News-to-Meme Generation: Performance Analysis of GPT-3, BLIP and CLIP+GPT Using BBC News Headlines
DOI:
https://doi.org/10.61453/INTIj.20260330Keywords:
Meme Generation, Multimodal AI, GPT-3, BLIP, CLIP, Text-to-ImageAbstract
Making memes has become a powerful way to share cultural and funny commentary. This study assesses the efficacy of AI models in autonomously creating memes from real-world data. The comparative study of three prominent models—GPT-3, BLIP, and CLIP+GPT—utilized 500 BBC news headlines as input prompts. Using a consistent GPT-based evaluation framework, generated memes are rated on five scales: Humor, Relevance, Engagement, Creativity, and Clarity. The findings indicate that GPT-3 excels in Humor and Relevance, CLIP+GPT is superior in Engagement, and BLIP offers balanced results
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