Arnav Arora

@rnv.bsky.social

CS PhD student, University of Copenhagen | LLM cultural value alignment, safety, political communication, AI ethics | he/him. https://scholar.google.com/citations?user=EQUUUUoAAAAJ&hl=en

The paper acceptance notifications will be out by the 6th of April, AoE. The PCs are working hard throughout the holiday season to finalize the decisions. Apologies for the delay!

Happy to share that our work on multi-modal framing analysis of news was accepted to #EMNLP2025! Understanding news output and embedded biases is especially important in today's environment and it's imperative to take a holistic look at it. Looking forward to presenting it in Suzhou!

Arnav Arora@rnv.bsky.social · last yr.

🚨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

Turns out, a good way to reduce bias in LLMs is actually to make them more biased first. We came up with a neat way to do that using token based fine-tuning and then steering, getting some interesting results for both real world and fictional biases. Any feedback is welcome!

Sekh (Sk) Mainul Islam@sekh-copenlu.bsky.social · 12mo ago

🚀 Excited to share our new preprint: BiasGym: Fantastic LLM Biases and How to Find (and Remove) Them 📄 Read the paper: arxiv.org/abs/2508.08855

Greta Thunberg, after trying to do the humanitarian work our governments are supposed to be doing: "Whatever the odds are, we have to keep trying…when you look at the state of the world, everything feels meaningless — but unless you try to do everything you can, that's when we lose our hope, no?"

Prem Thakker ツ@premthakker.bsky.social · last yr.

Greta Thunberg, describing the Gaza aid flotilla effort: "It's more important than ever because of the siege and because of the systematic starvation of over 2 million people and the full-blown, live-streamed genocide…we cannot accept just witnessing all this and doing nothing."

New work on multimodal framing! 💫 Some fun results: comparisons of the same frame when expressed in images vs texts. When the "crime" frame is expressed in the article text, there are more political words in the text, but when the frame is expressed in the article image, more police words.

Table 2 from the paper, showing results of the "Fightin' Words" algorithm to rank words by their association with image vs text frames. Results are shown for the "crime" and "quality of life" frames.Figure 13 from the paper showing scatter plots of the topic space (UMAP reduction of a 5k sample of the generated topic descriptions) with points highlighted if they were assigned the "political frame." The two plots display quite different distributions.
Arnav Arora@rnv.bsky.social · last yr.

🚨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

🚨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

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