Human-Annotated or MLLM-Assisted? A Comparative Evaluation of Filmic Metaphor Identification Using FILMIP-AI
Abstract This study introduces FILMIP-AI, an operationalization of the Filmic Metaphor Identification Procedure (FILMIP) for multimodal large language models (MLLMs) by converting its structured interpretive steps into chain-of-thought (CoT) prompts. We evaluate FILMIP-AI using a sample of 30 TV commercials across thre...