Disruption and Deception in Crowdsourcing: Towards a Crowdsourcing Risk Framework

dc.contributor.author Onuchowska, Agnieszka
dc.contributor.author de Vreede, Gert-Jan
dc.date.accessioned 2017-12-28T01:58:27Z
dc.date.available 2017-12-28T01:58:27Z
dc.date.issued 2018-01-03
dc.description.abstract While crowdsourcing has become increasingly popular among organizations, it also has become increasingly susceptible to unethical and malicious activities. This paper discusses recent examples of disruptive and deceptive efforts on crowdsourcing sites, which impacted the confidentiality, integrity, and availability of the crowdsourcing efforts’ service, stakeholders, and data. From these examples, we derive an organizing framework of risk types associated with disruption and deception in crowdsourcing based on commonalities among incidents. The framework includes prank activities, the intentional placement of false information, hacking attempts, DDoS attacks, botnet attacks, privacy violation attempts, and data breaches. Finally, we discuss example controls that can assist in identifying and mitigating disruption and deception risks in crowdsourcing.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.498
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50386
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Truth and Lies: Deception and Cognition on the Internet
dc.subject Confidentiality-Integrity-Availability (CIA) Risks and Controls, Crowdsourcing Threats, Disruption and Deception in Crowdsourcing
dc.title Disruption and Deception in Crowdsourcing: Towards a Crowdsourcing Risk Framework
dc.type Conference Paper
dc.type.dcmi Text
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