Protest Activity Detection and Perceived Violence Estimation from Social Media Images-Reference-Cited by-同舟云学术

Protest Activity Detection and Perceived Violence Estimation from Social Media Images

Published:2017-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM international conference on Multimedia
language:
Short-container-title:

Author:

Won Donghyeon¹,Steinert-Threlkeld Zachary C.¹,Joo Jungseock¹

Affiliation:

1. University of California, Los Angeles, Los Angeles, CA, USA

Funder

UCLA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3123266.3123282

Reference48 articles.

1. Lefteris Anastasopoulos and Jake Williams. 2016. Identifying violent protest activity with scalable machine learning *. (2016). http://scholar.harvard.edu/janastas Lefteris Anastasopoulos and Jake Williams. 2016. Identifying violent protest activity with scalable machine learning *. (2016). http://scholar.harvard.edu/janastas

2. The Critical Periphery in the Growth of Social Protests

3. Taking tweets to the streets: A spatial analysis of the Vinegar Protests in Brazil

4. Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons

5. Social event detection and retrieval in collaborative photo collections

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