Work

Computational approaches for cyber social threats

Year: 2024

Type: article

Abstract: This topical issue, Computational Approaches for Cyber Social Threats , showcases cutting-edge research that employs computational methods to tackle the pressing challenges of cyber social threats—such as fake news, disinformation, cyberbullying, hate speech, and online radicalization. In an increasingly interconnected digital landscape, these threats significantly jeopardize societal stability by eroding public trust, intensifying polarization, and widening social divides. The theme “Information Integrity During Crises” is highlighted to underscore the critical role of reliable information during global crises, when the spread of misinformation and disinformation is particularly pervasive. With a collection of nine outstanding papers, this topical issue advances our comprehension of how computational tools can address cyber social threats and protect information integrity during crises.

Source: EPJ Data Science

DOI: 10.1140/epjds/s13688-024-00504-y

Authors: Francesco Pierri, Matthew R. DeVerna, Kai-Cheng Yang, Jeremy Blackburn, Ugur Kursuncu