Conflict-sensitive large language models:Preparing AI for mediation in armed conflicts

COMPTEXT is the leading annual venue for researchers who use computational methods to analyse text, audio and video data across the social sciences and humanities.The 2026 edition brings together scholars from political science, communication studies, sociology, and beyond to share advances in natural language processing, large language models, and quantitative text analysis applied to real-world political and social questions.

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University of Birmingham Research Portal (University of Birmingham)
Published
2026-04-24
Primary Topic
Computational and Text Analysis Methods
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article

Conflict-sensitive large language models:Preparing AI for mediation in armed conflicts

Anelia Kurteva, Baraa Ali Deeb, Martin; id_orcid 0009-0007-0695-6870 Wählisch, Fadi Zaraket
University of Birmingham Research Portal (University of Birmingham)
Computational and Text Analysis Methods
article

Conflict-sensitive large language models:Preparing AI for mediation in armed conflicts

Anelia Kurteva, Baraa Ali Deeb, Martin; id_orcid 0009-0007-0695-6870 Wählisch, Fadi Zaraket
article en

Abstract

COMPTEXT is the leading annual venue for researchers who use computational methods to analyse text, audio and video data across the social sciences and humanities.The 2026 edition brings together scholars from political science, communication studies, sociology, and beyond to share advances in natural language processing, large language models, and quantitative text analysis applied to real-world political and social questions.

University of Birmingham Research Portal (University of Birmingham)
Quality Education
Openalex Percentile: Top 2%
Computational and Text Analysis Methods
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Conflict-sensitive large language models:Preparing AI for mediation in armed conflicts — Anelia Kurteva, Baraa Ali Deeb, et al. · University of Birmingham Research Portal (University of Birmingham) (2026) | TGRS Research Map | TGRS