About: SGG: Spinbot, Grammarly and GloVe based Fake News Detection

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: SGG: Spinbot, Grammarly and GloVe based Fake News Detection Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	SGG: Spinbot, Grammarly and GloVe based Fake News Detection
Creator	Gautam, Akansha Rao, Koteswar
source	ArXiv
abstract	Recently, news consumption using online news portals has increased exponentially due to several reasons, such as low cost and easy accessibility. However, such online platforms inadvertently also become the cause of spreading false information across the web. They are being misused quite frequently as a medium to disseminate misinformation and hoaxes. Such malpractices call for a robust automatic fake news detection system that can keep us at bay from such misinformation and hoaxes. We propose a robust yet simple fake news detection system, leveraging the tools for paraphrasing, grammar-checking, and word-embedding. In this paper, we try to the potential of these tools in jointly unearthing the authenticity of a news article. Notably, we leverage Spinbot (for paraphrasing), Grammarly (for grammar-checking), and GloVe (for word-embedding) tools for this purpose. Using these tools, we were able to extract novel features that could yield state-of-the-art results on the Fake News AMT dataset and comparable results on Celebrity datasets when combined with some of the essential features. More importantly, the proposed method is found to be more robust empirically than the existing ones, as revealed in our cross-domain analysis and multi-domain analysis.
has issue date	2020-08-16(xsd:dateTime)
has license	arxiv
sha1sum (hex)	bfbed226c13ca49d364635ee0f6fdc7cdb5832c3
resource representing a document's title	SGG: Spinbot, Grammarly and GloVe based Fake News Detection
resource representing a document's body	covid:bfbed226c13ca49d364635ee0f6fdc7cdb5832c3#body_text
is schema:about of	named entity 'unearthing' named entity 'consumption' named entity 'paraphrasing' named entity 'However' named entity 'misinformation' »more»

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software