Rumors at the speed of light?: Modeling the rate of rumor transmission during crisis

Li Zeng; Kate Starbird; Emma Spiro

doi:10.1109/HICSS.2016.248

Rumors at the speed of light? Modeling the rate of rumor transmission during crisis

Li Zeng^*, Kate Starbird, Emma Spiro

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Social media have become an established feature of the dynamic information space that emerges during crisis events. Both emergency responders and the public use these platforms to search for, disseminate, challenge, and make sense of information during crises. In these situations rumors also proliferate, but just how fast such information can spread is an open question. We address this gap, modeling the speed of information transmission to compare retransmission times across content and context features. We specifically contrast rumor-affirming messages with rumor-correcting messages on Twitter during a notable hostage crisis to reveal differences in transmission speed. Our work has important implications for the growing field of crisis informatics.

Original language	English
Title of host publication	2016 49th Hawaii International Conference on Systems Science (HICSS)
Publisher	IEEE
Pages	1969-1978
DOIs	https://doi.org/10.1109/HICSS.2016.248
Publication status	Published - 2016
Externally published	Yes

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title = "Rumors at the speed of light?: Modeling the rate of rumor transmission during crisis",

abstract = "Social media have become an established feature of the dynamic information space that emerges during crisis events. Both emergency responders and the public use these platforms to search for, disseminate, challenge, and make sense of information during crises. In these situations rumors also proliferate, but just how fast such information can spread is an open question. We address this gap, modeling the speed of information transmission to compare retransmission times across content and context features. We specifically contrast rumor-affirming messages with rumor-correcting messages on Twitter during a notable hostage crisis to reveal differences in transmission speed. Our work has important implications for the growing field of crisis informatics.",

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AB - Social media have become an established feature of the dynamic information space that emerges during crisis events. Both emergency responders and the public use these platforms to search for, disseminate, challenge, and make sense of information during crises. In these situations rumors also proliferate, but just how fast such information can spread is an open question. We address this gap, modeling the speed of information transmission to compare retransmission times across content and context features. We specifically contrast rumor-affirming messages with rumor-correcting messages on Twitter during a notable hostage crisis to reveal differences in transmission speed. Our work has important implications for the growing field of crisis informatics.

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DO - 10.1109/HICSS.2016.248

M3 - Conference contribution

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BT - 2016 49th Hawaii International Conference on Systems Science (HICSS)

PB - IEEE

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Rumors at the speed of light? Modeling the rate of rumor transmission during crisis

Abstract

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