🚨New pre-print 🚨 News articles often convey different things in text vs. image. Recent work in computational framing analysis has analysed the article text but the corresponding images in those articles have been overlooked. We propose multi-modal framing analysis of news: arxiv.org/abs/2503.20960 - ThreadSky

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rnv.bsky.social • 24 days ago

🚨New pre-print 🚨

News articles often convey different things in text vs. image. Recent work in computational framing analysis has analysed the article text but the corresponding images in those articles have been overlooked.
We propose multi-modal framing analysis of news: https://arxiv.org/abs/2503.20960

Comments

rnv.bsky.social•24 days ago

Editors choose to convey more subtle messaging through images that can evoke a more emotional response. But can this be measured? We demonstrate a methodology using large language and vision models to do such multi-modal analysis reliably & at scale. We use both generic and issue-specific frames!

rnv.bsky.social•24 days ago

We collect a dataset of 500k articles and images from various publishers in the US, across the political spectrum and systematically analyse differences in framing across them.

rnv.bsky.social•24 days ago

Across topics, we find substantial differences in framing across the article and the image. These hold across political leanings as well.

rnv.bsky.social•24 days ago

Using our method, you can also get issue-specific frames inductively from the article texts. When publishers are compared across the political spectrum, some clear patterns of how the left frames Immigration vs the right.

rnv.bsky.social•24 days ago

Find other interesting results in our paper: https://arxiv.org/abs/2503.20960 or play with the dataset yourself: https://huggingface.co/datasets/copenlu/mm-framing

Work done with my amazing colleagues @aicentre.dk
@srishtiy.bsky.social @mariaa.bsky.social @serge.belongie.com @iaugenstein.bsky.social

lindabos.bsky.social•24 days ago

@ulrikeklinger.bsky.social @alessandronai.bsky.social

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