Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case-Reference-Cited by-同舟云学术

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Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

Published:2024-12 Issue: Volume:608 Page:128450
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kozik Rafał^ORCID,Kątek Gracjan^ORCID,Gackowska Marta^ORCID,Kula Sebastian^ORCID,Komorniczak Joanna^ORCID,Ksieniewicz Paweł^ORCID,Pawlicka Aleksandra^ORCID,Pawlicki Marek,Choraś Michał

Funder

Horizon Europe

European Commission

National Centre for Research and Development

Publisher

Elsevier BV

Reference31 articles.

1. Post hoc explanations of language models can improve language models;Krishna,2023

2. Transformer based models in fake news detection;Kula,2021

3. I am ChatGPT, the ultimate AI Chatbot! investigating the determinants of users’ loyalty and ethical usage concerns of ChatGPT;Niu;J. Retail. Consum. Serv.,2024

4. ChatGPT or human? Detect and explain. Explaining decisions of machine learning model for detecting short ChatGPT-generated text;Mitrović,2023

5. A comprehensive study of ChatGPT: Advancements, limitations, and ethical considerations in natural language processing and cybersecurity;Alawida;Information,2023

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