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++ CFP: LAST CHANCE TO SUBMIT ++
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The 1st International Workshop on Implicit Author Characterization from Texts for Search
and Retrieval (IACT’23)
The workshop will be held in conjunction with the 46th International ACM SIGIR Conference
on Research and Development in Information Retrieval.
Workshop website:
https://en.sce.ac.il/news/iact23
Date: July 27, 2023
Location: Taipei, Taiwan.
Paper submission deadline: Extended to May 23, 2023, AoE
Submission link:
https://easychair.org/conferences/?conf=iact23
To bring the research community's attention to the limitations of current models in
recognizing and characterizing AI vs. human authors, we organize the first edition of IACT
workshops under the umbrella of the SIGIR conference. Research works submitted to the
workshop should foster scientific advances in all aspects of author characterization.
Submission Guidelines:
All papers must be original and not simultaneously submitted to another journal or
conference. The following paper categories are welcome:
- Full research papers: up to 8 pages. Original and high-quality unpublished
contributions to the theory and practical aspects of the workshop topics.
- Short research papers: up to 5 pages. It can describe ongoing research, resources,
and demos.
- Negative results papers: up to 5 pages. Highlighting tested hypotheses that did not
get the expected outcome is also welcomed.
- Position papers: up to 5 pages. Discussing current and future research directions.
The length constraints do not include references.
The submissions must be anonymous and will be peer-reviewed by at least two program
committee members.
Workshop Format:
The authors of accepted papers will be given 15 minutes for a short oral presentation.
The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR
format.
Workshop Topics:
Research works submitted to the workshop should foster the scientific advance on all
aspects of implicit author information extraction from text, including but not limited to
the following:
- Differentiation between AI-generated content and human-generated content and bot
profiling
- Characterization of conversational agents
- Feature detection of authors for human vs. AI determination
- Prompt understanding and recognition in language models
- Personalized question-answering and conversation generation
- Troll identification on social media
- Review authenticity estimation
- Multi-modal, multi-genre, and multilingual author analysis
- Character analysis, description, and representation in narrative texts
- Detecting implicit expressions of sentiment, emotion, opinion, and bias
- Transfer learning for implicit author characterization
- Implicit author characterization annotation schema
- Evaluation of implicit author characterization
- Author characterization in low-resource languages and under-studied domains
- Accountability and regulation of AI-based information extraction, retrieval, and
content generation
- Copyright issues of AI-generated content
- Ethical and privacy implications of author characterization and implicit information
extraction
- Fairness and bias of AI-generated content
Organizing Committee:
Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva;
Israel
Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel
Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto, Portugal
Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar INESC TEC,
Portugal; Porto, Portugal
Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck; Innsbruck, Austria
Invited Speakers:
Prof. Mark Last - Ben-Gurion University of the Negev, Israel
Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany
Contacts:
Dr. Marina Litvak: litvak.marina(a)gmail.com
Dr. Irina Rabaev: irinar(a)ac.sce.ac.il
All the best,
Hugo Sousa on behalf of the IATC'23 Organizers