MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation
Han Wang Roy Ka-Wei Lee
Online memes have emerged as powerful digital cultural artifacts in the age
of social media, offering not only humor but also platforms for political
discourse, social critique, and information dissemination. Their extensive
reach and influence in shaping online communities' sentiments make them
invaluable tools for campaigning and promoting ideologies. Despite the
development of several meme-generation tools, there remains a gap in their
systematic evaluation and their ability to effectively communicate ideologies.
Addressing this, we introduce MemeCraft, an innovative meme generator that
leverages large language models (LLMs) and visual language models (VLMs) to
produce memes advocating specific social movements. MemeCraft presents an
end-to-end pipeline, transforming user prompts into compelling multimodal memes
without manual intervention. Conscious of the misuse potential in creating
divisive content, an intrinsic safety mechanism is embedded to curb hateful
meme production.