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Martin Dittus

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affiliation: University of Oxford, UK
affiliation (PhD 2017): University College London, UK

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2020 – today

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2020
[c8]
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  - conf/www/MillerEDGW20
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Sam Miller, Abeer ElBahrawy, Martin Dittus, Mark Graham, Joss Wright:
Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets. WWW 2020: 2669-2675

2010 – 2019

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2018
[c7]
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Martin Dittus, Joss Wright, Mark Graham:
Platform Criminalism: The 'Last-Mile' Geography of the Darknet Market Supply Chain. WWW 2018: 277-286
2017
[b1]
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Martin Dittus:
Analysing volunteer engagement in humanitarian crowdmapping. University College London, UK, 2017
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Martin Dittus, Luca Maria Aiello, Daniele Quercia:
Community Engagement Triage: Lightweight Prompts for Systematic Reviews. Proc. ACM Hum. Comput. Interact. 1(CSCW): 39:1-39:22 (2017)
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Martin Dittus, Licia Capra:
Private Peer Feedback as Engagement Driver in Humanitarian Mapping. Proc. ACM Hum. Comput. Interact. 1(CSCW): 40:1-40:18 (2017)
[c6]
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Martin Dittus, Giovanni Quattrone, Licia Capra:
Mass Participation During Emergency Response: Event-centric Crowdsourcing in Humanitarian Mapping. CSCW 2017: 1290-1303
[c5]
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Giovanni Quattrone, Martin Dittus, Licia Capra:
Work Always in Progress: Analysing Maintenance Practices in Spatial Crowd-sourced Datasets. CSCW 2017: 1876-1889
[i1]
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Martin Dittus, Joss Wright, Mark Graham:
Platform Criminalism: The 'Last-Mile' Geography of the Darknet Market Supply Chain. CoRR abs/1712.10068 (2017)
2016
[c4]
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Martin Dittus, Giovanni Quattrone, Licia Capra:
Analysing Volunteer Engagement in Humanitarian Mapping: Building Contributor Communities at Large Scale. CSCW 2016: 108-118
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Martin Dittus:
Large-scale Volunteer Engagement in Humanitarian Mapping. CSCW Companion 2016: 139-142
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Giovanni Quattrone, Martin Dittus, Licia Capra:
Exploring Maintenance Practices in Crowd-Mapping. HT 2016: 285-290
[c1]
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Martin Dittus, Giovanni Quattrone, Licia Capra:
Social Contribution Settings and Newcomer Retention in Humanitarian Crowd Mapping. SocInfo (2) 2016: 179-193
2012
[j1]
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Martin Dittus:
The centre for advanced spatial analysis at University College London, London, UK. XRDS 19(1): 70-71 (2012)

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