Is it about 'them'? leveraging big data research to understand anti-immigrant discourse
| Autor: | Claire Stravato Emes |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Big Data & Society, Vol 11 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2053-9517 20539517 |
| DOI: | 10.1177/20539517241249432 |
| Popis: | The paper explores the potential of big data analytics for researching anti-immigrant discourse. We emphasize contextualization as an essential element of research and follow a hybrid approach inspired by best practices of computational content analysis, combining human hermeneutic expertise with supervised machine learning to classify a corpus of comments in online news communities in Singapore over 6 months ( N = 399,225). The paper highlights how big data analytics can provide a nuanced and critical apprehension of immigrant-related discourse in large social media datasets. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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