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CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

https://doi.org/10.1177/0081175019860244
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Contentious Performances
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Deep Residual Learning for Image Recognition
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Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
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DICTATORS AND THEIR VIZIERS: ENDOGENIZING THE LOYALTY-COMPETENCE TRADE-OFF
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Online social networks and offline protest
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EMBERS AutoGSR
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The Use of Newspaper Data in the Study of Collective Action
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Backpropagation Applied to Handwritten Zip Code Recognition
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Long Short-Term Memory
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The Arab Spring and Social Media Audiences
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Media Bias in China
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Deep Contextualized Word Representations
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Censored
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Convolutional Neural Networks for Sentence Classification
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MPEDS: Automating the Generation of Protest Event Data
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On the difficulty of training Recurrent Neural Networks
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The Velocity of Censorship: High-Fidelity Detection of Microblog Post Deletions
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Neural Machine Translation by Jointly Learning to Align and Translate
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Artificial Intelligence and Computation in the Social Sciences
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Bias in Text Analysis for International Relations Research
inferred← citeshttps://doi.org/10.1093/joc/jqaa032openalex-snapshot
Specificity, Conflict, and Focal Point: A Systematic Investigation into Social Media Censorship in China
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780192868282.013.47openalex-snapshot
What Type of Data Are Images?
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.11openalex-snapshot
Machine Learning in Sociology
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.17openalex-snapshot
Analyzing Image Data with Machine Learning
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.2openalex-snapshot
Chinese Computational Sociology
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.3openalex-snapshot
Munging the Ghosts in the Machine
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.41openalex-snapshot
Quality Control for Quality Computational Concepts
inferred← citeshttps://doi.org/10.1093/pnasnexus/pgaf331openalex-snapshot
The heterogeneous impact of public security cameras on safety perceptions in cities: Evidence from China
inferred← citeshttps://doi.org/10.1093/ser/mwac027openalex-snapshot
Robots and protest: does increased protest among Chinese workers result in more automation?
inferred← citeshttps://doi.org/10.1093/sf/soaf194openalex-snapshot
Two-layer panopticon: how the Chinese government uses digital surveillance to prevent collective action
inferred← citeshttps://doi.org/10.1108/978-1-80592-655-920261010openalex-snapshot
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Politická mobilizace jako příležitost? Sběr materiálu z protivládních protestů a kampaní před parlamentními a prezidentskými volbami v letech 2021–2023 v České republice
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Applied convolutional neural network framework for tagging healthcare systems in crowd protest environment
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Automated image analysis for studying online behaviour
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Public Sentiment on Chinese Social Media during the Emergence of COVID19
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Content Modeling in Multi-Platform Multilingual Social Media Data
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Public opposition or social protest against investment projects in Chile and Colombia
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Neural Networks and Political Science: Testing the Methodological Frontiers
inferred← citeshttps://doi.org/10.70675/9a8a64fez7aa9z40d7z9639z639e38da8e9dopenalex-snapshot
De la prédiction à la détection d’évènements : L’analyse des mégadonnées au service du renseignement de sources ouvertes
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.