34.576, Calls: Computational Linguistics, Discourse Analysis, Forensic Linguistics, Semantics, Text/Corpus Linguistics/Austria
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Wed Feb 15 10:25:57 UTC 2023
LINGUIST List: Vol-34-576. Wed Feb 15 2023. ISSN: 1069 - 4875.
Subject: 34.576, Calls: Computational Linguistics, Discourse Analysis, Forensic Linguistics, Semantics, Text/Corpus Linguistics/Austria
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Date: Wed, 15 Feb 2023 10:25:20
From: Melanie Siegel [melanie.siegel at h-da.de]
Subject: 1st International Workshop on Disinformation and Toxic Content Analysis
Full Title: 1st International Workshop on Disinformation and Toxic Content Analysis
Short Title: DiTox 2023
Date: 13-Sep-2023 - 13-Sep-2023
Location: Vienna, Austria
Contact Person: Melanie Siegel
Meeting Email: melanie.siegel at h-da.de
Web Site: https://ditox.ait.ac.at/
Linguistic Field(s): Computational Linguistics; Discourse Analysis; Forensic Linguistics; Semantics; Text/Corpus Linguistics
Call Deadline: 21-May-2023
Meeting Description:
1st International Workshop on Disinformation and Toxic Content Analysis (DiTox
2023), September 13th, 2023
In conjunction with the 4th biennial conference on Language, Data and
Knowledge (LDK 2023) to be held in Vienna, Austria.
The spread of misinformation and disinformation not only affects people's
perceptions and beliefs, but can also have a direct impact on democratic
institutions, critical infrastructure, and lives and families. Most
critically, it raises the more fundamental issue of what sources of
information can be trusted at all, potentially calling into question our
relationship of trust with traditional media. Because of these profoundly
harmful effects, disinformation is seen as one of the most pressing problems
of our time.
The weak definition of the research task of disinformation analysis and
detection, as well as the enormous range in terms of the heterogeneity and
multimodality of the data involved, make this an exceptionally challenging
field of research. The complexity ranges from media tampering detection to
text content analysis to large-scale information fusion to analyze
disinformation trends. Maintaining a comprehensive overview is equally
difficult.
Respectively, the overall goal of this workshop is therefore to provide
insights on how approaches from different domains can be used to address
disinformation at a technical level including AI/ML-based methods, visual
analytics, and visualization approaches as well as interdisciplinary
approaches inspired by the social sciences (i.e., computational social
science). To this end, we invite task-specific contributions, as well as
large-scale integration approaches, demo and project presentations, to provide
a comprehensive overview of the current state of the art in countering
disinformation.
Call for Papers:
Topics:
Full Paper Submissions:
- Machine and Deep learning methods for disinformation (e.g., analysis,
detection)
- Visual analytics and visualization approaches for disinformation
- Social network analysis (e.g., key actors, distribution patterns) including
visualization approaches
- Graph algorithms for disinformation identification
- Natural language processing methods (e.g., content evaluation, toxicity,
radicalization)
- AI-supported fact checking and detection of disinformation campaigns
- Identification of fabricated and manipulated content (e.g., deep fakes,
generated text)
- Community detection and characterization in social networks (e.g.,
conspiracy theories, echo chambers)
- Bots characterization and detection
- Multimodal fake content detection
- Recommendation systems and disinformation
- AI uses, practices and tools in fact-checking journalism
- Qualitative and quantitative studies on disinformation
- Ethics and law in disinformation
Demo and Project Presentation (Short Paper Track, Poster Presentation):
- Demo presentations (e.g., fact checking tools, disinformation detection
tools)
- Project platform presentations
- Project presentations
Important Dates:
- Paper submission: May 21st, 2023
- Notification: June 20th, 2023
- Camera-ready submission deadline: July 9th, 2023
- DiTox workshop: September 13th, 2023
Submission:
Submissions can be in the form of Long papers (9–12 pages) and Short papers
(4-6 pages). All submission lengths are given including references. Accepted
submissions will be published by ACL in an open-access conference proceedings
volume, free of charge for authors. The reviewing process is single-blind,
submissions should not be anonymized. The workshop will be hybrid
(face-to-face and remote). At least one author of each accepted paper must
register to present the paper at the workshop (either remotely or on-site).
There will be no registration fee administered for participating in LDK 2023.
Papers should be submitted via OpenReview at the following address:
https://openreview.net/group?id=LDK/2023/Conference
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