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Mordecai Mengesteab

Biographic Data

ID9632413
NAMEMordecai Mengesteab
GIVEN NAMESMordecai
FAMILY NAMEMengesteab
SIGNATUREMENGESTEAB M
AFFILIATIONSNC State University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Automating Content Analysis With Multiple LLM Agents

    Open Access•Xinyan Zhao, Chengshuai Zhao et al.•ARTICLE•Social Science Computer Review•2026

    Emerging research in computational social science has applied LLMs to automate content analysis, often by prompting a single model to act as a human coder. While a single LLM may suffice for a few manifest variables, it still falls short on diverse latent constructs. And the impact of LLM agent attributes on measurement outcomes remains unclear, limiting their validity for communication research. Drawing upon the literature on interacting agents …

No prominent works on this page.

  • Automating Content Analysis With Multiple LLM Agents

    Open Access•Xinyan Zhao, Chengshuai Zhao et al.•ARTICLE•Social Science Computer Review•2026

    Emerging research in computational social science has applied LLMs to automate content analysis, often by prompting a single model to act as a human coder. While a single LLM may suffice for a few manifest variables, it still falls short on diverse latent constructs. And the impact of LLM agent attributes on measurement outcomes remains unclear, limiting their validity for communication research. Drawing upon the literature on interacting agents …

Agent-based model (1 work) · Authorship Attribution and Profiling (1 work) · Computational and Text Analysis Methods (1 work) · Content analysis (1 work) · Data collection (1 work) · Limiting (1 work) · Multi-agent system (1 work) · Reliability and Agreement in Measurement (1 work) · Social influence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae