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Computer Vision for Protest Analysis
Scholz, Stefan

image analysis computer vision explainable AI protest analysis ddc:320
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2

Improving Computer Vision Interpretability : Transparent Two-Level Classification for Complex Scenes
Scholz, Stefan ; Weidmann, Nils B. ; Steinert-Threlkeld, Zachary C. ; et al.
Political Analysis. Cambridge University Press. 2025, 33(2), S. 107-121. ISSN 1047-1987. eISSN 1476-4989. Verfügbar unter: doi:10.1017/pan.2024.18

image analysis computer vision explainable AI two-level classification protest analysis ddc:320
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3

Correcting the Measurement Errors of AI-Assisted Labeling in Image Analysis Using Design-Based Supervised Learning.
Rister Portinari Maranca, Alessandra ; Chung, Jihoon ; Hinck, Musashi ; et al.
Sociological Methods & Research; Aug2025, Vol. 54 Issue 3, p984-1016, 33p

GENERATIVE artificial in... LANGUAGE models BLACK Lives Matter movem... ARTIFICIAL intelligence COMPUTER vision
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4

Efficient Object-Related Scene Text Grouping Pipeline for Visual Scene Analysis in Large-Scale Investigative Data.
Shinohara, Enrique ; García, Jorge ; Unzueta, Luis ; et al.
Electronics (2079-9292); Jan2026, Vol. 15 Issue 1, p12, 24p

OBJECT recognition (Comp... COMPUTER vision LAW enforcement IMAGE segmentation INFORMATION processing DEEP learning
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5

Seeing the Black Lives Matter Movement Through Computer Vision? An Automated Visual Analysis of News Media Images on Facebook
Minchul Kim ; Ozen Bas
Social Media + Society, Vol 9 (2023)

Communication. Mass medi... P87-96
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6

Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm
Jiang, Yanru ; Jin, Xin ; Deng, Qinhao

Computer Science - Compu... Computer Science - Compu...
Report
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7

Bridging ethnography and AI: a reciprocal methodology for studying visual political action.
Maltezos, Vasileios ; Luhtakallio, Eeva ; Meriluoto, Taina
International Journal of Social Research Methodology; Mar2025, Vol. 28 Issue 2, p193-208, 16p

IMAGE recognition (Compu... POLITICAL participation IMAGE analysis ETHNOLOGY research ARTIFICIAL intelligence DEEP learning
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8

With eyes of a machine: A three-step guide for applying machine learning to visual content analysis in social research.
Kvist Møller, Anna Helene ; Airoldi, Massimo
Big Data & Society; Apr-Jun2025, Vol. 12 Issue 2, p1-13, 13p

SCIENTIFIC method COMPUTER vision VISUAL learning CONVOLUTIONAL neural net... MACHINE learning
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9

Media choice and audience perceptions: Evidence from visual framing of immigration in news stories.
Gasparyan, Olga ; Sirotkina, Elena
PLoS ONE; 9/15/2025, Vol. 20 Issue 9, p1-25, 25p

UNITED States FRAMES (Social sciences) EMIGRATION & immigration COGNITIVE bias OBJECTIVITY in journalis... COMPUTER vision …
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10

3D Social Research: Analysis of Social Interaction Using Computer Vision.
Goldstein, Yoav ; Legewie, Nicolas M. ; Shiffer-Sebba, Doron
Sociological Methods & Research; Aug2023, Vol. 52 Issue 3, p1201-1238, 38p

SOCIAL interaction SOCIAL science research SOCIAL processes BODY language COMPUTER vision MATERIALS analysis
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11

Studying riots through the lens of social media.
Spierenburg, Lucas ; van Cranenburgh, Sander ; Cats, Oded
Journal of Big Data; 7/26/2025, Vol. 12 Issue 1, p1-20, 20p

FRANCE SOCIAL media RIOTS CLUSTERING algorithms SOCIAL unrest COMPUTER vision …
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12

Online knowledge production in polarized political memes: The case of critical race theory.
Walters, Alyvia ; Ammari, Tawfiq ; Garimella, Kiran ; et al.
New Media & Society; Sep2025, Vol. 27 Issue 9, p4997-5021, 25p

CRITICAL race theory CRITICAL discourse analy... POLITICAL communication IMAGE recognition (Compu... POLITICAL knowledge ACTIVISM …
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13

Politics through machine eyes: What computer vision allows us to see.
Bucy, Erik P.
Journal of Visual Political Communication; Jan2023, Vol. 10 Issue 1, p59-68, 10p

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14

Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges.
Peng, Yilang ; Lock, Irina ; Ali Salah, Albert
Communication Methods & Measures; Apr-Jun2024, Vol. 18 Issue 2, p163-185, 23p

LANGUAGE models SOCIAL media COMPUTER vision SUPERVISED learning MEDIA studies EDUCATIONAL tests & meas...
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15

Computer Vision to Analyze Protests in Social Media
Chan, Alexander ; Wu, Yingnian

Statistics Public policy Computer science CNN Computer Vision DNN …
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16

Generative Multimodal Models for Social Science: An Application with Satellite and Streetscape Imagery.
Law, Tina ; Roberto, Elizabeth
Sociological Methods & Research; Aug2025, Vol. 54 Issue 3, p889-932, 44p

GENERATIVE artificial in... RESIDENTIAL segregation ARTIFICIAL intelligence COMPUTER vision GENERATIVE pre-trained t...
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17

Finding the future in digitally mediated ruin: #nostalgiacores and the algorithmic culture of digital platforms.
Brown, Maria Gemma ; Carah, Nicholas ; Tan, Xue Ying ; et al.
Convergence: The Journal of Research into New Media Technologies; Oct2024, Vol. 30 Issue 5, p1710-1731, 22p

CONSUMERISM COMPUTER vision DIGITAL technology CONSUMER culture theory CONTENT analysis
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18

Image Clustering: An Unsupervised Approach to Categorize Visual Data in Social Science Research.
Zhang, Han ; Peng, Yilang
Sociological Methods & Research; Aug2024, Vol. 53 Issue 3, p1534-1587, 54p

COMPUTER vision SOCIAL science research SUPERVISED learning VISUAL learning FEATURE extraction
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19

Computer Vision to Analyze Protests in Social Media
Wu, Yingnian ; Chan, Alexander ; Wu, Yingnian ; et al.

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20

Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
Scholz, Stefan ; Weidmann, Nils B. ; Steinert-Threlkeld, Zachary C. ; et al.

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