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Erschienen in: Quality & Quantity 6/2021

19.02.2021

Crowd counting: a behavioural economics perspective

verfasst von: Peter J. Phillips, Gabriela Pohl

Erschienen in: Quality & Quantity | Ausgabe 6/2021

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Abstract

Developments in technology have facilitated the emergence of new crowd counting organisations. Some of the organisations have established platforms to disseminate their data, making it available to researchers for the first time. These databases promise to increase the quality and quantity of research in various fields. In the late 2010s, specialist crowd counting organisations emerged with the sole purpose of counting crowds at protests and disseminating the results, sometimes in a purely partisan manner. Because of the contemporary relevance of protest behaviour, we frame our discussion within this context. For social scientists considering the utilisation of these new databases, it is essential that crowd numbers be linked to underlying human behaviour in a way that promises a chain of connections to investigate and explore. We use behavioural economics to show why relative crowd size may be important for human decision-makers. And we show how the significance of relative crowd size relates to other aspects of the human decision-making process, including risk preferences and probability assessments. Far from being a theory of protest behaviour, we present a behavioural economics-based primer for empirical researchers and social scientists engaging with newly available crowd counting data. The conclusions may apply in other contexts and might be extended to encompass specific types of behaviour, including aggression and violence. Indeed, the conclusions may guide the analysis of the emergence of the crowd counting organisations themselves.

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Fußnoten
1
See Google’s Ngram Viewer.
 
2
Companies such as CrowdVision and Cohera-Tech count crowds for commercial clients (e.g. shopping centres and museums). These are part of the story of the growth in interest and technology development around crowd counting but we are not specifically interested in these organisations.
 
3
Counting protester numbers is where our interest lies. We discuss the Crowd Counting Consortium and Count Love. The latter is a one-sided counting organisation, set up to count numbers at protests on one side of a particular issue and not both sides of that issue (i.e. not the total crowd).
 
4
The crowd counting consortium (CCC) estimates that up to 9 million people protested in the United States during 2017.
 
5
McPhail et al. (2004, p.12).
 
6
Also see BBC News, January 27 2019.
 
7
Dambeck (2020).
 
8
Tversky et al. (1992) presented a revised and finished form of prospect theory. See Barberis (2013) for a review and summary of prospect theory and its application in economics.
 
9
Kahneman & Tversky deliberately avoid using the term ‘utility’. The value function is, however, a variant of an orthodox utility function.
 
10
This can happen, for example, when a person expects a cost of $500 only to learn that the actual cost will be $200. While still a cost, the $200 represents a $300 ‘gain’ relative to the reference point.
 
11
See Levy (1992, 1996, 1997) who developed the first applications that have since been applied to various problems, including the historical analysis of the decision-making processes applied by both sides during the Cuban Missile Crisis (Haas 2001), the Suez Crisis (Richardson 1993), the Iranian hostage crisis rescue mission (McDermott 1992) and Soviet policy towards Syria prior to the Six Day War (McInerney 1992).
 
12
We avoid using ‘wealth’ because the payoffs allowed within the expected utility and prospect theory frameworks do not have to be monetary. Using monetary terms like wealth obscures this important fact and restricts the apparent applicability of the theories.
 
13
While we are focused on relative crowd sizes, it is important to consider the implications of the following discussion for any goals that a social movement might set for itself.
 
14
We are speaking only of influence on the theory of protest and protest behaviour, not generally, of course.
 
15
Apart from the analysis of certain protest types, especially labour strikes (Ashenfelter et al. 1969; Kennan 1986; Card et al. 1995).
 
16
It should be noted that ‘opportunity structure’ for protest was a feature of the literature as early as the 1970s, though without the rational choice component (see Eisinger 1973; Tilly 1978).
 
17
Of course, developments continued to be placed upon these foundations. For example, see Marsh (1977) and Loftland (1985).
 
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Metadaten
Titel
Crowd counting: a behavioural economics perspective
verfasst von
Peter J. Phillips
Gabriela Pohl
Publikationsdatum
19.02.2021
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 6/2021
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-021-01117-7

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