Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

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 …

A survey on automated fact-checking

Z Guo, M Schlichtkrull, A Vlachos - Transactions of the Association for …, 2022 - direct.mit.edu
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

RK Kaliyar, A Goswami, P Narang - Multimedia tools and applications, 2021 - Springer
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …

[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach

JA Nasir, OS Khan, I Varlamis - International journal of information …, 2021 - Elsevier
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

Fake news detection: A survey of graph neural network methods

HT Phan, NT Nguyen, D Hwang - Applied Soft Computing, 2023 - Elsevier
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 …

Semeval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup

J Piskorski, N Stefanovitch… - Proceedings of the …, 2023 - aclanthology.org
We describe SemEval-2023 task 3 on Detecting the Category, the Framing, and the
Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task …

GCAN: Graph-aware co-attention networks for explainable fake news detection on social media

YJ Lu, CT Li - arxiv preprint arxiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …

Is stack overflow obsolete? an empirical study of the characteristics of chatgpt answers to stack overflow questions

S Kabir, DN Udo-Imeh, B Kou, T Zhang - … of the 2024 CHI Conference on …, 2024 - dl.acm.org
Q&A platforms have been crucial for the online help-seeking behavior of programmers.
However, the recent popularity of ChatGPT is altering this trend. Despite this popularity, no …

[HTML][HTML] Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …