# Multi-Modal Framing Analysis of News

arXiv: https://arxiv.org/abs/2503.20960 · HTML: https://mlsanity.com/paper/2503.20960/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 88 references that are in the map.
- First posted on arXiv 26 Mar 2025.

## Builds on (most cited first, 6 of 6)

- [Efficient Memory Management for Large Language Model Serving with PagedAttention](https://mlsanity.com/paper/2309.06180/) (2023)
- [Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies](https://mlsanity.com/paper/1808.09386/) (2018)
- [Modeling Framing in Immigration Discourse on Social Media](https://mlsanity.com/paper/2104.06443/) (2021)
- [Quantifying the visual concreteness of words and topics in multimodal datasets](https://mlsanity.com/paper/1804.06786/) (2018)
- [Issue Framing in Online Discussion Fora](https://mlsanity.com/paper/1904.03969/) (2019)
- [Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing](https://mlsanity.com/paper/2309.08069/) (2023)

## Built on by (most cited first, 9 of 9)

- [Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments](https://mlsanity.com/paper/2507.04612/) (2025)
- [What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews](https://mlsanity.com/paper/2601.05563/) (2026)
- [Beyond the Battlefield: Framing Analysis of Media Coverage in Conflict Reporting](https://mlsanity.com/paper/2506.10421/) (2025)
- [A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection](https://mlsanity.com/paper/2510.21679/) (2025)
- [From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech](https://mlsanity.com/paper/2601.17132/) (2026)
- [Multimodal Analysis of State-Funded News Coverage of the Israel-Hamas War on YouTube Shorts](https://mlsanity.com/paper/2604.00994/) (2026)
- [From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media](https://mlsanity.com/paper/2604.21786/) (2026)
- [Quantifying Media Representation Dynamics Across 25 Years of News Reporting on Policing-related Deaths](https://mlsanity.com/paper/2606.06812/) (2026)
- [Visual Framing for News Stance Detection via Image Generation](https://mlsanity.com/paper/2609.00685/) (2026)

## Abstract (arXiv)

Automated frame analysis of political communication is a popular task in computational social science that is used to study how authors select aspects of a topic to frame its reception. So far, such studies have been narrow, in that they use a fixed set of pre-defined frames and focus only on the text, ignoring the visual contexts in which those texts appear. Especially for framing in the news, this leaves out valuable information about editorial choices, which include not just the written article but also accompanying photographs. To overcome such limitations, we present a method for conducting multi-modal, multi-label framing analysis at scale using large (vision-) language models. Grounding our work in framing theory, we extract latent meaning embedded in images used to convey a certain point and contrast that to the text by comparing the respective frames used. We also identify highly partisan framing of topics with issue-specific frame analysis found in prior qualitative work. We demonstrate a method for doing scalable integrative framing analysis of both text and image in news, providing a more complete picture for understanding media bias.