Researchers from the University of Pennsylvania showed that a person's distrust of people predicts that
The researchers recruited 676 participants from the United States.They were told that they were helping to test a content moderation system that was in development. The organizers handed out definitions of hate speech and suicidal thoughts, after which each participant was shown four social media posts. Some posts have been flagged as matching these definitions. Participants were also told whether the decision to tag a post was made by AI, a human, or a combination of the two.
It turned out that individual differences, such asdistrust of others and power consumption predict whether users will cite the positive or negative characteristics of machines when faced with an AI-based system for content moderation, which will ultimately affect their trust in the system.
At the same time, "experienced users" who activelyuse information technology, had less confidence in AI moderators because they believed that machines lacked the ability to detect the nuances of human language.
Researchers believe that personalizing interfaces based on individual differences can positively impact user experience.
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