I study people's attitudes towards new big data technologies such as crime surveillance technologies, hiring algorithms etc. Using a moral psychological perspective, I study the extent to which people moralize the use of big data technologies. I assess factors such as justice concerns, moral foundation of harm, fairness, and liberty that underlie moralization of these attitudes, and persuasion strategies that change people's attitudes as well as lead to demoralization of their attitudes. My projects also assess how people make tradeoffs between benefits of the technologies and privacy protection and when people are willing to give up their privacy to receive these benefits. I am currently working on how people make privacy decisions in interdependent situations where their decision could have consequences for other people. Since many of the new technologies are of an interdependent nature, this project seeks to provide insights that could further develop policies.


Recent publications

  1. Self-interest and data protection drive the adoption and moral accept…

    Kodapanakkal, R. I., Brandt, M. J., Kogler, C., & Van Beest, I. (2020). Self-interest and data protection drive the adoption and moral acceptability of big data technologies: A conjoint analysis approach. Computers in Human Behavior, 108, [106303].

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