SWARM: Flash mobs, mobile clubbing and the city

Kaulingfreks, Ruud; Warren, Samantha

doi:10.1080/14759551.2010.503498

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…Gore notes that it is a concept in flux, moving away from an initial definition as 'pointless' performance activity, 'gratuitous acts of fun' to become alternately associated with 'celebration, political activism and commercial advertisement'. Kaulingfreks [9] describe such activities in positive terms as 'demonstrating a remarkable capacity of self-organisation', accepting a characterisation of them as a reflection of the community unfiltered through the best intentions of the planner or politician. Such activities share some dependence on technologies with much more sinister manifestations of swarm behavior.…”

Section: A Social Network and 'Socialised Communication'mentioning

confidence: 98%

Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring

Tonkin

Pfeiffer

2013

2013 IEEE 13th International Conference on Data Mining Workshops

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Social networks such as Facebook, Orkut and so on, are repositories of information that are viewed as users' opinions. However, data mining across multiple social websites can reveal valuable factual information for both monitoring and reconstructing events. Crowdsourcing can be used on these sites to monitor 'flash mob' group behaviors, loosely or formally planned activities, such as 'zombie walks'. In certain contexts, these walks are 'marketed' to social site users in order to promote charitable or social engagements; in others, analysis suggests that participation is a form of political engagement. We use multi-platform information extraction to build an atlas of geographic and demographic events, which leads us to compelling, yet imperfect, understanding of why events are successful and regionally relevant factors that encourage people to pick up behaviors or participate in movements. More generally, this case study confirms that 'big-data'-led analysis of this kind is reasonably straightforward and rewarding, as well as providing a useful basis for Bayesian reasoning: the use of available evidence to evaluate propositions about this type of events.

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Section: A Social Network and 'Socialised Communication'mentioning

confidence: 98%

Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring

Tonkin

Pfeiffer

2013

2013 IEEE 13th International Conference on Data Mining Workshops

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“…Yet, they are characteristic of emancipating spaces: They are inclusive, participative, and are “highly visible forms of resistance […] instrumental in mobilizing publics” and creating “new links between participants and uninformed bystanders who are then invited to take part in the event impromptu, through playing” (Ozalp et al, 2011: 56). They have “the potential to attain political goals” (Kaulingfreks and Warren, 2010: 244). These new temporal events can foster participation and cooperation between strangers (Ozalp et al, 2011), overcoming the barrier of the other and mitigating the fear of the public (Kirby, 2008).…”

Section: Four Types Of Spacementioning

confidence: 99%

Conceptualizing spatial types

Castilhos

Dolbec

2017

Marketing Theory

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In this essay, we develop a typology of spaces. We highlight the broader dynamics at play in the structuring of space and its role in marketing and propose that spaces can be characterized as either public, market, emancipating, or segregating. These four types of space are structured along two main dynamics: a contradiction between contestation and consensus and a contrariety opposing participation to privatization. For each type, we map out existing literature and research opportunities in the study of consumption, markets, and space. We also analyze the possible transitions between the spatial types following the transformations in the arrangement of forces in society. We offer a template of how to devise novel research opportunities by providing a detailed account of the dynamics at the center of the transition from public to market spaces.

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Kollektivitäten

Couldry¹,

Hepp²

2023

Die Mediale Konstruktion Der Wirklichkeit

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SWARM: Flash mobs, mobile clubbing and the city

Cited by 9 publications

References 17 publications

Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring

Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring

Conceptualizing spatial types

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