Search Results for author: Giovanna Maria Dora Dore

Found 3 papers, 0 papers with code

Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020

no code implementations ACL (CASE) 2021 James Scharf, Arya D. McCarthy, Giovanna Maria Dora Dore

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.

A Mixed-Methods Analysis of Western and Hong Kong–based Reporting on the 2019–2020 Protests

no code implementations EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 Arya D. McCarthy, James Scharf, Giovanna Maria Dora Dore

We apply statistical techniques from natural language processing to Western and Hong Kong–based English language newspaper articles that discuss the 2019–2020 Hong Kong protests of the Anti-Extradition Law Amendment Bill Movement.

Sentiment Analysis

Hong Kong: Longitudinal and Synchronic Characterisations of Protest News between 1998 and 2020

no code implementations LREC 2022 Arya D. McCarthy, Giovanna Maria Dora Dore

This paper showcases the utility and timeliness of the Hong Kong Protest News Dataset, a highly curated collection of news articles from diverse news sources, to investigate longitudinal and synchronic news characterisations of protests in Hong Kong between 1998 and 2020.

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