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Combating misinformation in the age of llms: Opportunities and challenges
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 …
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 …
authentic news, often to influence political views. Fabricated news articles are a threat to …
A survey on automated fact-checking
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
However, the recent popularity of ChatGPT is altering this trend. Despite this popularity, no …
[HTML][HTML] Sentiment analysis for fake news detection
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 …
information created with the intention of deception. The dissemination of this type of news …