Disruption and Deception in Crowdsourcing: Towards a Crowdsourcing Risk Framework

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dc.contributor.authorOnuchowska, Agnieszka
dc.contributor.authorde Vreede, Gert-Jan
dc.date.accessioned2017-12-28T01:58:27Z
dc.date.available2017-12-28T01:58:27Z
dc.date.issued2018-01-03
dc.description.abstractWhile 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.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.498
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50386
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTruth and Lies: Deception and Cognition on the Internet
dc.subjectConfidentiality-Integrity-Availability (CIA) Risks and Controls, Crowdsourcing Threats, Disruption and Deception in Crowdsourcing
dc.titleDisruption and Deception in Crowdsourcing: Towards a Crowdsourcing Risk Framework
dc.typeConference Paper
dc.type.dcmiText

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Truth and Lies: Deception and Cognition on the Internet