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Found 5 papers, 0 papers with code
N-Modal Contrastive Losses with Applications to Social Media Data in Trimodal Space
Recent advancements in model architectures such as CLIP have enabled researchers to begin studying the interplay between the modalities of text and images in a shared latent space.
C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap
This is something rarely seen on social media, where the vast majority of text content is ``commentative'' in nature.
MEWS: Real-time Social Media Manipulation Detection and Analysis
This article presents a beta-version of MEWS (Misinformation Early Warning System).
Motif Mining: Finding and Summarizing Remixed Image Content
On the internet, images are no longer static; they have become dynamic content.
Automatic Discovery of Political Meme Genres with Diverse Appearances
This pipeline can ingest meme images from a social network, apply computer vision-based techniques to extract local features and index new images into a database, and then organize the memes into related genres.
