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Fall for One, Fall for All: Understanding Deception Detection in Phishing Emails, Scam Texts Messages, and Fake News Headlines
SessionPoster Session 2
DescriptionIn the modern digital era, deception is an inevitable online presence. Research has explored how individuals fall for online deceptions such as phishing emails and fake news headlines. However, no work has explored whether the same users may be vulnerable to multiple methods of online deception and whether there are overlapping predictors of vulnerability across tasks. The present study explores similarities in users’ classifications for phishing emails, fake news headlines, and scam text messages. Results suggest that individuals who struggle to discriminate between deceptive and legitimate stimuli on one task are likely to experience similar difficulties on the other tasks. Additionally, lower levels of digital literacy and cognitive reflectiveness predicted poorer discrimination abilities across all three tasks. Overall, individuals who fall for one form of online deception are more likely to fall for other forms of deception, and digital literacy and cognitive reflectiveness can predict widespread vulnerability to online deception.