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 originale | English |
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Titolo della pubblicazione ospite | 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) |
Pagine | 1-6 |
Numero di pagine | 6 |
DOI | |
Stato di pubblicazione | Pubblicato - 2024 |
Evento | 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) - Chania (Creta), Grecia Durata: 29 mag 2024 → 31 mag 2024 |
Convegno
Convegno | 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) |
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Città | Chania (Creta), Grecia |
Periodo | 29/5/24 → 31/5/24 |
Keywords
- Convolutional Neural Networks
- Crime Prediction
- Deep Learning
- Fake News and Disinformation
- Machine Learning