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Are crowdsourced analysts MICE or RASCLS?

Gatu, Gustav LU (2020) UNDA23 20201
Department of Political Science
Abstract
Great resources in time and money are being invested in crowdsourced intelligence analysis. The research community and intelligence community alike lack understanding of what motivates people to participate in intelligence analysis. Moreover, motivation to engage in crowdcreation platforms in general is poorly researched. The objective of this study is to explore motivation for appreciated participants to join crowdsourced intelligence analysis. For this thesis, four participants in two different intelligence analysis crowdsourcing initiatives, both on crowdcreation platforms, were interviewed via remote video on their motivations to engage in crowdsourced intelligence analysis. In analysing the data gathered, MICE or RASCLS frameworks... (More)
Great resources in time and money are being invested in crowdsourced intelligence analysis. The research community and intelligence community alike lack understanding of what motivates people to participate in intelligence analysis. Moreover, motivation to engage in crowdcreation platforms in general is poorly researched. The objective of this study is to explore motivation for appreciated participants to join crowdsourced intelligence analysis. For this thesis, four participants in two different intelligence analysis crowdsourcing initiatives, both on crowdcreation platforms, were interviewed via remote video on their motivations to engage in crowdsourced intelligence analysis. In analysing the data gathered, MICE or RASCLS frameworks were applied to compare with how the intelligence community recruits and retains human intelligence sources, i.e. agents on the field. Similarities and differences between the two phenomenons – agent handling vs. crowdsourcing – is examined. This study adds qualitatively rich data on motivations to engage in crowdcreation platforms, and in the intelligence analysis field, to an existing body of research on motivations for participation in crowdsourcing. However, its perhaps most interesting finding is that crowdsourced intelligence analysts, much like human intelligence sources, needn’t necessarily be knowingly engaged with an intelligence community to be an appreciated contributor. (Less)
Please use this url to cite or link to this publication:
author
Gatu, Gustav LU
supervisor
organization
alternative title
Exploring the ”Why” for Crowdsourced Intelligence Analysts
course
UNDA23 20201
year
type
L2 - 2nd term paper (old degree order)
subject
keywords
Crowdsourcing, Motivation, Intelligence Analysis, Crowdcreation, Intelligence
language
English
id
9011498
date added to LUP
2020-06-16 09:01:58
date last changed
2020-06-16 09:01:58
@misc{9011498,
  abstract     = {{Great resources in time and money are being invested in crowdsourced intelligence analysis. The research community and intelligence community alike lack understanding of what motivates people to participate in intelligence analysis. Moreover, motivation to engage in crowdcreation platforms in general is poorly researched. The objective of this study is to explore motivation for appreciated participants to join crowdsourced intelligence analysis. For this thesis, four participants in two different intelligence analysis crowdsourcing initiatives, both on crowdcreation platforms, were interviewed via remote video on their motivations to engage in crowdsourced intelligence analysis. In analysing the data gathered, MICE or RASCLS frameworks were applied to compare with how the intelligence community recruits and retains human intelligence sources, i.e. agents on the field. Similarities and differences between the two phenomenons – agent handling vs. crowdsourcing – is examined. This study adds qualitatively rich data on motivations to engage in crowdcreation platforms, and in the intelligence analysis field, to an existing body of research on motivations for participation in crowdsourcing. However, its perhaps most interesting finding is that crowdsourced intelligence analysts, much like human intelligence sources, needn’t necessarily be knowingly engaged with an intelligence community to be an appreciated contributor.}},
  author       = {{Gatu, Gustav}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Are crowdsourced analysts MICE or RASCLS?}},
  year         = {{2020}},
}