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- research-articleJanuary 2023
When the machine learns from users, is it helping or snooping?
AbstractMedia systems that personalize their offerings keep track of users’ tastes by constantly learning from their activities. Some systems use this characteristic of machine learning to encourage users with statements like “the more you use the system,...
Highlights- When a system is transparent about its learning (machine learning cue), users consider the system as a helper.
- When users perceive an AI system to be a helper, their frustration is low and they express more trust in the system.
- ...
- doctoral_thesisJanuary 2022
Impactful Fact-Checking for Science: Communication Strategies applying Artificial Intelligence as the Source of Information
AbstractThis research explores how labeling an information source as AI can help to improve the message credibility of science information and reduce the partisan bias in the evaluation of fact-checking messages in the context of science communication. To ...