Images as Data for Social Science Research

Nora Webb Williams · Andreu Casas · John Wilkerson

59 citations0/0 files storedCambridge University Press eBooks

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Computational and Text Analysis Methods Advanced Neural Network Applications Digital Humanities and Scholarship

Abstract

Images play a crucial role in shaping and reflecting political life. Digitization has vastly increased the presence of such images in daily life, creating valuable new research opportunities for social scientists. We show how recent innovations in computer vision methods can substantially lower the costs of using images as data. We introduce readers to the deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. We then provide guidance and specific instructions for scholars interested in using these methods in their own research.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 59 citations exist upstream.

References

2025The Coding Manual for Qualitative Researchers 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 1981"The Whole World Is Watching": Mass Media in the Making and Unmaking of the New Left 2013Networks of outrage and hope: social movements in the internet age 2013The Logic of Connective Action 2005Inferences of Competence from Faces Predict Election Outcomes 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Cited by

2021Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates 2020What Makes Politicians’ Instagram Posts Popular? Analyzing Social Media Strategies of Candidates and Office Holders with Computer Vision 2020Diagnosing Gender Bias in Image Recognition Systems 2023Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges 2022Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.