Cited by 72

Characterizing Online Rumoring Behavior Using Multi-Dimensional Signatures

Maddock, Jim, Starbird, Kate, Al-Hassani, Haneen J., Sandoval, Daniel E., Orand, Mania, Mason, Robert M.·2015·Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing

Abstract

This study offers an in-depth analysis of four rumors that spread through Twitter after the 2013 Boston Marathon Bombings. Through qualitative and visual analysis, we describe each rumor's origins, changes over time, and relationships between different types of rumoring behavior. We identify several quantitative measures-including temporal progression, domain diversity, lexical diversity and geolocation features-that constitute a multi-dimensional signature for each rumor, and provide evidence supporting the existence of different rumor types. Ultimately these signatures enhance our understanding of how different kinds of rumors propagate online during crisis events. In constructing these signatures, this research demonstrates and documents an emerging method for deeply and recursively integrating qualitative and quantitative methods for analysis of social media trace data.

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Crossref · 10.1145/2675133.2675280

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Maddock et al. (2015) identified seven behavioural reactions to rumours: misinformation, speculation, correction, question, hedge, unrelated, or neutral/other.

    “Maddock et al. (2015) looked at the origins and changes of rumours over time, which led to the identification of seven behavioural reactions to rumours: misinformation, speculation, correction, question, hedge, unrelated, or neutral/other.”

    From Detection and Resolution of Rumours in Social Media (2019) · cites this paper as Maddock et al. 2015

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Authors
Maddock, J., Starbird, K., Al-Hassani, H. J., Sandoval, D. E., Orand, M., & Mason, R. M.
Affiliations
University of Washington, Seattle, WA, USA
Venue
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing
Publisher
ACM
Published
2015-02-28
Pages
228-241
Cited by
72
References
1
Funders
National Science Foundation (1342252)

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