Estimating Causal Effects of Text Interventions Leveraging LLMs

• URL: http://arxiv.org/abs/2410.21474v1
• Date: Mon, 28 Oct 2024 19:19:35 GMT
• Title: Estimating Causal Effects of Text Interventions Leveraging LLMs
• Authors: Siyi Guo, Myrl G. Marmarelis, Fred Morstatter, Kristina Lerman,
• Abstract summary: This paper proposes a novel approach to estimate causal effects using text transformations facilitated by large language models (LLMs) Unlike existing methods, our approach accommodates arbitrary textual interventions and leverages text-level classifiers with domain adaptation ability to produce robust effect estimates against domain shifts. This flexibility in handling various text interventions is a key advancement in causal estimation for textual data, offering opportunities to better understand human behaviors and develop effective policies within social systems.
• Score: 7.2937547395453315
• License:
• Abstract: Quantifying the effect of textual interventions in social systems, such as reducing anger in social media posts to see its impact on engagement, poses significant challenges. Direct interventions on real-world systems are often infeasible, necessitating reliance on observational data. Traditional causal inference methods, typically designed for binary or discrete treatments, are inadequate for handling the complex, high-dimensional nature of textual data. This paper addresses these challenges by proposing a novel approach, CausalDANN, to estimate causal effects using text transformations facilitated by large language models (LLMs). Unlike existing methods, our approach accommodates arbitrary textual interventions and leverages text-level classifiers with domain adaptation ability to produce robust effect estimates against domain shifts, even when only the control group is observed. This flexibility in handling various text interventions is a key advancement in causal estimation for textual data, offering opportunities to better understand human behaviors and develop effective policies within social systems.

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