Work

Manuscript accepted for publication in 2027 in Sage Research Methods.

Year: 2026

Type: article

Abstract: This manuscript is accepted for publication in Sage Research Methods in the form of a case study. The case study reports on a research group’s workflow and decisions in exploring the potential to supplement human judgments with AI-based judgments of the veracity of mock eyewitness statements. In that exploration, we investigated two AI-related questions: (i) Can Large Language Models (LLMs) support the coding of Criteria-Based Content Analysis (CBCA) criteria? and (ii) Can the resulting human- and LLM-based codes be used in predictive models of accuracy?

Source: Stockholm University Figshare Repository

DOI: 10.17045/sthlmuni.34831068

Authors: Charlotte Alm, Raver Gültekin, Ronald van den Berg

Institution: Stockholm University

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7225653367

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