Transformer-based models for combating rumours on microblogging platforms: a review
The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …
sparked interest among researchers in applying them to classify rumours on social media …
A hybrid approach for fake news detection in twitter based on user features and graph embedding
The quest for trustworthy, reliable and efficient sources of information has been a struggle
long before the era of internet. However, social media unleashed an abundance of …
long before the era of internet. However, social media unleashed an abundance of …
Eating garlic prevents COVID-19 infection: Detecting misinformation on the Arabic content of Twitter
S Alqurashi, B Hamoui, A Alashaikh, A Alhindi… - arXiv preprint arXiv …, 2021 - arxiv.org
The rapid growth of social media content during the current pandemic provides useful tools
for disseminating information which has also become a root for misinformation. Therefore …
for disseminating information which has also become a root for misinformation. Therefore …
[PDF][PDF] Credibility Detection in Twitter Using Word N-gram Analysis and Supervised Machine Learning Techniques.
NY Hassan, WH Gomaa, GA Khoriba… - International Journal of …, 2020 - inass.org
With the evolution of social media platforms, the Internet is used as a source for obtaining
news about current events. Recently, Twitter has become one of the most popular social …
news about current events. Recently, Twitter has become one of the most popular social …
Hybrid random forest and synthetic minority over sampling technique for detecting internet of things attacks
MG Karthik, MBM Krishnan - Journal of Ambient Intelligence and …, 2021 - Springer
In recent decades, the internet of things (IoT) is a growing technology in smart applications,
where it is highly susceptible to security breaches, due to the resource constrained nature of …
where it is highly susceptible to security breaches, due to the resource constrained nature of …
Soil erosion status prediction using a novel random forest model optimized by random search method
Soil erosion, the degradation of the earth's surface through the removal of soil particles,
occurs in three phases: dislocation, transport, and deposition. Factors such as soil type …
occurs in three phases: dislocation, transport, and deposition. Factors such as soil type …
Spade: Multi-stage spam account detection for online social networks
In recent years, Online Social Networks (OSNs) have radically changed the way people
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …
CE-BERT: Concise And Efficient BERT-based Model for Detecting Rumours on Twitter
Detecting rumours on social media requires careful consideration of content and context.
Graph-based neural network techniques have been used to explore the contextual features …
Graph-based neural network techniques have been used to explore the contextual features …
[PDF][PDF] Credibility detection on twitter news using machine learning approach
Social media presence is a crucial portion of our life. It is considered one of the most
important sources of information than traditional sources. Twitter has become one of the …
important sources of information than traditional sources. Twitter has become one of the …
Evaluating BERT-based pre-training language models for detecting misinformation
It is challenging to control the quality of online information due to the lack of supervision over
all the information posted online. Manual checking is almost impossible given the vast …
all the information posted online. Manual checking is almost impossible given the vast …