Call for abstracts

We invite submissions of research papers on computational fact-checking, false news detection, and the analysis of misinformation spread on social media. Topics of interest include, but are not limited to:

• Analysis of dis/misinformation spread

• Network representation of online social systems

• Statistical and probabilistic methods for the study of OSNs

• Structural and dynamical analyses of OSNs

• Claim extraction and detection

• Claim source detection

• Quantifying and addressing biases in dis/misinformation detection

• Explainable models for computational fact checking

• Provenance and source detection of claims

• Crowd-sourcing for fact checking

• Social bot detection

Contributions should fit the same structure required by the NetSci2020 conference, i.e. they should be submitted as extended abstracts (one pdf page including a descriptive figure). Please, remember to include the following information: title of the talk, author(s), affiliation(s), e-mail address(es), name of the presenter.

Please remember that presenters of accepted contributions have to register for NetSci2020. You can find more details in the related webpage of the conference, link.