Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges

Author:

Peng Yilang1,Lock Irina2,Ali Salah Albert3

Affiliation:

1. Department of Financial Planning and Housing and Consumer Economics, University of Georgia, Athens, Georgia, USA

2. Institute of Communication Science, Friedrich Schiller University Jena, Jena, Germany

3. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

Funder

Yilang Peng's research is partially supported by the US National Science Foundatio

Publisher

Informa UK Limited

Subject

Communication

Reference93 articles.

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2. Evaluating the fake news problem at the scale of the information ecosystem

3. Alpaydin, E. (2020). Introduction to machine learning. MIT Press.

4. Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., & Parikh, D. (2015). VQA: Visual question answering. Proceedings of the IEEE international conference on computer vision. 2425–2433.

5. Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models

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