ViSSa: Recognizing the appropriateness of videos on social media with on-demand crowdsourcing-Reference-Cited by-同舟云学术

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ViSSa: Recognizing the appropriateness of videos on social media with on-demand crowdsourcing

Published:2020-05 Issue:3 Volume:57 Page:102189
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Mridha Sankar Kumar,Sarkar Braznev,Chatterjee Sujoy,Bhattacharyya Malay

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference56 articles.

1. Mining YouTube metadata for detecting privacy invading harassment and misdemeanor videos;Aggarwal,2014

2. Toward worker-centric crowdsourcing;Amer-Yahia;IEEE Data Engineering Bulletin,2016

3. Detecting spammers on Twitter;Benevenuto,2010

4. Practical detection of spammers and content promoters in online video sharing systems;Benevenuto;IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics),2012

5. Data traffic monitoring and analysis;Biersack,2013

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1. A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning;Entropy;2022-03-05

2. Crowdsourcing as an approach to solving environmental problems by future construction engineers;IOP Conference Series: Materials Science and Engineering;2020-07-01

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