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Understanding protests using geolocated images and convolutional neural networks.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Protest movements--Research.
- Protest movements.
- Twitter.
- Computer vision.
- Neural networks (Computer science).
- Physical Description:
- 1 online resource (1 video file (00:14:33)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- Zachary Steinert-Threlkeld, PhD, Assistant Professor of Public Policy at the UCLA Luskin School of Public Affairs, discusses using geo-located images and convolutional neural networks to understand protests, including using Twitter data in research, collecting and analyzing image data and its challenges, and advice for students interested in this type of research.
- Participant:
- Academic, Zachary Steinert-Threlkeld PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526497604 (streaming video) :
- OCLC:
- 1104425108
- Access Restriction:
- Restricted for use by site license.
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