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cs.HC2025
A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories
Daniel Raffini, Agnese Macori, Marco Angelini +1
The paper explores the study of gender-based narrative biases in stories generated by ChatGPT, Gemini, and Claude. The prompt design draws on Propp's character classifications and…
cs.HC2025
How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments
Daniel Raffini, Agnese Macori, Lorenzo Porcaro +2
This study examines the rhetorical and linguistic features of argumentative texts generated by ChatGPT on ethically nuanced topics and investigates their persuasive impact on human…