[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] Combating the menace: A survey on characterization and detection of fake news from a data science perspective

W Ansar, S Goswami - … Journal of Information Management Data Insights, 2021 - Elsevier
Journalism has always remained a vital constituent of our society and journalists play a key
role in making people aware of the happenings and developments in society. This spread of …

[HTML][HTML] Fake News Classification using transformer based enhanced LSTM and BERT

N Rai, D Kumar, N Kaushik, C Raj, A Ali - International Journal of Cognitive …, 2022 - Elsevier
Fake News has been a concern all over the world and social media has only amplified this
phenomenon. Fake News has been affecting the world on a large scale as these are …

A taxonomy of fake news classification techniques: Survey and implementation aspects

D Rohera, H Shethna, K Patel, U Thakker… - IEEE …, 2022 - ieeexplore.ieee.org
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …

An open automation system for predatory journal detection

LX Chen, SW Su, CH Liao, KS Wong, SM Yuan - Scientific Reports, 2023 - nature.com
The growing number of online open-access journals promotes academic exchanges, but the
prevalence of predatory journals is undermining the scholarly reporting process. Data …

TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection

S **ong, G Zhang, V Batra, L **, L Shi, L Liu - Information fusion, 2023 - Elsevier
Compared to ordinary news, fake news is characterized by faster dissemination and lower
production cost and therefore causes a great social harm. For these reasons, the challenge …

Rumorllm: A rumor large language model-based fake-news-detection data-augmentation approach

J Lai, X Yang, W Luo, L Zhou, L Li, Y Wang, X Shi - Applied Sciences, 2024 - mdpi.com
With the rapid development of the Internet and social media, false information, rumors, and
misleading content have become pervasive, posing significant threats to public opinion and …

[HTML][HTML] Public's mental health monitoring via sentimental analysis of financial text using machine learning techniques

SA Alanazi, A Khaliq, F Ahmad, N Alshammari… - International Journal of …, 2022 - mdpi.com
Public feelings and reactions associated with finance are gaining significant importance as
they help individuals, public health, financial and non-financial institutions, and the …

Poirot: Causal Correlation Aided Semantic Analysis for Advanced Persistent Threat Detection

J Yang, Q Zhang, X Jiang, S Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The volatile, covert and slow multistage attack patterns of Advanced Persistent Threat (APT)
present a tricky challenge of APT detection, which are vital for organisations to protect their …

Hoax classification and sentiment analysis of Indonesian news using Naive Bayes optimization

HA Santoso, EH Rachmawanto… - TELKOMNIKA …, 2020 - telkomnika.uad.ac.id
Currently, the spread of hoax news has increased significantly, especially on social media
networks. Hoax news is very dangerous and can provoke readers. So, this requires special …