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

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

Published: 01 Jan 2020, Last Modified: 13 Aug 2025Inf. Process. Manag. 2020EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We propose a novel crowd-powered model to detect appropriateness of the videos on social media.•Our experiments with 47 crowd contributors demonstrate the effectiveness of the proposed approach.•The approach detects the unsafe videos with high accuracy (95%) and point out the portion of inappropriateness.