Why behavioural insights matter
Behavioural insights can help understand how cognitive biases and decision-making processes may be exploited in online environments. Such exploitation can range from simply disclosing more information than intended to companies, all the way to attackers aiming to maliciously compromise users’ safety and privacy.
Examples include:
- Framing effects: The way information is presented can influence a person's decision-making process. For instance, describing the potential outcome of online behaviour with messages endorsing safe, protective behaviours may lead to less secure behaviour than loss-framed messages warning of the consequences of risky action.
- Social proof: People tend to follow the actions of others, assuming that if others are doing it, it must be safe. Attackers exploit this by creating fake endorsements or positive reviews to make users trust malicious websites or download suspicious files.
- Curiosity bias: Humans have a natural curiosity to explore and discover new things, even if it involves risk. Attackers exploit this by crafting clickbait headlines or messages to entice users to click on malicious links or download dangerous files.
By recognizing these and other biases, better policy can be designed to protect users online.
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Originally published | 25 Jun 2024 | 08 Jul 2024 |
Knowledge service | Metadata | Behavioural insights |
Digital Europa Thesaurus (DET) | digital skillsdigital technologydigital transformationconsumer behaviourprotection of privacy |