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Identifying Fake News using Emotion Analysis [PDF]
, 2019 This paper presents research applying Emotional Analysis to “Fake News” and “Real News” articles to investigate whether or not there is a difference in the emotion used in these two types of news articles. The paper reports on a dataset for Fake and Real
Gilleran, Brady
core +2 more sources
Fake News Detection in Social Networks via Crowd Signals
, 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
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
AAAI Conference on Artificial IntelligenceNowadays, detecting multimodal fake news has emerged as a foremost concern since the widespread dissemination of fake news may incur adverse societal impact. Conventional methods generally focus on capturing the linguistic and visual semantics within the
Litian Zhang +4 more
semanticscholar +1 more source
On the Coherence of Fake News Articles [PDF]
, 2020 AbstractThe generation and spread of fake news within new and online media sources is emerging as a phenomenon of high societal significance. Combating them using data-driven analytics has been attracting much recent scholarly interest. In this computational social science study, we analyze the textual coherence of fake news articles vis-a-vis ...
Singh, Iknoor +2 more
openaire +5 more sources
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
Molecular Oncology, EarlyView.The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche +8 more
wiley +1 more source
Financial Innovation, 2021 This paper proposes an original behavioural finance representative agent model, to explain how fake news’ empirical price impacts can persist in finance despite contradicting the efficient-market hypothesis.
Bryan Fong
doaj +1 more source
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
Molecular Oncology, EarlyView.This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
Approach for Detecting Arabic Fake News using Deep Learning
Iraqi Journal for Computer Science and Mathematics: Fake news has spread more widely over the past few years. The development of social media and internet websites has fueled the spread of fake news, causing it to mix with accurate information. The majority of studies on Fake News Detection FND were in
khalid shaker Alhity, Arwa Alqudsi
doaj +1 more source
A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression
Molecular Oncology, EarlyView.Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak +8 more
wiley +1 more source
, 2018 Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article.
Gupta, Shashank +3 more
core +1 more source