Affect-oriented fake news detection using machine learning
Affect-oriented fake news detection using machine learning
Among all other media platforms, online social media plays an important role in sharing news and information along with user opinion. This quick propagation and accumulation of information form a data deluge where it is very hard to believe all the pieces of information even
though it appears to be very realistic.
Fake News Detection
402-404
Kadan, Anoop
9cc17e26-a329-49fe-b73b-2fce75084966
28 February 2020
Kadan, Anoop
9cc17e26-a329-49fe-b73b-2fce75084966
Kadan, Anoop
(2020)
Affect-oriented fake news detection using machine learning.
In,
AWSAR Awarded Popular Science Stories By Scientists for the People 2019.
Vigyan Prasar, DST, .
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Abstract
Among all other media platforms, online social media plays an important role in sharing news and information along with user opinion. This quick propagation and accumulation of information form a data deluge where it is very hard to believe all the pieces of information even
though it appears to be very realistic.
Text
80_Mr._Anoop_Kadan
- Accepted Manuscript
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Published date: 28 February 2020
Keywords:
Fake News Detection
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Local EPrints ID: 494621
URI: http://eprints.soton.ac.uk/id/eprint/494621
PURE UUID: 2522ad6b-9836-4d66-aa99-0e5be40cbcbb
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Date deposited: 11 Oct 2024 16:32
Last modified: 31 Oct 2024 03:15
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Author:
Anoop Kadan
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