Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!-Reference-Cited by-同舟云学术

Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!

Published:2024-01-16 Issue:3 Volume:18 Page:278-299
ISSN:1931-2458
Container-title:Communication Methods and Measures
language:en
Short-container-title:Communication Methods and Measures

Author:

TeBlunthuis Nathan¹²^ORCID,Hase Valerie³^ORCID,Chan Chung-Hong⁴^ORCID

Affiliation:

1. School of Information, University of Michigan, Ann Arbor, USA

2. Department of Communication Studies, Northwestern University, Evanstone, USA

3. Department of Media and Communication, LMU Munich, Munich, Germany

4. Department of Computational Social Science, Cologne, Germany; GESIS - Leibniz-Institut für Sozialwissenschaften TeBlunthuis, Hase & Chan, Mannheim, Germany

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19312458.2023.2293713

Reference46 articles.

1. Two‐phase sampling designs for data validation in settings with covariate measurement error and continuous outcome

2. Correcting Measurement Error in Content Analysis

3. Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda

4. On the Dangers of Stochastic Parrots

5. A Unified Approach to Measurement Error and Missing Data: Overview and Applications

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