Results 61 to 70 of about 5,617,819 (244)

A CONCEPTUAL MODEL TO PROTECT BRAND REPUTATION FACING ” FAKE NEWS” [PDF]

open access: yes, 2023
openThis study aims to explore the nature and impact of Fake News on brands and their customers, identify different categories of Fake News, and propose a conceptual model for companies to protect their brand reputation and mitigate the effects of Fake ...
TARAGHI, NIMA
core  

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular 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

Automatic Detection of Fake News

open access: yes, 2020
Following the American presidential election in 2016, the terms ”fake news” was popularized and has since been a common term in the public vocabulary. While quite recently popularized, fake news is a phenomenon that is as old as news itself and is most ...
Kävrestad, Joakim   +2 more
core   +4 more sources

Hierarchical Fake News Detection Model Based on Multi-Task Learning and Adversarial Training

open access: yesInformatics
The 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

Evaluation of Accuracy Degradation Resulting from Concept Drift in a Fake News Detection System Using Emotional Expression

open access: yesApplied 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

Fake News Detection using Machine Learning [PDF]

open access: yes
Fake News has become one of the major problem in the society. It is due to its ability tochange opinions and cause lot of social and national damage with destructive impacts.
Basavesha D   +4 more
core   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

open access: yesMolecular 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

Fake news detection based on a hybrid BERT and LightGBM models

open access: yesComplex & 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

open access: yesCTU 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

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

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