Recent searches

No recent searches

Search options

Only available when logged in.
mstdn.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A general-purpose Mastodon server with a 500 character limit. All languages are welcome.

Administered by:

Server stats:

11K
active users

mstdn.social: AboutStatusProfiles directoryPrivacy policyTerms of service

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.4.1

#DiscourseAnalysis

0 posts0 participants0 posts today
Agustin V. Startari<p>📘 New Article Published: Grammar Without Judgment<br>Author: Agustín V. Startari<br>DOI: <a href="https://doi.org/10.5281/zenodo.15783365" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.5281/zenodo.15783365</span><span class="invisible"></span></a><br>Series: Grammars of Power<br>Published: July 3, 2025</p><p>🔗 Read on Zenodo: <a href="https://doi.org/10.5281/zenodo.15783365" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.5281/zenodo.15783365</span><span class="invisible"></span></a><br>🗂 Mirror on SSRN: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5334549" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">papers.ssrn.com/sol3/papers.cf</span><span class="invisible">m?abstract_id=5334549</span></a><br>🖥 Author site: <a href="https://www.agustinvstartari.com" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">agustinvstartari.com</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/AIethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIethics</span></a> <a href="https://mastodon.social/tags/FormalGrammar" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FormalGrammar</span></a> <a href="https://mastodon.social/tags/ExecutablePower" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExecutablePower</span></a> <a href="https://mastodon.social/tags/HumanitiesCommons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanitiesCommons</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Judgment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Judgment</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/Accountability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Accountability</span></a> <a href="https://mastodon.social/tags/PostReferentialAuthority" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PostReferentialAuthority</span></a> <a href="https://mastodon.social/tags/Linguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linguistics</span></a> <br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <br><a href="https://mastodon.social/tags/CriticalTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CriticalTheory</span></a> <a href="https://mastodon.social/tags/agustinvstartari" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agustinvstartari</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/DiscourseAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiscourseAnalysis</span></a></p>
DiscourseNet<p>Our DiscourseNet Congress comes to an end with the DN Open Meeting. We had great presentations, discussions and chats during the social activities. Many thanks to the organisers around Jan Zienkowski, the <span class="h-card" translate="no"><a href="https://mastodon.online/@ULBruxelles" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ULBruxelles</span></a></span>, who hosted our event, and of course all the participants. ♥️ <a href="https://fediscience.org/tags/DiscourseAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiscourseAnalysis</span></a> <a href="https://fediscience.org/tags/DiscourseStudies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiscourseStudies</span></a> <a href="https://fediscience.org/tags/DNC6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DNC6</span></a></p>
DiscourseNet<p>Karol Franczak the discursive construction of <a href="https://fediscience.org/tags/fear" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fear</span></a> in the face of the Russian <a href="https://fediscience.org/tags/war" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>war</span></a> against Ukraine. <a href="https://fediscience.org/tags/DiscourseAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiscourseAnalysis</span></a> <a href="https://fediscience.org/tags/DNC6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DNC6</span></a></p>
DiscourseNet<p>Adeliya Bissenbayeva presenter on the manulipative rethorical strategies of Vladimir <a href="https://fediscience.org/tags/Putin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Putin</span></a>. <a href="https://fediscience.org/tags/DiscourseAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiscourseAnalysis</span></a> <a href="https://fediscience.org/tags/DNC6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DNC6</span></a> <a href="https://fediscience.org/tags/war" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>war</span></a></p>
DiscourseNet<p>Interesting presentation from Adel Tayebi from Paris on the representation of AI in AI companies' YouTube channels, for instance the ascription of agency to the AI models. <a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fediscience.org/tags/DiscourseAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DiscourseAnalysis</span></a> <a href="https://fediscience.org/tags/DNC6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DNC6</span></a></p>
*
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.
TrendingLive feeds
About