Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods

FK Alarfaj, JA Khan - Algorithms, 2023 - mdpi.com
The online spread of fake news on various platforms has emerged as a significant concern,
posing threats to public opinion, political stability, and the dissemination of reliable …

[PDF][PDF] TUDublin at CheckThat!-2023: ChatGPT for Data Augmentation.

E Shushkevich, J Cardiff - CLEF (Working Notes), 2023 - ceur-ws.org
This work describes the approach of the TUDublin team at the CheckThat! 2023 Task 2:
Subjectivity in News Articles. This task is aimed to discern whether a sentence in a news …

Characterizing Text Datasets with Psycholinguistic Features

M Monteiro, CK James, M Kloft… - Findings of the …, 2024 - aclanthology.org
Fine-tuning pretrained language models on task-specific data is a common practice in
Natural Language Processing (NLP) applications. However, the number of pretrained …

Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation

M Lowe, JD Prusa, JL Leevy, TM Khoshgoftaar - Journal of Big Data, 2024 - Springer
OCR2SEQ represents an innovative advancement in Optical Character Recognition (OCR)
technology, leveraging a multi-modal generative augmentation strategy to overcome …

DeBERTNeXT: A Multimodal Fake News Detection Framework

K Saha, Z Kobti - International Conference on Computational Science, 2023 - Springer
With the ease of access and sharing of information on social media platforms, fake news or
misinformation has been spreading in different formats, including text, image, audio, and …

Context-Relevant Denoising for Unsupervised Domain-Adapted Sentence Embeddings

M Lowe, JD Prusa, JL Leevy… - … on Information Reuse …, 2024 - ieeexplore.ieee.org
In closed-system domains, such as healthcare databases, record scarcity and data quality
often act as barriers to applying state-of-the-art language processing techniques …

Guarding the Truth: Enhancing Fake Headline Detection using Transformer-Based Encoding and Deep Learning Methods

M Alghobiri - International Journal of Open Information Technologies, 2024 - injoit.ru
Identifying fake news headlines is important in combating misinformation and remains an
active research domain in Natural Language Processing (NLP). Traditional text encodings …

Fake News Detection in Online Platforms

E Shushkevich - 2024 - arrow.tudublin.ie
This thesis presents research conducted during a Ph. D. program at Technological
University Dublin from 2020 to 2024. The objective of this research is to develop and …

OCR2Seq: A Novel Multi-Modal Data Augmentation Pipeline for Weak Supervision

MA Lowe - 2023 - search.proquest.com
With the recent large scale adoption of Large Language Models in multidisciplinary research
and commercial space, the need for large amounts of labeled data has become more crucial …