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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
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ...
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5
The Match-Extend Serialization Algorithm in Multiprecedence ...
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6
Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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7
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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9
Including Signed Languages in Natural Language Processing ...
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10
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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11
The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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12
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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13
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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14
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
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15
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
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16
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
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17
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
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19
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
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20
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
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