Please wait ...
0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
The process of multi class fake news dataset generation
Authors :
Sajjad Rezaei
1
Mohsen Kahani
2
Behshid Behkamal
3
1- Ferdowsi university of mashhad
2- Ferdowsi university of mashhad
3- Ferdowsi university of mashhad
Keywords :
fake news,fake news detection,social media,reliable dataset
Abstract :
Nowadays, news plays a significant role in everyday life. Due to the increasing usage of the social media and the dissemination of news by people who have access to social media, there is a problem that the validation of the news may be questioned, and people may publish fake news for their benefit. Automatic fake news detection is a complex issue. It is necessary to have up-to-date and reliable data to build an efficient model for the detection. However, there are very few such datasets available for researchers. In this paper, we proposed a new fake news dataset that was extracted from three famous and reliable fact-checking websites. Because of different labels used in each site, an algorithm was developed to integrated these 37 labels into 5 unified labels. Some experiments were conducted to show the usability and validity of the dataset.
Papers List
List of archived papers
Evaluation of Efficient Electrocardiomatrix-based Identification Using Deep Learning Methods
Amirhossein Safari - Narges Mokhtari - Mohsen Hooshmand - Sadegh Sadeghi - Peyman Pahlevani
Ensemble-Based Fraud Detection: A Robust Approach Evaluated on IEEE-CIS
Fatemeh Moradi - Mehran Tarif - Mohammadhossein Homaei
A Synergistic Hybrid Architecture with Residual Attention and Mixture-of-Experts for Robust Hour-Ahead Forex Forecasting
Alireza Abbaszadeh - Seyyed Abed Hosseini - Mohammad Reza Akbarzadeh Totonchi
Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics
Masoumeh Chapariniya - Teodora Vukovic - Sarah Ebling - Volker Dellwo
Multi-source Ensemble Model for Scene Recognition
Amir Hossein Saleknia - Ahmad Ayatollahi
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
Rasoul Jafari Gohari - Laya Aliahmadipour - Ezat Valipour
Optimizing Question-Answering Framework Through Integration of Text Summarization Model and Third-Generation Generative Pre-Trained Transformer
Ervin Gubin Moung - Toh Sin Tong - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Farashazillah Yahya
Improving Machine Learning Classification of Heart Disease Using the Graph-Based Techniques
Abolfazl Dibaji - Sadegh Sulaimany
SUT: a new multi-purpose synthetic dataset for Farsi document image analysis
Elham Shabaninia - Fatemeh sadat Eslami - Ali Afkari Fahandari - Hossein Nezamabadi-pour
Towards Efficient Capsule Networks through Approximate Squash Function and Layer-wise Quantization
Mohsen Raji - Kimia Soroush - Amir Ghazizadeh
more
Samin Hamayesh - Version 44.8.0