Recent attempts to detect fake news have relied on the implementation of machine or deep
learning models that have been trained on text. These models, on the other hand, are …

Software Requirement Specification (SRS) describes a software system to be developed
that captures the functional, non-functional, and technical aspects of the stakeholder's …

This paper presents an approach to identifying political fake news in Spanish using
Transformer architectures. Current methodologies often overlook political news due to the …

The research delves into author profiling, aiming to identify writers' age groups and genders
using extensive textual data. This involves utilizing BERT embeddings to understand …

The surge in information and misinformation during the COVID-19 pandemic, particularly
regarding 5G-related rumors, was prominent on various social media platforms, notably …

The spread of fake content on social media causes increased hatred and social
categorization. Online social media platforms have made it easy for people to share fake …

Fake news has a tremendous impact especially in certain fields like politics and economy in
our society. The rise of social media usage to an extent is in favour of fake/false news …

Fraudulent actions have increased as a result of the growth of online recruitment platforms,
especially when it comes to the creation of false job descriptions intended to trick …

The most popular non-intrusive approach for analyzing electrical brain activity is
electroencephalography (EEG), which is employed comprehensively in mental …

Emotion analysis often relies on annotated data sets, where labels assigned to documents
represent the average or majority opinion of annotators. These models are effective in …