Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …
for real-time information dissemination. It has become an open stage for discussion …
A systematic literature review on disinformation: Toward a unified taxonomical framework
E Kapantai, A Christopoulou, C Berberidis… - New media & …, 2021 - journals.sagepub.com
The scale, volume, and distribution speed of disinformation raise concerns in governments,
businesses, and citizens. To respond effectively to this problem, we first need to …
businesses, and citizens. To respond effectively to this problem, we first need to …
Jury learning: Integrating dissenting voices into machine learning models
Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks
ranging from online comment toxicity to misinformation detection to medical diagnosis …
ranging from online comment toxicity to misinformation detection to medical diagnosis …
Desinformación en tiempos de pandemia: tipología de los bulos sobre la Covid-19
R Salaverría, N Buslón… - Profesional de …, 2020 - revista.profesionaldelainformacion …
Se presenta un análisis de contenido de todos los bulos (N= 292) relacionados con la
pandemia Covid-19 identificados por las tres plataformas de verificación acreditadas en …
pandemia Covid-19 identificados por las tres plataformas de verificación acreditadas en …
defend: Explainable fake news detection
In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …
has been studied, producing some promising early results. While important, however, we …
FNDNet–a deep convolutional neural network for fake news detection
RK Kaliyar, A Goswami, P Narang, S Sinha - Cognitive Systems Research, 2020 - Elsevier
With the increasing popularity of social media and web-based forums, the distribution of fake
news has become a major threat to various sectors and agencies. This has abated trust in …
news has become a major threat to various sectors and agencies. This has abated trust in …
Fake news detection on social media using geometric deep learning
Social media are nowadays one of the main news sources for millions of people around the
globe due to their low cost, easy access and rapid dissemination. This however comes at the …
globe due to their low cost, easy access and rapid dissemination. This however comes at the …
: Similarity-aware multi-modal fake news detection
Effective detection of fake news has recently attracted significant attention. Current studies
have made significant contributions to predicting fake news with less focus on exploiting the …
have made significant contributions to predicting fake news with less focus on exploiting the …
Fake news early detection: A theory-driven model
Massive dissemination of fake news and its potential to erode democracy has increased the
demand for accurate fake news detection. Recent advancements in this area have proposed …
demand for accurate fake news detection. Recent advancements in this area have proposed …
Fake news detection: A survey of graph neural network methods
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …
methods for capturing, distinguishing, and filtering real and fake news are becoming …