Propagation Dynamics of Rumor vs. Non-rumor across Multiple Social Media Platforms Driven by User Characteristics Article Swipe

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Dongpeng Hou , Shu Yin , Chao Gao , Xianghua Li , Zhen Wang ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2401.17840

Studying information propagation dynamics in social media can elucidate user behaviors and patterns. However, previous research often focuses on single platforms and fails to differentiate between the nuanced roles of source users and other participants in cascades. To address these limitations, we analyze propagation cascades on Twitter and Weibo combined with a crawled dataset of nearly one million users with authentic attributes. Our preliminary findings from multiple platforms robustly indicate that rumors tend to spread more deeply, while non-rumors distribute more broadly. Interestingly, we discover that the spread of rumors is slower, persists longer, and, in most cases, involves fewer participants than that of non-rumors. And an undiscovered highlight is that reputable active users, termed `onlookers', inadvertently or unwittingly spread rumors due to their extensive online interactions and the allure of sensational fake news. Conversely, celebrities exhibit caution, mindful of releasing unverified information. Additionally, we identify cascade features aligning with exponential patterns, highlight the Credibility Erosion Effect (CEE) phenomenon in the propagation process, and discover the different contents and policies between the two platforms. Our findings enhance current understanding and provide a valuable statistical analysis for future research.

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Rumor Social media Dynamics (music) Computer science Data science World Wide Web Political science Physics Public relations Acoustics

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2401.17840
PDF: https://arxiv.org/pdf/2401.17840
OA Status: green
Cited By: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W4391462946

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OpenAlex ID: https://openalex.org/W4391462946

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DOI: https://doi.org/10.48550/arxiv.2401.17840

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Title: Propagation Dynamics of Rumor vs. Non-rumor across Multiple Social Media Platforms Driven by User Characteristics

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-01-31

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Authors: Dongpeng Hou, Shu Yin, Chao Gao, Xianghua Li, Zhen Wang

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Landing page: https://arxiv.org/abs/2401.17840

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PDF URL: https://arxiv.org/pdf/2401.17840

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Concepts: Rumor, Social media, Dynamics (music), Computer science, Data science, World Wide Web, Political science, Physics, Public relations, Acoustics

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Cited by: 1

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Citations by year (recent): 2025: 1

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Related works (count): 10

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