. Thank you Jan Zienkowski for organising this amazing event.

discourseanalysis.net/en/dnc6- #DiscourseStudies #DiscourseAnalysis #Imaginaries #DNC6

New article: Ethos Without Source: Algorithmic Identity and the Simulation of Credibility

We examine 1,500 AI-generated texts that simulate authority without traceable sources. Results show synthetic ethos is engineered—not accidental.

🧠 AI in law, health, education: what happens when credibility is coded?

🔗 doi.org/10.5281/zenodo.15700412
🔍 SSRN: papers.ssrn.com/abstract=53133
📁 Figshare: doi.org/10.6084/m9.figshare.29

ZenodoEthos Without Source: Algorithmic Identity and the Simulation of CredibilityGenerative language models increasingly produce texts that simulate authority without a verifiable author or institutional grounding. This paper introduces synthetic ethos: the appearance of credibility constructed by algorithms trained to replicate human-like discourse without any connection to expertise, accountability, or source traceability. Such simulations raise critical risks in high-stakes domains including healthcare, law, and education. We analyze 1500 AI-generated texts produced by large-scale models such as GPT-4, collected from public datasets and benchmark repositories. Using discourse analysis and pattern-based structural classification, we identify recurring linguistic features,such as depersonalized tone, adaptive register, and unreferenced assertions,that collectively produce the illusion of credible voice. In healthcare, for instance, generative models produce diagnostic language without citing medical sources, risking patient misguidance. In legal context, generated recommendations mimic normative authority while lacking any basis in legislation or case law. In education, synthetic essays simulate scholarly argumentation without verifiable references. Our findings demonstrate that synthetic ethos is not an accidental artifact, but an engineered outcome of training objectives aligned with persuasive fluency. We argue that detecting such algorithmic credibility is essential for ethical and epistemically responsible AI deployment. To this end, we propose technical standards for evaluating source traceability and discourse consistency in generative outputs. These metrics can inform regulatory frameworks in AI governance, enabling oversight mechanisms that protect users from misleading forms of simulated authority and mitigate long-term erosion of public trust in institutional knowledge.                 Original article DOI: https://doi.org/10.5281/zenodo.15700412               Additional repository mirrors:               – Figshare: https://doi.org/10.6084/m9.figshare.29367062               – SSRN: (Pending DOI – to be updated upon assignment)  

I am slowly but surely enjoying Reiner Keller's "Sociology of knowledge approach to discourse". I highly appreciate the level of care towards what is identified/extracted and taken for real. However, as with any other sociological framework, the position of the analyst remains problematic.

Even if one masters the analytical practice, communicating it remains problematic, as language must be used to do so. Traditionally, sociologists attempt to find a new form of language, which often becomes increasingly abstract and incomprehensible.

I wonder what the alternative would be: expressing analytical insights in every possible language or discursive logic (which is practically impossible), or at least in those connected to the analysis. Language translation or 'elif' could be examples of this. However, I also consider 'speaking in your terms' when communicating with individuals from different backgrounds.

DiscourseNet Winter School #9 - Transformative #DiscourseStudies. Social and political struggle in a polarised world

We are organising the Winter School #9 that will take place at the Universitat de #València in January 2026. It is aimed at international masters and doctoral students interested in discourse studies from diverse perspectives.

If you want to participate you can find all necessary information here: discourseanalysis.net/en/disco

The deadline for abstract submission is August 31st, 2025.

My new paper is out! I looked into how economic editorials structure their arguments and express opinions. Lots of criticism, subtle emotion, and careful storytelling. Language does a lot of heavy lifting here. #CorpusLinguistics #DiscourseAnalysis

link.springer.com/article/10.1

SpringerLinkDissecting Economic Op-Eds: An Annotation Schema for Editorials in Quality Newspapers - Corpus PragmaticsThis study examines the rhetorical structure and sentiment dynamics of 82 economic opinion editorials authored by prominent commentators. Using a novel annotation schema, we analyze Functional Discourse Units (FDUs), polarity, entities, and opinion holders to uncover the linguistic and rhetorical strategies employed in economic op-eds. The findings reveal a predominance of negative evaluations, highlighting the critical tone characteristic of the genre. Description/Analysis and Context FDUs are the most frequent, reflecting the op-eds’ focus on situating economic issues within broader narratives. Annotation challenges, such as gradation of sentiment and irony, emphasize the complexity of evaluating economic discourse. Despite these challenges, high inter-annotator agreement in key categories supports the robustness of the schema. This study bridges computational linguistics and discourse analysis, offering valuable insights into economic journalism while laying a foundation for future research on evaluative language and sentiment analysis in specialized corpora.