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 …

[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 …

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 …

Fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users' comments

SK Hamed, MJ Ab Aziz, MR Yaakub - Sensors, 2023 - mdpi.com
Nowadays, social media has become the main source of news around the world. The
spread of fake news on social networks has become a serious global issue, damaging many …

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] 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 …

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 …

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 …

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 …