A comparison of features in a crowdsourced phishing warning system

• Published in: Information systems journal (Oxford, England) Vol. 31; no. 3; pp. 473 - 513
• Main Authors: Nguyen, Christopher, Jensen, Matthew L., Durcikova, Alexandra, Wright, Ryan T.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Inc 01.05.2021; Blackwell Publishing Ltd
• Subjects: Accuracy; Anxiety; Crowdsourcing; Cybercrime; Electronic mail; human‐automation interaction; Messages; Phishing; report source; warning; Warning systems

Initial research on using crowdsourcing as a collaborative method for helping individuals identify phishing messages has shown promising results. However, the vast majority of crowdsourcing research has focussed on crowdsourced system components broadly and understanding individuals' motivation...