Informative (Dis)information: Exploring the Correlation Between Social Media Disinformation Campaigns and Real-World Criminal Activity

Michael Victor Lo Giudice*, Ali Shadman Yazdi, Alberto Aziani, Spyridon Evangelatos, Nikolas Gousetis, Christos Nikolopoulos

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

The connection between online disinformation and crime is a topic of significant interest. An aspect of this topic, with strong research potential, is the causal relationship between crimes committed in the real world and disinformation spreading campaigns in the digital world, often on social media platforms. In essence, this research paper focuses on exploring said causal relationship, by seeking to establish a correlation between the diffusion of disinformation, online, and crimes committed offline; specifically, hate crimes. For this purpose, a novel method was employed: using robust machine learning algorithms for time-series predictions, in order to reveal causal pathways that traditional quantitative techniques may be unable to capture. Thus, the research conducted here exhibits AI applications in social science research and, at the same time, provides a greater understanding of the link between online disinformation and offline crime.
Lingua originaleEnglish
Titolo della pubblicazione ospite2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE)
Pagine1-6
Numero di pagine6
DOI
Stato di pubblicazionePubblicato - 2024
Evento2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) - Chania (Creta), Grecia
Durata: 29 mag 202431 mag 2024

Convegno

Convegno2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE)
CittàChania (Creta), Grecia
Periodo29/5/2431/5/24

Keywords

  • Convolutional Neural Networks
  • Crime Prediction
  • Deep Learning
  • Fake News and Disinformation
  • Machine Learning

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