Artificial Intelligence Against Fake News: Workshop on Advances in Disinformation Detection (WADD 2023)
Disinformation in its many forms is an increasingly problematic threat to society. Automated detection of disinformation both online and offline have been widely studied with different approaches.
Recently, advances in artificial intelligence have lead to more effective ways of building disinformation detection and prevention systems.
This workshop aims at bringing together Norwegian researchers studying all aspects of disinformation in order to create a research community.
It also targets the general audience who would like to gain more knowledge about the advances in automated disinformation detection.
Considering the threats posed by disinformation, organization of this workshop offers a timely intervention that will lead to novel insights into the national disinformation detection research space.
WADD 2023 will be organized in conjunction with NIKT 2023 in Stavanger, Norway on 30 November 2023, 09.00-12.00 in UiS Campus, Arne Rettedals hus, room Ø-130.
Workshop Program
09.00 - 09.05 Özlem Özgöbek: Opening Remarks
09.05 - 09.25 Zia Uddin, Md Zia Uddin and Nele Põldvere, SINTEF - Fake News
Detection Using the PolitiFact-Oslo Corpus: A Comprehensive Study (Digital)
09.25 - 09.40 Johannes Langguth: AI, Misinformation, and Covid 19 Conspiracy Theories
09.40 - 09.55 Petra Filkuková: Evaluation of fictitious news stories about immigrants: The effect of gender, age and media consumption on susceptibility to misinformation
09.55 - 10.15 Coffee break
10.15 - 10.30 Mehdi Elahi, UiB - Addressing Popularity Bias in Recommender Systems:
Detection and Mitigation (Digital)
10.30 - 10.45 Özlem Özgöbek, NTNU - Fake news detection: From machine learning to to LLMs
10.45 - 11.00 Eniafe Ayetiran: Multimodal fake news and harmful languages detection: A unified deep learning approach
11.00 - 11.20 Coffee break
11.20 - 11.40 Daniel Thilo Schroeder: Digital Dynamics in African Conflict Zones and Simulated Online Societies
11.40 - 11.55 Cise Midoglu: Experiences from the Grand Challenge on Detecting Cheapfakes
11.55 - 12.00 Johannes Langguth: Closing Remarks
Call For Talks
The aim of WADD is to bring together Norwegian researchers studying all aspects of disinformation, with a focus on countermeasures based on artificial intelligence. Therefore, the topics relevant to this workshop include but are not limited to:
- Disinformation detection methods,
- Social media and disinformation,
- Multi-modality in disinformation detection,
- Automated fact-checking,
- Hate speech, misinformation, and filter bubbles,
- The effect of disinformation in artificial intelligence applications,
- Sociological and psychological aspects of disinformation,
- Ethical aspects of disinformation,
- Dataset development for disinformation detection,
- Large language models and disinformation,
- Machine learning applications for disinformation detection.
Submission Guidelines
Abstracts should include the description of the existing work by the authors on the relevant topics listed above. Please include the list of publications and provide a short summary of your proposed talk.
Extended abstracts should include:
- Title of the presentation
- List of all involved authors
- Name of the presenter
- Summary of the research to be presented
- References to existing work the presentation is based on
Please submit your extended abstracts through EasyChair:
EasyChair submission link
Organizing Committee
- Özlem Özgöbek, Norwegian University of Science and Technology, Norway.
Özlem is an associate professor at the Department of Computer Science at NTNU\@. Her research focuses on recommender systems, privacy issues in recommender systems and disinformation detection for online news.
ozlem.ozgobek(at)ntnu_no
- Eniafe Ayetiran, Norwegian University of Science and Technology, Norway.
Eniafe is a postdoctoral fellow at NTNU and a senior lecturer at Achievers University. His research areas include natural language processing, machine learning and information retrieval.
eniafe.ayetiran(at)ntnu_no
- Johannes Langguth, Simula Research Laboratory, Norway.
Johannes is a Senior Research Scientist at Simula Research Laboratory and an Associate Professor II at the University of Bergen in Computer Science.
His research focuses on graph algorithms, artificial intelligence, combinatorial scientific computing and computational social science.
langguth(at)simula_no
- Petra Filkukova, Inland Norway University of Applied Sciences (INN), Norway.
is an Associate Professor at Inland Norway University of Applied Sciences (INN) and an Affiliated Researcher at Simula Research Laboratory. Her research focuses on social psychology, decision making, and the psychology of trust and the spread of misinformation both offline and in social networks.
petrafilkukova(at)simula_no