Identifying textual disinformation using Large Language Models
Author:
Affiliation:
1. Institute for Web Science and Technologies, University Koblenz, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3627508.3638315
Reference18 articles.
1. BBC News. [n. d.]. BBC: Fighting Covid-19 fake news in Africa.https://www.bbc.co.uk/news/resources/idt-e7e3acde-9cdf-4b53-b469-ef6e87a66411. [Accessed 18-10-2023].
2. The role of artificial intelligence in disinformation
3. Reading Between the Lies: A Classification Scheme of Types of Reply to Misinformation in Public Discussion Threads
4. CWU libraries. [n. d.]. Misinformation & Fake News: A guide to discerning fake news sources including articles videos and links to other resources. https://libguides.lib.cwu.edu/c.php?g=625394&p=4391900. [Accessed 18-10-2023].
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