Call for Papers for Special Issue on Tackling COVID-19 Infodemic
While the COVID-19 pandemic continues its global devastation, numerous accompanying challenges emerge. One important challenge is to efficiently and effectively use recently gathered data and find computational tools to combat the COVID-19 infodemic. An infodemic is an overabundance of information – some accurate and some not – occurring during an epidemic. Rampant conspiracy theories, disinformation, misinformation, and various types of scams can spread fast by taking advantage of human gullibility, fear, and ignorance. Therefore, there is a pressing need to manage the infodemic to help people find trustworthy information and reliable guidance during this global public health crisis. AI for Good holds a lot of potential for solving societal problems including combating the infodemic, while challenges remain. It is important to integrate theories from different disciplines to help with the COVID-19 crisis.
In this special issue, we provide an interdisciplinary forum for researchers and practitioners to combat the COVID-19 infodemic. We expect novel research to study the understanding, detection, mitigation, and measurement of the COVID-19 infodemic and potential future outbreaks. To facilitate further research in COVID-19 infodemic, this special issue welcomes interdisciplinary research articles, new open access datasets, repositories, and benchmarks, broadening research on crisis informatics and its development.
Topics of interest include, but are not limited to:
- Disinformation/misinformation detection and mitigation
- Fact-checking and credibility assessment
- Computational tools to understand, measure and contain infodemic
- Diffusion and intervention of infodemic
- Bias, transparency, and fairness
- Economical impacts of infodemic
- Infodemic monitoring across countries, regions, and cultures
- Individual and societal impacts of COVID-19 infodemic
- Epidemiology, public health, and infodemic
- Psychology, marketing and behavioural insights
- Data science, applied maths and physics for infodemic
- Society, ethics, trust, and governance for infodemic
- Attribution and source tracing of COVID-19 infodemic
- Spatio-temporal infodemic analysis
- Social network analysis
- AI for COVID-19
- Sociological and psychological analysis of infodemic
- COVID-19 infodemic datasets, benchmarks, and repositories
Articles reporting original and unpublished research results pertaining to the above topics are solicited. We welcome two types of research contributions:
(1) Research manuscripts reporting novel methodologies and results (up to 20 pages);
(2) Benchmark, Datasets, Repositories, and Demonstration Systems (up to 8 pages).
Submitted articles will follow an academic review process. Manuscripts must be prepared according to the instruction for authors available at the journal webpage and submitted through the publisher's online submission system, available at: https://www.editorialmanager.com/snam
Please note: when submitting, please choose the correct special issue, i.e. “SI: Tackling COVID-19 Infodemic”.
● Submission deadline: October 15, 2020
● Notification: November 25, 2020
● Camera-ready deadline: December 30, 2020
Kai Shu, Illinois Institute of Technology, email@example.com
Miriam Metzger, University of California, Santa Barbara, firstname.lastname@example.org
Huan Liu, Arizona State University, email@example.com