EPJ Data Science is delighted to present a topical issue on Computational Approaches for Cyber Social Threats.
This topical issue aims to bring together innovative research contributions that leverage computational approaches to tackle cyber social threats. Cyber social threats are increasingly prevalent in our digitally interconnected society and include fake news, disinformation campaigns, cyberbullying, hate speech, and online radicalization. These threats have significant societal consequences, including the erosion of trust in institutions, polarized public discourse, and the exacerbation of societal divides.
We include the spotlight topic Information Integrity During Crises, chosen in light of recent global events that have underscored the importance of reliable information. These crises provide fertile ground for the spread of disinformation and misinformation, making it challenging to separate fact from fiction. Research focused on this topic includes state-of-the-art approaches to combat the spread of misinformation and to promote accurate and timely communication. The goal of this topical issue is to advance our understanding of how computational methods can be harnessed to address cyber social threats and to promote the integrity of information during crises.
Guest Editors:
Francesco Pierri, Politecnico di Milano, Milano, Italy
Matthew R. DeVerna, Indiana University, Bloomington, IN, USA
Kai-Cheng Yang, Indiana University, Bloomington, IN, USA
Jeremy Blackburn, State University of New York at Binghamton, NY, USA
Ugur Kursuncu, Georgia State University, GA, USA
Submission deadline: Closed for Submissions.
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