An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks

Mohammed Al-Sarem; Faisal Saeed; Zeyad Al-Mekhlafi; Badiea Mohammed; Mohammed Hadwan; Tawfik Al-Hadhrami; Mohammad Alshammari; Abdulrahman Alreshidi; Talal Alshammari

An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks

Mohammed Al-Sarem, Faisal Saeed, Zeyad Al-Mekhlafi, Badiea Mohammed, Mohammed Hadwan, Tawfik Al-Hadhrami, Mohammad Alshammari, Abdulrahman Alreshidi, Talal Alshammari

Research output: Contribution to journal › Article › peer-review

17 Citations (SciVal)

Original language	English
Journal	Applied Sciences (Switzerland)
Volume	11
Issue number	20
Publication status	Published (VoR) - 13 Oct 2021

Keywords

ANOVA-test; clickbait news; feature selection; social network

Access to Document

https://www.mdpi.com/2076-3417/11/20/9487

Cite this

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title = "An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks",

keywords = "ANOVA-test; clickbait news; feature selection; social network",

author = "Mohammed Al-Sarem and Faisal Saeed and Zeyad Al-Mekhlafi and Badiea Mohammed and Mohammed Hadwan and Tawfik Al-Hadhrami and Mohammad Alshammari and Abdulrahman Alreshidi and Talal Alshammari",

year = "2021",

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language = "English",

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T1 - An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks

AU - Al-Sarem, Mohammed

AU - Saeed, Faisal

AU - Al-Mekhlafi, Zeyad

AU - Mohammed, Badiea

AU - Hadwan, Mohammed

AU - Al-Hadhrami, Tawfik

AU - Alshammari, Mohammad

AU - Alreshidi, Abdulrahman

AU - Alshammari, Talal

PY - 2021/10/13

Y1 - 2021/10/13

KW - ANOVA-test; clickbait news; feature selection; social network

M3 - Article

SN - 2076-3417

VL - 11

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 20

ER -

An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks

Keywords

Access to Document

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Cite this