Abstract
As large language models have started to be used to mediate, modify, and generate messages for users, how to enable this process to be more user-centric and trustworthy becomes increasingly important. Our recent work takes a closer look at the social aspect of language via two studies towards building more socially responsible language technologies. The first study analyzes users’ perceived trust in AI-mediated writing and how such perceptions change in accordance with social context, and the second one examines positive reframing by neutralizing a negative point of view and generating a more positive perspective without contradicting its original meaning.
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