Detection of fake accounts on social media using multimodal data with deep learning
In recent years, the proliferation of fake accounts on social media has become a significant
concern for individuals, organizations, and society. Fake accounts play an important role in …
concern for individuals, organizations, and society. Fake accounts play an important role in …
Heterogenous Social Media Analysis For Efficient Deep Learning Fake-Profile Identification.
BLVS Aditya, SN Mohanty - IEEE Access, 2023 - ieeexplore.ieee.org
The surge in e-scams attributed to an estimated 30% of fake social media accounts has
highlighted the urgent need to identify such fraudulent profiles. Since the current model …
highlighted the urgent need to identify such fraudulent profiles. Since the current model …
Enhancing security in online social networks: introducing the DeepSybil model for Sybil attack detection
Abstract Online Social Networks (OSNs) have become increasingly popular platforms for
personal, professional, and social networking. However, the rise of fraudulent events such …
personal, professional, and social networking. However, the rise of fraudulent events such …
[PDF][PDF] Die Diskussion gesellschaftsrelevanter Themen auf Twitter Eine Fallstudie
SS Gennaro - researchgate.net
The overweight problem in our contemporary society continues to increase–as well as other
dietrelated diseases such as obesity and non-transmittable cardiovascular diseases. In …
dietrelated diseases such as obesity and non-transmittable cardiovascular diseases. In …