Home // eKNOW 2023, The Fifteenth International Conference on Information, Process, and Knowledge Management // View article
Authors:
Mustafa Alassad
Nitin Agarwal
Keywords: Indo-Pacific region; Cheng Ho; Multiplex Networks; Complex Network; Entropy; Contextual Focal Structures
Abstract:
Contextual Focal Structure Analysis (CFSA) model aims to improve the discovery and interpretability of focal structure spreaders on social networks. This method can present influential sets of commenters and contexts in terms of specific interaction patterns or narrative structures on YouTube. The CFSA model utilizes multiplex networks, where the data is structured into multiple layers to consider the different activities of the users on social networks. The first layer is the co-commenter network based on two commenters commenting on the same video; then, the second layer is the network between videos and channels that shows to which channel the video belongs. The two layers have interconnections based on the commenters’ activities and the participation relations on different YouTube channels. The model's performance was evaluated through the Cheng Ho disinformation narrative within the Indo-Pacific region on YouTube. The dataset includes more than 36,495 commenters and 145,923 videos on YouTube. The model results showed commenters activities with supplementary contexts in the form of co-commenter-Channels activities. Likewise, this study provides the best answer to “How to explain the dynamic interplay between commenters, videos, and YouTube channels in the Indo-Pacific region?” The research model discovered the most impactful contextual focal structure sets for the YouTube co-commenters network. The results involve popular channels such as "Asumsi," "Erwan Tuinesia," "KOMPASTV," and "metrotvnews," which primarily serve the Indonesian community in the Indo-Pacific region. Nevertheless, it is noteworthy that several of these channels are known for spreading misinformation.
Pages: 65 to 70
Copyright: Copyright (c) IARIA, 2023
Publication date: April 24, 2023
Published in: conference
ISSN: 2308-4375
ISBN: 978-1-68558-082-7
Location: Venice, Italy
Dates: from April 24, 2023 to April 28, 2023