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"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
Automatic fake news detection is a challenging problem in deception detection, and it has tremendous real-world political and social impacts. However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled ...
Wang, William Yang
core +1 more source
Epistemologia delle fake news [PDF]
Questo articolo prende in esame il fenomeno della proliferazione di fake news da un punto di vista filosofico—anzi, per meglio dire, prettamente epistemologico—con particolare attenzione a tre questioni fondamentali: cosa sono le fake news e come debbano
Croce, Michel, Piazza, Tommaso
core +1 more source
Multimodal Fusion with Co-Attention Networks for Fake News Detection
Fake news with textual and visual contents has a better story-telling ability than text-only contents, and can be spread quickly with social media. People can be easily deceived by such fake news, and traditional expert identification is labor-intensive ...
Yang Wu +4 more
semanticscholar +1 more source
What Is (Fake) News? Analyzing News Values (and More) in Fake Stories
‘Fake news’ has been a topic of controversy during and following the 2016 U.S. presidential election. Much of the scholarship on it to date has focused on the ‘fakeness’ of fake news, illuminating the kinds of deception involved and the motivations of those who deceive. This study looks at the ‘newsness’ of fake news by examining the extent to which it
Tandoc, Edson C. +2 more
openaire +6 more sources
Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi +3 more
wiley +1 more source
Social media is now the primary form of communication between internet users and has soared in popularity, which has directly impacted the spread of the phenomenon of fake news.
Przemysław Majerczak, Artur Strzelecki
doaj +1 more source
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by social media, fake news detection has attracted increasing attention. However,
Liu, Huan +3 more
core +2 more sources
Even though misinformation, disinformation, and fake news are not new phenomena, they have received renewed interest since political events such as Brexit and the 2016 U.S. Presidential elections.
Elena Broda, Jesper Strömbäck
semanticscholar +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
The efficacy of fake news corrections in improving memory and belief accuracy may depend on how often adults see false information before it is corrected.
Paige L. Kemp +3 more
doaj +1 more source

