Analyzing flash mobs in cybernetic space and the imminent security threats a collective action based theoretical perspective on emerging sociotechnical behaviors

Samer Al-Khateeb, Nitin Agarwal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Since the occurrence of the first 'flash mob' organized by Bill Wasik (senior editor of the Harper's Magazine) in Manhattan in 2003, flash mob phenomenon has become widespread. Recent journalistic accounts have reported that this form of public engagement can pose significant threats to civil, political, social, and economic stability of a region. Gaps in the scientific understanding of such phenomenon and the imminent security risks posed by such acts call for a need to systematically study them. In this ongoing research, we shed light on the social dynamics of the flash mob phenomenon and build a conceptual model examining the necessary factors for the formation of flash mob and predicting its success or failure. Grounded in the sociological theories of collective action and collective identity formation, we evaluate the mo-tivations of a flash mob practitioner and logically analyze the choices he/she would face with regards to acting or withdrawing from the flash mob. More broadly, this work is an attempt to bridge social and computational sciences that would help clarify and explain manifestations of emerging sociotechnical behaviors such as parkour, campaigns, and social movements that are widely observed.

Original languageEnglish (US)
Title of host publicationSociotechnical Behavior Mining
Subtitle of host publicationFrom Data to Decisions? - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Pages2-5
Number of pages4
ISBN (Electronic)9781577357094
StatePublished - 2015
Externally publishedYes
Event2015 AAAI Spring Symposium - Palo Alto, United States
Duration: Mar 23 2015Mar 25 2015

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS

Conference

Conference2015 AAAI Spring Symposium
Country/TerritoryUnited States
CityPalo Alto
Period3/23/153/25/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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