Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges-Reference-Cited by-同舟云学术

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

Published:2023-11-23 Issue: Volume: Page:1-23
ISSN:1931-2458
Container-title:Communication Methods and Measures
language:en
Short-container-title:Communication Methods and Measures

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/19312458.2023.2277956

Reference93 articles.

1. Agüera y Arcas A. Mitchell M. & Todorov A. (2017). Physiognomy’s new clothes . https://medium.com/@blaisea/physiognomys-new-clothes-f2d4b59fdd6a

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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