Doon UniversityFake NewsInformation literacyMedia literacyIn this global information age, there has been explosive growth in volume of information with an ever-increasing proportion of factually incorrect information. Fake news is intentionally fabricated news articles or information and has garnered a ...
In an articlepublishedby the Reuters Institute, Bellingcat’s founder Eliot Higgins and Dr. Natalie Martin of the Centre for Media, Politics and Communication Research discuss the growing threat of weaponised information, using the UK news media landscape as a case study. While mi...
In this section, we initially described datasets proposed by us and show some of the baseline methods used to detect fake news. And then we compared MCNN to those baselines and an ablation study that was established to answer the EQ1 and EQ2 respectively. Finally, we examined some typical c...
The increased scholarly focus has been directed to fake news detection given their widespread impact on supply chain disruptions, as was the case with the COVID-19 vaccine. Fake news and misinformation are highly disruptive, which create uncertainty and disruptions not only in society but also in ...
Fake News: The Case of Ukrainehttps://doi.org/10.1515/opis-2019-0011 Received October 2, 2018; accepted June 3, 2019Abstract: We profile the successful Learn to Discern information literacy program, developed in Ukraine in 2015 and now being adapted to the needs of other countries. Drawing ...
we showed participants an invented news headline that was randomised to state either that aNew study shows that left-wing people lie far more than right-wing people, or the reverse (New study shows that right-wing people lie far more than left-wing people). We included this random element ...
False information can be tough to spot, especially if it comes linked to a reputable source (like that fake sleep study that mentioned NASA). But there are a few ways to learn to sort fact from fiction. •Identify common "tells."Some fake news stories follow similar patterns: they're...
Similarly, skeptical attitudes and critical thinking predicted 56.1% of the hits on fake news detection tests. The stress levels of physicians during the coronavirus pandemic were clinically significant. The efficacy of fake news detection increases by 30.7% if the individual was a physician. Study ...
This study requires no metadata related to the user or the media to detect false news. In general, the following are the work’s major contributions: a.: ConFake Dataset: To minimize the overfitting of ML models and facilitate better training, we created a larger ConFake dataset. It combi...
Moreover, the framework's machine learning elements are made to control the dynamic character of false news strategies by means of adaptive algorithms able to detect and react to fresh patterns of dishonesty. This study provides a sound and practical framework that adjusts to the subtleties of ...