A comprehensive review on fake news detection with deep learning

MF Mridha, AJ Keya, MA Hamid, MM Monowar… - IEEE …, 2021 - ieeexplore.ieee.org
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …

Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

B Jena, S Saxena, GK Nayak, L Saba, N Sharma… - Computers in Biology …, 2021 - Elsevier
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …

A novel stacking approach for accurate detection of fake news

TAO Jiang, JP Li, AU Haq, A Saboor, A Ali - IEEE Access, 2021 - ieeexplore.ieee.org
With the increasing popularity of social media, people has changed the way they access
news. News online has become the major source of information for people. However, much …

Emotion recognition by textual tweets classification using voting classifier (LR-SGD)

A Yousaf, M Umer, S Sadiq, S Ullah, S Mirjalili… - IEEE …, 2020 - ieeexplore.ieee.org
The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …

[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches

MR Kondamudi, SR Sahoo, L Chouhan… - Journal of King Saud …, 2023 - Elsevier
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 …

[HTML][HTML] Knowledge graph informed fake news classification via heterogeneous representation ensembles

B Koloski, TS Perdih, M Robnik-Šikonja, S Pollak… - Neurocomputing, 2022 - Elsevier
Increasing amounts of freely available data both in textual and relational form offers
exploration of richer document representations, potentially improving the model …

Are you a cyborg, bot or human?—a survey on detecting fake news spreaders

W Shahid, Y Li, D Staples, G Amin, S Hakak… - IEEE …, 2022 - ieeexplore.ieee.org
One of the major components of Societal Digitalization is Online social networks (OSNs).
OSNs can expose people to different popular trends in various aspects of life and alter …

RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model

M Manzoor, M Umer, S Sadiq, A Ishaq, S Ullah… - IEEE …, 2021 - ieeexplore.ieee.org
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …

Context-aware misinformation detection: A benchmark of deep learning architectures using word embeddings

VI Ilie, CO Truică, ES Apostol, A Paschke - IEEE Access, 2021 - ieeexplore.ieee.org
New mass media paradigms for information distribution have emerged with the digital age.
With new digital-enabled mass media, the communication process is centered around the …

Context-based fake news detection model relying on deep learning models

E Amer, KS Kwak, S El-Sappagh - Electronics, 2022 - mdpi.com
Nowadays, due to the great accessibility to the internet, people seek out and consume news
via social media due to its low cost, ease of access, and quick transmission of information …