Results 91 to 100 of about 805,169 (363)

exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

open access: yesApplied Sciences, 2019
News currently spreads rapidly through the internet. Because fake news stories are designed to attract readers, they tend to spread faster. For most readers, detecting fake news can be challenging and such readers usually end up believing that the fake ...
Heejung Jwa   +4 more
doaj   +1 more source

This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News

open access: yes, 2017
The problem of fake news has gained a lot of attention as it is claimed to have had a significant impact on 2016 US Presidential Elections. Fake news is not a new problem and its spread in social networks is well-studied.
Adali, Sibel, Horne, Benjamin D.
core   +2 more sources

A Survey on the Use of Large Language Models (LLMs) in Fake News

open access: yesFuture Internet
The proliferation of fake news and fake profiles on social media platforms poses significant threats to information integrity and societal trust. Traditional detection methods, including rule-based approaches, metadata analysis, and human fact-checking ...
Eleftheria Papageorgiou   +3 more
semanticscholar   +1 more source

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2023
Due to the rapid upgrade of social platforms, most of today’s fake news is published and spread in a multi-modal form. Most existing multi-modal fake news detection methods neglect the fact that some label-specific features learned from the training set ...
Ziwei Chen   +4 more
semanticscholar   +1 more source

FAKE NEWS AND MISINFORMATION

open access: yesInternational Journal of Advances in Scientific Research and Engineering, 2018
Fake news is a type of propaganda that consists of deliberate misinformation. This false information is mainly spread through journals, magazines, mainstream media or social media. With the increasing popularity of social media and mobile phone, more and more people consume news from social media instead of traditional news media. Thus social media has
Matthew N. O. Sadiku   +2 more
openaire   +3 more sources

Fake news and vultures

open access: yesNature Sustainability, 2020
Peer ...
Antoni Margalida, José A. Donázar
openaire   +3 more sources

Photosynthesis under far‐red light—evolutionary adaptations and bioengineering of light‐harvesting complexes

open access: yesFEBS Letters, EarlyView.
Phototrophs evolved light‐harvesting systems adapted for efficient photon capture in habitats enriched in far‐red radiation. A subset of eukaryotic pigment‐binding proteins can absorb far‐red photons via low‐energy chlorophyll states known as red forms.
Antonello Amelii   +8 more
wiley   +1 more source

Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice

open access: yesSystems, 2023
With the popularization of digital technology, the problem of information pollution caused by fake news has become more common. Malicious dissemination of harmful, offensive or illegal content may lead to misleading, misunderstanding and social unrest ...
Lu Yuan   +4 more
doaj   +1 more source

Hoaxy: A Platform for Tracking Online Misinformation

open access: yes, 2016
Massive amounts of misinformation have been observed to spread in uncontrolled fashion across social media. Examples include rumors, hoaxes, fake news, and conspiracy theories.
Ciampaglia, Giovanni Luca   +3 more
core   +1 more source

Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks

open access: yesIEEE Transactions on Computational Social Systems
Social media has a significant influence, which greatly facilitates people to stay up-to-date with information. Unfortunately, a great deal of fake news on social media misleads people and causes a lot of losses.
Hangjun Che   +4 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy