15th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2026) – 1st Call for Papers

EACL’26, March 24–29, 2026, Rabat, Morocco, Half Day Workshop

Background and Envisaged Scope

Subjectivity and Sentiment Analysis has become a highly developed research area, ranging from binary classification of reviews to the detection of complex emotion structures between entities found in text. This field has expanded both on a practical level, finding numerous successful applications in business, as well as on a theoretical level, allowing researchers to explore more complex research questions related to affective computing. Its continuing importance is also shown by the interest it generates in other disciplines such as Economics, Sociology, Psychology, Marketing, Crisis Management & Digital Humanities, where it can support the study of online interactions, group dynamics, and public discourse.

The aim of WASSA 2026 is to bring together researchers working on Subjectivity, Sentiment Analysis, Emotion Detection and Classification and their applications to other NLP or real-world tasks (e.g. public health messaging, fake news, media impact analysis, social media mining, computational literary studies) and researchers working on interdisciplinary aspects of affect computation from text. We encourage the submission of long and short research and demo papers including, but not restricted to the following topics:

• Resources for subjectivity, sentiment, emotion and social media analysis

• Opinion retrieval, extraction, categorization, aggregation and summarization

• Humor, Irony and Sarcasm detection

• Mis- and disinformation analysis and the role of affective attributes

• Aspect and topic-based sentiment and emotion analysis

• Analysis of stable traits of social media users, incl. personality analysis and profiling

• Transfer learning for domain, language and genre portability of sentiment analysis

• Modelling commonsense knowledge for subjectivity, sentiment or emotion analysis

• Improvement of NLP tasks using subjectivity and/or sentiment analysis

• Intrinsic and extrinsic evaluation of subjectivity and/or sentiment analysis

• Application of theories from related fields to subjectivity and sentiment analysis

• Multimodal emotion detection and classification

• Social Groups analysis and their interactions in Social Media

• Generation, detection, and evaluation of subjectivity, sentiment, and emotion in NLP tasks with LLMs

• Risks, challenges, and ethical implications of affective uses of LLMs

• The role of emotions in argument mining

• Applications of sentiment and emotion mining

• Public sentiments and communication patterns of public health emergencies.

• The analysis of pretrained small and large language models.

Finally, this year we also propose a special track on multilinguality and socio-cultural adaptation to lesser-resourced languages/communities. 

In general, we particularly invite contributions from young researchers, work on low-resource languages, multilingual methods, and interdisciplinary work.

Important dates

• December 17, 2025: Direct submission deadline

• January 2, 2026: ARR submission deadline

• January 23, 2026: Notification of acceptance

• February 3, 2026: Camera Ready Papers due

• March 24–29, 2026: EACL with WASSA workshop on one of the days.

Shared tasks

We do not offer a shared task this year.

Papers

At WASSA 2026, we will accept three types of submissions:

For the regular research track we accept long & short papers.

Additionally, we accept double submissions and double commitment of ARR reviews in parallel to WASSA and another venue. Please note that you must immediately withdraw your paper from WASSA if you decide to publish it elsewhere. Check with the other venue if they also allow double submissions.

Long papers may consist of up to eight (8) pages of content, with any number of additional pages of references. A- subset of these papers will be presented orally.

Short papers may consist of up to four (4) pages of content, with any number of additional pages of references. Most of these papers will be presented as posters.

Also this year there is an industry track, for which we accept demo papers. Demo papers describe system demonstrations, ranging from early prototypes to mature production-ready systems. Commercial sales and marketing activities are not appropriate for this track. Demo papers may consist of up to six (6) pages of content, these will be presented as a poster and should include a live demonstration.

Submission procedure and templates

Submissions without reviews can be done directly through our Open Review side (https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/WASSA).

Authors who received reviews already through the ACL Rolling Review process are invited to commit their reviewed paper to WASSA. To do so, please go to our ARR Website and click on “ACL 2026 Workshop WASSA Commitment Submission”. You will then need to add the title, the URL to the ARR submission with reviews + metareview, and other information.

Both long and short papers must be anonymised for double-blind reviewing, must follow the ACL Author Guidelines, and must use the ACL templates (https://github.com/acl-org/acl-style-files). The submitting author must have an OpenReview profile

Optional Supplementary Materials: Appendices, Software and Data

ARR encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. Supplementary materials may include appendices, software or data. For example, pre processing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into appendices. However, if the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in appendices. Reviewers are not required to consider material in appendices. Appendices should come after the references in the submitted pdf, but do not count towards the page limit. Software should be submitted as a single .tgz or .zip archive, and data as a separate single .tgz or .zip archive. Supplementary materials must be fully anonymized to preserve the two-way anonymized reviewing policy and must not exceed 100MB.

Organizers

-- 
Prof. Dr. Roman Klinger (he/him)
Professor for Fundamentals of Natural Language Processing
Faculty Information Systems and Applied Computer Sciences (WIAI)
Otto-Friedrich-University Bamberg
Office: Room 02.10; Gutenbergstr. 13; 96050 Bamberg; Germany
Phone: +49 951 863 3320
Mail: roman.klinger@uni-bamberg.de
WWW:
https://www.uni-bamberg.de/nlproc/
https://www.romanklinger.de/