Critical, but constructive
Defining, detecting, and addressing bias in Computational Social Science
Bibliographic Data
| ID | 12971304 |
|---|---|
| Authors | Valerie Hase (0000-0001-6656-4894, Ludwig-Maximilians-Universität München, corresponding author), Marko Bachl (0000-0001-5852-4948, Freie Universität Berlin), Nathan TeBlunthuis (0000-0002-3333-5013, The University of Texas at Austin) |
| Year | 2025 |
| Volume | 19 |
| Issue | 4 |
| Pages | 281-293 |
| Publication date | 2025-10-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Communication Methods and Measures (JOURNAL) |
| Journal identifiers | ISSN: 1931-2458 • E-ISSN: 1931-2466 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/19312458.2025.2575468 |
| OpenAlex | W4415666245 |
| Language | EN |
| References cited | 68 |
Computational model · Computational sociology · Key (lock · Work (physics · Computational and Text Analysis Methods · Contemporary Sociological Theory and Practice · Qualitative Comparative Analysis Research
An Introduction to Fully Integrated Mixed Methods Research
Model Cards for Model Reporting
Manifesto of computational social science
Word embeddings quantify 100 years of gender and ethnic stereotypes
The Risk of Racial Bias in Hate Speech Detection
Bias in data‐driven artificial intelligence systems—An introductory survey
Dissecting racial bias in an algorithm used to manage the health of populations
The Ebb and Flow of Communication Research
Fulfilling data access obligations
Mapping the global flow of computational communication science scholars
Between Innovation and Standardization
Best practices for studies using digital data donation
Beyond standardization
The Search for Solid Ground in Text as Data
Methods That Support the Validation of Agent-Based Models
Measuring racism and related concepts using computational text-as-data approaches
Meaning multiplicity and valid disagreement in textual measurement
Uncovering Digital Trace Data Biases
Beyond the binary? Automated gender classification of social media profiles
Whose truth is it anyway? An experiment on annotation bias in times of factual opinion polarization
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can
The public that engages invisibly
Correcting Measurement Error in Content Analysis
Computational Contributions
Correcting Sample Selection Bias of Historical Digital Trace Data
Classification bias of LLMs in detecting incivility towards female and male politicians in German social media discourse
When Communication Meets Computation
Measuring Smartphone Use
Two Half-Truths Make a Whole? On Bias in Self-Reports and Tracking Data
Conceptualizing, Assessing, and Improving the Quality of Digital Behavioral Data
Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model
Integrating Survey Data and Digital Trace Data
Mapping the European media landscape – Meteor, a curated and community-coded inventory of news sources
Coverage Error in Data Collection Combining Mobile Surveys With Passive Measurement Using Apps
New Data in Social and Behavioral Research
Sharing Data Collected with Smartphone Sensors
A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
Computational Social Science and the Study of Political Communication
Machine Learning for Social Science
Critical Questions for Big Data
Big Data, new epistemologies and paradigm shifts
For a heterodox computational social science
Bias in Social Research
Disclosure Standards for Social Media and Generative Artificial Intelligence Research
From Codebooks to Promptbooks
Machine Bias. How Do Generative Language Models Answer Opinion Polls
Computational Grounded Theory
| Citation velocity | historical |
|---|---|
| Highly cited | No |