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Extracting and Visualizing Narratives from Social Video Sharing Platforms

Authors:
Nitin Agarwal
Hayder Alrubaye
Muhammad Nihal Hussain
Thomas Marcoux
Sruthi Kompalli
Gaurav Raj Thapa
Mayor Inna Gurung

Keywords: narrative visualizations; narrative; social video platforms; narrative extraction; YouTube

Abstract:
Social video sharing platforms are intended to allow users to associate with similar people to share their beliefs and encourage democracy. Nevertheless, deviant actors have used them to subvert the system. Deviant groups collaborate on digital platforms to propagate fake news, misinformation, and disinformation because of the anonymity and perceived lower individual risk. Agenda setting, content framing, and weaponizing narratives are strategically employed to radicalize mobs and cause hysteria on uncontrolled social video sharing platforms, such as YouTube, which give a richer space for content development. Recent events and protests orchestrated via those platforms highlight the essential need for systems that can detect these fringe ideologies from the start. In this work, we show how to use a narrative visualization tool to help analysts find major topics and related narratives. The tool is based on a previously released framework for extracting narratives from video posts and is open to the public.

Pages: 16 to 22

Copyright: Copyright (c) IARIA, 2022

Publication date: May 22, 2022

Published in: conference

ISSN: 2519-8351

ISBN: 978-1-61208-979-9

Location: Venice, Italy

Dates: from May 22, 2022 to May 26, 2022