37.811, Confs: 1st Workshop on Centering Social Perception in Natural Language Processing at ICWSM 2026 (USA)

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LINGUIST List: Vol-37-811. Fri Feb 27 2026. ISSN: 1069 - 4875.

Subject: 37.811, Confs: 1st Workshop on Centering Social Perception in Natural Language Processing at ICWSM 2026 (USA)

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================================================================


Date: 25-Feb-2026
From: Hongyu Chen [hongyu.chen at iris.uni-stuttgart.de]
Subject: 1st Workshop on Centering Social Perception in Natural Language Processing at ICWSM 2026


1st Workshop on Centering Social Perception in Natural Language
Processing at ICWSM 2026
Short Title: NLPercep 2026

Date: 26-May-2026 - 26-May-2026
Location: Los Angeles, USA
Meeting URL: https://nlpercep.github.io/workshop/

Linguistic Field(s): Computational Linguistics; Psycholinguistics;
Sociolinguistics; Text/Corpus Linguistics
Subject Language(s): English (eng)

Submission Deadline: 10-Mar-2026

The First Workshop on Centering Social Perception in Natural Language
Processing  (NLPercep’26) will be co-located with the International
AAAI Conference on Web and Social Media (ICWSM’26) and will take place
on Tuesday, May 26, 2026 in Los Angeles, California, USA.
Deadline for paper submission: March 10, 2026
Social perception plays a central role in how language is interpreted:
readers form impressions about intent, politeness, credibility,
identity, and more from subtle linguistic cues. However, most NLP
systems model these phenomena using surface-level proxies (e.g., fixed
labels for “toxicity,” “politeness,” or “demographic information”),
often treating socially grounded judgments as fixed properties of
text. As a result, they can blur the distinction between what a text
is intended to convey and how it is perceived in context, limiting our
ability to build systems that reflect how people interpret language
across contexts and communities.
NLPercep’26 aims to bridge this gap by bringing together researchers
from NLP, computational social science, sociolinguistics, psychology,
and related fields to study how language is perceived and not just
what it encodes. The workshop places particular emphasis on the role
of social perception in the era of large language models (LLMs) and
evolving communication norms.
We invite interdisciplinary contributions that advance theoretical
grounding, computational modeling, and empirical understanding of
social perception in language. We welcome submissions on topics
including, but not restricted to, the following:
 - self-perception, identity, and self-expression in language;
 - social group perception, stereotypes, and bias;
 - sociolinguistic perception and language attitude;
 - social norms, moral values, and evaluative judgments;
 - computational and NLP approaches to social perception;
 - large language models (LLMs) and social perception.
Submission Types:
We invite the following types of submissions:
Archival:
 - Long papers (5 to 8 pages) that present original research, from
preliminary findings to established contributions, including theory,
experiments, or applications.
 - Short papers (up to 4 pages) that introduce emerging ideas, work in
progress, or early-stage research with clear significance.
Non-archival:
 - Extended Abstracts (up to 2 pages)that present ongoing work,
position papers, previously published work, or research projects.
Abstracts can be submitted either for inclusion in the proceedings
(archival) or as non-archival contributions.
Format
All papers must follow the AAAI two-column, camera-ready style, for US
Letter (8.5" x 11") paper (available templates: AAAI 2025 Author Kit
on Overleaf or AAAI 2025 Author Kit.zip [Word and LaTeX]). The review
process will be double-blind. Please anonymize your papers by removing
identifying information such as author names, affiliations, and
funding details.
Important Dates:
Paper submission deadline: March 10, 2026
Notification of acceptance: April 15, 2026
Camera ready: May 15, 2026
NLPercep Workshop day: May 26, 2026
Note: All deadlines are 11:59 pm UTC -12h (anywhere on earth).
Organizers:
Hongyu Chen, University of Stuttgart
Aswathy Velutharambath, University of Stuttgart
Amelie Wührl, IT University of Copenhagen
Sofie Labat, Ghent University, Harvard University
Lindsay Goolsby, University of Denver
Aidan Combs, The Ohio State University
Agnieszka Faleńska, University of Stuttgart
Roman Klinger, University of Bamberg
Website and Contact:
For further information and updates, visit the NLPercep website:
https://nlpercep.github.io/workshop/
If you have any questions, please contact:
nlpercep-workshop at iris.uni-stuttgart.de



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