Results 61 to 70 of about 5,447,969 (268)
Brazilian Policy and Actions to Fight Against Fake News
, 2020 Fake news has influenced politics, economy, and society in Brazil. Because of that, some people have developed actions to fight against fake news and disseminate its consequences to people.
Selma Leticia Capinzaiki Ottonicar +1 more
core +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Applied Sciences, 2023 Fake news on social media has become a social problem. Fake news refers to false information that is deliberately intended to deceive people. Several studies have been conducted on automatic detection systems that reduce the damage caused by fake news ...
Hirokazu Murayama +2 more
doaj +1 more source
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023 Accepted by ACL ...
Kung-Hsiang Huang +4 more
openaire +3 more sources
MITF maintains genome stability in nonmelanocyte lineages
Molecular Oncology, EarlyView.MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir +13 more
wiley +1 more source
Interpretable Fake News Detection
, 2020 Fake news is one of the most serious challenges facing the news industry today, which could result in adverse impacts on our society. Recent progress of deep neural networks (DNNs) has shown some promising results in detecting fake news.
Pentyala, Shiva Kumar
core +1 more source
Hierarchical Fake News Detection Model Based on Multi-Task Learning and Adversarial Training
InformaticsThe harmfulness of online fake news has brought widespread attention to fake news detection by researchers. Most existing methods focus on improving the accuracy and early detection of fake news, while ignoring the frequent cross-topic issues faced by ...
Yi Sun, Dunhui Yu
doaj +1 more source
Fake news detection based on a hybrid BERT and LightGBM models
Complex & Intelligent Systems, 2023 With the rapid growth of social networks and technology, knowing what news to believe and what not to believe become a challenge in this digital era. Fake news is defined as provably erroneous information transmitted intending to defraud.
Ehab Essa, Karima Omar, Ali Alqahtani
doaj +1 more source
Detecting Vietnamese fake news
CTU Journal of Innovation and Sustainable Development, 2023 This paper focuses on constructing a dataset consisting of both fake news and factual news in the Vietnamese language. We employ Deep Learning models, namely Long Short-Term Memory, bidirectional Long Short-Term Memory, and Convolutional Neural Network -
Duc Vinh Vo, Phuc Do
doaj +1 more source
Fake News Detection of COVID-19 Using Machine Learning Techniques
, 2022 Covid-19 or Coronavirus is the most popular common term in recent time. The SARS-CoV-2 virus caused a pandemic of respiratory disturbance which is named as COVID-19.
Raihan, M. +11 more
core +1 more source