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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.
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
Recent years have witnessed an explosion of science conspiracy videos on the Internet, challenging science epistemology and public understanding of science.
