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#DiscourseAnalysis

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DiscourseNet

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

Agustin V. Startari

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)  
#AIethics#LLM#DiscourseAnalysis
Alexander Schniedermann

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.

#ADSK#Sociology#DiscourseAnalysis
DiscourseNet

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.

#DiscourseAnalysis#Polarization
Javier Fernández

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.
Florent Moncomble

🗣️💬 Want to help out two undergrad students with their research project in discourse analysis? Please take a couple of minutes to answer and share this survey. (And please, be kind: this is their first, and English is not their native language)
TW: serial killers
#linguistics @linguistics #discourseanalysis
docs.google.com/forms/d/e/1FAI

Google DocsQuestionnaire on the different discourses surrounding serial killers.We are two 2nd year students of English, and this form aims at assisting us in our research project. The subject is: the discourse surrounding serial killers. No personal data will be collected, and the answers to the questions will be deleted after being used. Nous sommes deux étudiantes de L2 LLCER anglais et ce formulaire a pour but de nous aider dans notre travail d'initiation à la recherche universitaire. Celui-ci a pour sujet : les discours portés sur les tueurs en série. Aucune donnée personnelle ne sera enregistrée et les réponses aux questions seront supprimées après leur exploitation.
DiscourseNet

Our next Open #DiscourseNet Seminar Seminar is going to be tomorrow,
7th March 2025, 1–2 pm (London Time).

Gertrude Grumah (University of Essex) will present a sociolinguistic study of
Mampuli-English Codeswitching in Nalerigu, #Ghana.

For more information see: discourseanalysis.net/DN/semin #DiscourseAnalysis #DiscourseStudies #Sociolinguistics

DiscourseNetOpen DiscourseNet Seminar - monthly online seminar in Discourse Studies | discourseanalysisThe community portal for Discourse Studies
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