InfoPattern: Unveiling Information Propagation Patterns in Social Media

• URL: http://arxiv.org/abs/2311.15642v1
• Date: Mon, 27 Nov 2023 09:12:35 GMT
• Title: InfoPattern: Unveiling Information Propagation Patterns in Social Media
• Authors: Chi Han, Jialiang Xu, Manling Li, Hanning Zhang, Tarek Abdelzaher and Heng Ji
• Abstract summary: InfoPattern centers on the interplay between language and human ideology. The demo is capable of: (1) red teaming to simulate adversary responses from opposite ideology communities; (2) stance detection to identify the underlying political sentiments in each message; (3) information propagation graph discovery to reveal the evolution of claims across various communities over time.
• Score: 59.67008841974645
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Social media play a significant role in shaping public opinion and influencing ideological communities through information propagation. Our demo InfoPattern centers on the interplay between language and human ideology. The demo (Code: https://github.com/blender-nlp/InfoPattern ) is capable of: (1) red teaming to simulate adversary responses from opposite ideology communities; (2) stance detection to identify the underlying political sentiments in each message; (3) information propagation graph discovery to reveal the evolution of claims across various communities over time. (Live Demo: https://incas.csl.illinois.edu/blender/About )

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