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Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
Abstract: We apply statistical techniques from natural language processing to a collection of Western and Hong Kong–based English-language newspaper articles spanning the years 1998–2020, studying the difference and evolution of its portrayal. We observe that both content and attitudes differ between Western and Hong Kong–based sources. ANOVA on keyword frequencies reveals that Hong Kong–based papers discuss protests and democracy less often. Topic modeling detects salient aspects of protests and shows that Hong Kong–based papers made fewer references to police violence during the Anti-Extradition Law Amendment Bill Movement. Diachronic shifts in word embedding neighborhoods reveal a shift in the characterization of salient keywords once the Movement emerged. Together, these raise questions about the existence of anodyne reporting from Hong Kong–based media. Likewise, they illustrate the importance of sample selection for protest event analysis. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Data Acquisition; FOS Mathematics; FOS Physical sciences; Information and Knowledge Engineering; Machine Learning; Neural Network; Semantics; Statistics; Translation Studies
URL: https://underline.io/lecture/29888-characterizing-news-portrayal-of-civil-unrest-in-hong-kong
https://dx.doi.org/10.48448/yyrf-j853
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2
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
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3
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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4
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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5
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
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6
10D: Phonology, Morphology and Word Segmentation #1 ...
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7
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ...
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8
19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 2 ...
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18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 1 ...
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10
The Match-Extend Serialization Algorithm in Multiprecedence ...
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11
Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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12
Correcting Chinese Spelling Errors with Phonetic Pre-training ...
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PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
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14
Including Signed Languages in Natural Language Processing ...
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15
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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16
The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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17
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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18
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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19
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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20
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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