Computational approaches for cyber social threats

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.

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Institutions

Publication Details

Journal
EPJ Data Science
Published
2024-10-28
DOI
https://doi.org/10.1140/epjds/s13688-024-00504-y
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
1.13
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article

Computational approaches for cyber social threats

Francesco Pierri, Jeremy Blackburn, Kai‐Cheng Yang, Matthew DeVerna et al.
1 citations
EPJ Data Science
Misinformation and Its Impacts
1.13
article

Computational approaches for cyber social threats

Francesco Pierri, Jeremy Blackburn, Kai‐Cheng Yang, Matthew DeVerna, Ugur Kursuncu
article en
1 citations

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.

EPJ Data ScienceVol. 13(1)
Binghamton University (US), Northeastern University (US), Georgia State University (US), Indiana University Bloomington (US), Politecnico di Milano (IT)
Reduced inequalities
Openalex Percentile: Top 16%
Misinformation and Its Impacts
1.13
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Computational approaches for cyber social threats — Francesco Pierri, Jeremy Blackburn, et al. · EPJ Data Science (2024) | TGRS Research Map | TGRS