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Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals
Using moral content in tweets as a case study, we illustrate the steps to construct the moral foundations vec-tionary, showcasing its ability to process texts missed by conventional dictionaries and word embedding methods and to produce measurements better aligned with crowdsourced human assessments.
How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI
We traced these user experience divides to conversational differences and found that GPT-3 used more negative expressions when it responded to the education and opinion minority groups, compared to its responses to the majority groups.
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