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Approaches to Identify Fake News: A Systematic Literature Review · Study

WorkApproaches to Identify Fake News: A Systematic Literature Review

Dylan de Beer2020

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Workgreen2020

Approaches to Identify Fake News: A Systematic Literature Review

Dylan de Beer · Machdel C Matthee

122 citations·0/0 files stored·Lecture notes in networks and systems

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Misinformation and Its Impacts Complex Network Analysis Techniques Spam and Phishing Detection

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2018The spread of low-credibility content by social bots 2017CSI 2019Fighting misinformation on social media using crowdsourced judgments of news source quality 2011Rumor has it: Identifying Misinformation in Microblogs 2017This Just In: Fake News Packs A Lot In Title, Uses Simpler, Repetitive Content in Text Body, More Similar To Satire Than Real News n.d.The spread of low-credibility content by social bots 2017Automatic Detection of Fake News 2015Misleading Online Content

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2021Optimization and improvement of fake news detection using deep learning approaches for societal benefit 2021Fake news detection: a survey of evaluation datasets

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2022A Hybrid Linguistic and Knowledge-Based Analysis Approach for Fake News Detection on Social Mediaarticle · 6 shared references 2018False Information on Web and Social Media: A Surveypreprint · 5 shared references 2019Fighting post-truth using natural language processing: A review and open challengesarticle · 5 shared references 2020Deep learning for misinformation detection on online social networks: a survey and new perspectivesreview · 4 shared references 2020A systematic literature review on disinformation: Toward a unified taxonomical frameworkreview · 4 shared references 2021Sentiment Analysis for Fake News Detectionarticle · 4 shared references

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Year2020

Typeother

Published2020-05-26

VenueLecture notes in networks and systems

ISSN-L2367-3370

Languageen

Citations122

Files0 public / 0

ShelfMisinformation and Its Impacts

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doi10.1007/978-3-030-49264-9_2

openalex_workW3030720765

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