[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
Soft-label for multi-domain fake news detection
D Wang, W Zhang, W Wu, X Guo - IEEE Access, 2023 - ieeexplore.ieee.org
The spread of fake news across several fields has had serious negative impacts on the
public and society. Existing studies have shown that the use of multi-domain labels can …
public and society. Existing studies have shown that the use of multi-domain labels can …
Ensemble based high performance deep learning models for fake news detection
Social media has emerged as a dominant platform where individuals freely share opinions
and communicate globally. Its role in disseminating news worldwide is significant due to its …
and communicate globally. Its role in disseminating news worldwide is significant due to its …
[HTML][HTML] Fake news detection in low-resource languages: A novel hybrid summarization approach
The proliferation of fake news across languages and domains on social media platforms
poses a significant societal threat. Current automatic detection methods for low-resource …
poses a significant societal threat. Current automatic detection methods for low-resource …
VERITAS-NLI: Validation and Extraction of Reliable Information Through Automated Scra** and Natural Language Inference
In today's day and age where information is rapidly spread through online platforms, the rise
of fake news poses an alarming threat to the integrity of public discourse, societal trust, and …
of fake news poses an alarming threat to the integrity of public discourse, societal trust, and …
The ASR Post-Processor Performance Challenges of BackTranScription (BTS): Data-Centric and Model-Centric Approaches
Training an automatic speech recognition (ASR) post-processor based on sequence-to-
sequence (S2S) requires a parallel pair (eg, speech recognition result and human post …
sequence (S2S) requires a parallel pair (eg, speech recognition result and human post …
Enhancing Model Performance through Translation-based Data Augmentation in the context of Fake News Detection
The rapid development of social media in recent years has encouraged the sharing of vast
amounts of data and the propagation of fake news. This has pushed the scientific community …
amounts of data and the propagation of fake news. This has pushed the scientific community …
Deep Learning Based Semantic Model for Multimodal Fake News Detection.
Social media has gradually become the primary news source for people in recent years,
providing convenience but also leading to the spread of false information. With the rise of …
providing convenience but also leading to the spread of false information. With the rise of …
Addressing class imbalance in fake news detection with latent space resampling
The detection of fake news has become crucial with the popularity of social media as a
primary medium of news consumption. However, real-world fake news datasets often suffer …
primary medium of news consumption. However, real-world fake news datasets often suffer …
Fake Review Detection in Movie Recommendation System Using Hybrid Method
P Eshwara, G Krishna, SS Priya - Next-Gen Technologies in …, 2024 - books.google.com
The paper proposes a hybrid method for detecting fake reviews in movie recommendation
systems to eliminate the negative effects of artificial reviews on user choices. The proposed …
systems to eliminate the negative effects of artificial reviews on user choices. The proposed …