Cited by 26Misinformation and Its ImpactsComplex Network Analysis TechniquesSpam and Phishing Detection

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Modeling Bursty Temporal Pattern of Rumors

Open access
Kwon, Sejeong, Cha, Meeyoung·2014·Proceedings of the International AAAI Conference on Web and Social Media

Abstract

Online social networks enable fast and wide diffusion of rumors, which could be potential threats to the society. Understanding the rumor spreading mechanism is therefore essential. This demo presents an agent-pattern based model that can explain the spiky temporal diffusion pattern of rumors. The demo platform provides an interface allowing users to check a wide set of parameters contribute to the characteristic temporal pattern of rumors.

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Crossref · 10.1609/icwsm.v8i1.14494

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  • Rumour popularity tends to fluctuate over time on social media and other internet platforms, but may be discussed again after popularity fades.

    “Other studies looking at temporal patterns of rumours have suggested that their popularity tends to fluctuate over time in social media (Kwon et al. 2013;Kwon and Cha 2014;Lukasik et al. 2015b) and other platforms on the internet (Jo 2002), but with a possibility of being discussed again later in time after rumour popularity fades.”

    From Detection and Resolution of Rumours in Social Media: A Survey (2019) · cites this paper as Kwon and Cha 2014

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Research works printed but not linked: 1

  1. Kwon, S.; Cha, M.; Jung, K.; Chen, W.; and Wang, Y. 2013. Prominent features of rumor propagation in online social media. In proc. of IEEE International Conference on Data Mining.

Cited by

Sorted by citations

  • Detection and Resolution of Rumours in Social Media: A Survey

    Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 862

    “…looking at temporal patterns of rumours have suggested that their popularity tends to fluctuate over time in social media [Kwon et al. 2013; Kwon and Cha 2014; Lukasik et al. 2015b] and other platforms on the Internet [Jo 2002], but with a possibility of being discussed again later in time after…”
    Background

Metadata

Authors
Kwon, S., & Cha, M.
Affiliations
Korea Advanced Institute of Science and Technology (KR)
Venue
Proceedings of the International AAAI Conference on Web and Social Media
Published
2014-05-16
Volume
8
Issue
1
Pages
650-651
ISSN
  • 2162-3449 (ISSN-L)
  • 2334-0770
OpenAlex
W2263969377
Cited by
26
References
0
Citations by year
2025: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 5 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 4 · 2016: 3 · 2015: 3
FWCI
12.46
Type
conference paper
Language
en
Open access
Locations
  • Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
  • AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords
rumor propagation, social networking sites, agent-based modeling, parameter sensitivity

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