TY - GEN
T1 - Informative (Dis)information: Exploring the Correlation Between Social Media Disinformation Campaigns and Real-World Criminal Activity
AU - Giudice, Michael V. Lo
AU - Yazdi, Ali Shadman
AU - Aziani, Alberto
AU - Evangelatos, Spyridon
AU - Gousetis, Nikolas
AU - Nikolopoulos, Christos
PY - 2024
Y1 - 2024
N2 - 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\r\ndiffusion 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\r\noffline crime.
AB - 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\r\ndiffusion 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\r\noffline crime.
KW - Convolutional Neural Networks
KW - Crime Prediction
KW - Deep Learning
KW - Fake News and Disinformation
KW - Machine Learning
KW - Convolutional Neural Networks
KW - Crime Prediction
KW - Deep Learning
KW - Fake News and Disinformation
KW - Machine Learning
UR - https://publicatt.unicatt.it/handle/10807/290676
U2 - 10.1109/EEITE61750.2024.10654415
DO - 10.1109/EEITE61750.2024.10654415
M3 - Conference contribution
SN - 979-8-3503-7287-8
SP - 1
EP - 6
BT - 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE)
PB - IEEE
ER -