Towards reliable online clickbait video detection: A content-agnostic approach

Lanyu Shang; Daniel (Yue) Zhang; Michael Wang; Shuyue Lai; Dong Wang

doi:10.1016/j.knosys.2019.07.022

Towards reliable online clickbait video detection: A content-agnostic approach

Lanyu Shang
, Daniel (Yue) Zhang
, Michael Wang
, Shuyue Lai
, Dong Wang

Computer Science

University of Notre Dame

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

Original language	English
Article number	104851
Number of pages	11
Journal	Knowledge-Based Systems
Volume	182
DOIs	https://doi.org/10.1016/j.knosys.2019.07.022
State	Published - Oct 15 2019

Keywords

Clickbait video
Content agnostic
Online video sharing
YouTube

Access to Document

10.1016/j.knosys.2019.07.022

Cite this

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title = "Towards reliable online clickbait video detection: A content-agnostic approach",

keywords = "Clickbait video, Content agnostic, Online video sharing, YouTube",

author = "Lanyu Shang and Zhang, \{Daniel (Yue)\} and Michael Wang and Shuyue Lai and Dong Wang",

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issn = "0950-7051",

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T2 - A content-agnostic approach

AU - Shang, Lanyu

AU - Zhang, Daniel (Yue)

AU - Wang, Michael

AU - Lai, Shuyue

AU - Wang, Dong

PY - 2019/10/15

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KW - Clickbait video

KW - Content agnostic

KW - Online video sharing

KW - YouTube

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DO - 10.1016/j.knosys.2019.07.022

M3 - Article

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JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

M1 - 104851

ER -

Towards reliable online clickbait video detection: A content-agnostic approach

Keywords

Access to Document

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