Disruption and Deception in Crowdsourcing: Towards a Crowdsourcing Risk Framework

Date
2018-01-03
Authors
Onuchowska, Agnieszka
de Vreede, Gert-Jan
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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.
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Truth and Lies: Deception and Cognition on the Internet, Confidentiality-Integrity-Availability (CIA) Risks and Controls, Crowdsourcing Threats, Disruption and Deception in Crowdsourcing
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