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InfoTrace: A System for Information Campaign Source Tracing and Analysis on Social Media
Conference proceeding

InfoTrace: A System for Information Campaign Source Tracing and Analysis on Social Media

Linus Xin Wei Cheng, Daniel Wai Kit Chin, Shaun Toh, Wenchuan Mu, James Kay Liang Ong, Kenny Tsu Wei Choo, Roy Ka-Wei Lee and Kwan Hui Lim
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, pp.1-3
ACM Conferences
JCDL '24: 24th ACM/IEEE Joint Conference on Digital Libraries
16/12/2024

Abstract

Computing methodologies -- Artificial intelligence -- Natural language processing Computing methodologies -- Machine learning -- Machine learning approaches -- Neural networks Information systems -- Information retrieval -- Document representation -- Data encoding and canonicalization Information systems -- Information retrieval -- Retrieval tasks and goals -- Clustering and classification
Social media platforms have become integral to daily life and serve as powerful channels for influencing public opinion, spanning applications from viral marketing to disinformation campaigns. While these platforms amplify the reach of marketing efforts, they also present significant risks when used for spreading misinformation via campaigns. Thus, it is crucial to understand such information campaigns by identifying the source, the different discussion topics within this campaign and how they change over time. Towards addressing this problem, we develop and present an interactive system for information campaign source tracing and analysis. This includes a demonstration and visualization of the main components of a information campaign, including the source of the campaign via explicit and implicit links, the discussion topics/clusters, their content, and how these evolve over different time periods.

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