1st International Workshop on
Disinformation and Toxic Content Analysis
(DiTox 2023)

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.

	Length	From	To
Registration	00:30	08:30	09:00
Welcome Message by Workshop Organizers	00:10	09:00	09:10
Keynote: Dr. Nikos Sarris	00:50	09:10	10:00
Short Paper Session
A First Attempt to Detect Misinformation in Russia-UkraineWar News Nina Khairova, Bogdan Ivasiuk, Fabrizio Lo Scudo, Carmela Comito and Andrea Galassi	00:20	10:00	10:20
WIDISBOT:Widget to analyse disinformation and content spread by bots Jose Manuel Camacho, Luis Perez-Miguel and David Arroyo	00:20	10:20	10:40
Exploring Intensities of Hate Speech on Social Media Raisa Romanov Geleta, Klaus Eckelt, Emilia Parada-Cabaleiro and Markus Schedl	00:20	10:40	11:00
Coffee break	0:30	11:00	11:30
Long Paper Session
Debunking Disinformation with GADMO Jonas Rieger, Nico Hornig, Jonathan Flossdorf, Henrik Müller, Stephan Mündges, Carsten Jentsch, Jörg Rahnenführer and Christina Elmer	00:25	11:30	11:55
Assessing Italian News Reliability in the Health Domain through Text Luca Giordano and Maria Pia di Buono	00:25	11:55	12:20
Cross-Lingual Transfer Learning for Misinformation Detection Oguzhan Ozcelik, Arda Sarp Yenicesu, Onur Yildirim, Dilruba Sultan Haliloglu, Erdem Ege Eroglu and Fazli Can	00:25	12:20	12:45
Closing Words	00:15	12:45	13:00
Lunch	01:00	13:00	14:00

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

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 anonymised. 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 E-Mail at the following address: ditox@ait.ac.at

Alexander Schindler, Austrian Insititue of Technology GmbH

Mina Schütz, Austrian Institute of Technology GmbH, Darmstadt University of Applied Sciences

Melanie Siegel, Darmstadt University of Applied Sciences

Kawa Nazemi, Darmstadt University of Applied Sciences

Matthias Zeppelzauer, St. Poelten University of Applied Sciences

Djordje Slijepčević, St. Poelten University of Applied Sciences