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 …
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
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 …
posing threats to public opinion, political stability, and the dissemination of reliable …
[PDF][PDF] TUDublin at CheckThat!-2023: ChatGPT for Data Augmentation.
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 …
Subjectivity in News Articles. This task is aimed to discern whether a sentence in a news …
Characterizing Text Datasets with Psycholinguistic Features
Fine-tuning pretrained language models on task-specific data is a common practice in
Natural Language Processing (NLP) applications. However, the number of pretrained …
Natural Language Processing (NLP) applications. However, the number of pretrained …
Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation
OCR2SEQ represents an innovative advancement in Optical Character Recognition (OCR)
technology, leveraging a multi-modal generative augmentation strategy to overcome …
technology, leveraging a multi-modal generative augmentation strategy to overcome …
DeBERTNeXT: A Multimodal Fake News Detection Framework
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 …
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 …
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 …
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 …
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 …
and commercial space, the need for large amounts of labeled data has become more crucial …