HIGHLIGHTS
- What: As an example of the latter case, a longitudinal experimental study focusing on Twitter users with positive discussions on immigration and anti-immigrant sentiments revealed that the most persuasive effect was achieved when a social robot initially posted content opposing immigration and gradually shifted to more supportive content.
- Who: Yuqing Liu from the Hunan Normal University, Lushan Road, Changsha City, China have published the article: Research on Algorithmic Gender Bias under the Paradigm of Machine Behavior Studies, in the : Proceedings of the 2nd International Conference on Social Psychology and Humanity Studies
SUMMARY . . .
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