Co-pilot widget for assisting the public in processing US presidential political candidate tweets from Twitter in 2024 US elections candidate choice through sarcasm and stance detection

Ryan, Arthur (2024) Co-pilot widget for assisting the public in processing US presidential political candidate tweets from Twitter in 2024 US elections candidate choice through sarcasm and stance detection. Masters thesis, Dublin, National College of Ireland.

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Abstract

With 50 percent of the world’s population going to the polls to elect new leaders in 2024 it was thought to be relevant to examine what can be done to lessen polarisation and improve quality of discourse online. The gap the paper intends to fill is the prior lack of combined natural language processing (NLP) techniques collected together to raise understanding of media. NLP results were 0.9960 for truth-fake detection, 0.9835 for sarcasm detection and 0.9978 for stance. Additionally, a set of two versions of graphic outcome to make understanding simpler and faster.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Zahoor, Sheresh UNSPECIFIED
Uncontrolled Keywords:	NLP; truth-fake detection; sarcasm detection; stance detection; understanding communications; lower polarization
Subjects:	J Political Science > JK Political institutions (United States) Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Artificial Intelligence
Depositing User:	Ciara O'Brien
Date Deposited:	18 Jun 2025 14:31
Last Modified:	18 Jun 2025 14:31
URI:	https://norma.ncirl.ie/id/eprint/7924

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