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View article: ‘Slightly disappointing’ vs. ‘worst sh** ever’: tackling cultural differences in negative sentiment expressions in AI-based sentiment analysis
‘Slightly disappointing’ vs. ‘worst sh** ever’: tackling cultural differences in negative sentiment expressions in AI-based sentiment analysis Open
Advertisers, politicians, and social scientists alike have an interest in the current zeitgeist. With people expressing their sentiments in online comments, the Internet has become a great source for ‘reading’ the zeitgeist via artificial …
View article: Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms
Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms Open
Uncovering the world’s ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they are able to infer people’s ethnicities from their names. However, since the latest genera…
View article: Springboard, not roadblock: Discourse analysis of Facebook groups suggests that ethnic neighbourhoods in European cities might jump-start immigrants’ integration
Springboard, not roadblock: Discourse analysis of Facebook groups suggests that ethnic neighbourhoods in European cities might jump-start immigrants’ integration Open
The age of migration finds its physical manifestation in the immigrant neighbourhoods of European cities. These ‘ethnic enclaves’ have received much attention from the public, as well as policy makers. Conventional wisdom holds that polici…