Results 61 to 70 of about 277,003 (274)

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

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

open access: yesFEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

The Detection of Fake News in Arabic Tweets Using Deep Learning

open access: yesApplied Sciences, 2023
Fake news has been around for a long time, but the rise of social networking applications over recent years has rapidly increased the growth of fake news among individuals. The absence of adequate procedures to combat fake news has aggravated the problem.
Shatha Alyoubi   +2 more
doaj   +1 more source

Automatically Identifying Fake News in Popular Twitter Threads

open access: yes, 2017
Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake news,' present in these platforms.
Buntain, Cody, Golbeck, Jennifer
core   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Evaluating the Spread of Fake News and its Detection. Techniques on Social Networking Sites

open access: yesRomanian Journal of Communications and Public Relations, 2020
The phenomenon of fake news has become a much contentious issue recently. The controversy regarding this issue has further been intensified by the openness of social media platforms.
Isyaku Hassan   +2 more
doaj   +1 more source

Fake News Detection in Social Networks via Crowd Signals

open access: yes, 2018
Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news.
Krause, Andreas   +4 more
core   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

open access: yesFEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth   +6 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

Identifying Fake News and Fake Users on Twitter

open access: yesProcedia Computer Science, 2018
Abstract In the last years big social networks like Facebook or Twitter admit that on their networks are fake and duplicate accounts, fake news and fake likes. With these accounts, their creators can distribute false information, support or attack an idea, a product, or an election candidate, influencing real network users in making a decision.
Costel-Sergiu Atodiresei   +2 more
openaire   +1 more source

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