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Contribution by Ahrabhi Kathirgamalingam at AoIR2025

Systematic Literature Review on LLMs for Content Analysis

A paper project involving CAIS researcher Ahrabhi Kathirgamalingam will be presented on October 16, 2025, at AoIR2025 in Brazil. It examines how large language models are transforming workflows for content analysis in the social sciences.

14. October 2025

CAIS researcher Ahrabhi Kathirgamalingam, together with Tariq Choucair (lead and presenter), Laura Vodden, and Axel Bruns, is involved in a paper being presented at AoIR2025 in Brazil. It will be presented in the panel “Humans and Machines in the Loop: Rethinking LLMs for Conflict and Disagreement in Content Analysis of Social Complex Phenomena.”

The paper provides a comprehensive literature review on how LLMs (Large Language Models) are transforming content analysis in the social sciences. It describes four central modes of LLM integration: scalable coders, human-assisted collaborators, autonomous decision-makers, and tools for semantic clustering. The study also highlights ongoing challenges, particularly regarding interpretability, reliability, and epistemic authority when applying LLMs to human-generated texts.

The presentation will take place on Thursday, October 16, from 9:00 to 10:30 AM on-site.

Further information about the panel is available at:
https://www.conftool.org/aoir2025/index.php?page=browseSessions&form_session=547#paperID683

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