Global reactions to the Cambridge analytica scandal: A cross-language social media study

Felipe González, Yihan Yu, Andrea Figueroa, Claudia López, Cecilia Aragon

Resultado de la investigación: Contribución a los distintos tipos de conferenciaArtículo

1 Cita (Scopus)

Resumen

© 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License. Currently, there is a limited understanding of how data privacy concerns vary across the world. The Cambridge Analytica scandal triggered a wide-ranging discussion on social media about user data collection and use practices. We conducted a cross-language study of this online conversation to compare how people speaking different languages react to data privacy breaches. We collected tweets about the scandal written in Spanish and English between April and July 2018. We used the Meaning Extraction Method in both datasets to identify their main topics. They reveal a similar emphasis on Zuckerberg's hearing in the US Congress and the scandal's impact on political issues. However, our analysis also shows that while English speakers tend to attribute responsibilities to companies, Spanish speakers are more likely to connect them to people. These findings show the potential of cross-language comparisons of social media data to deepen the understanding of cultural differences in data privacy perspectives.
Idioma originalInglés
Páginas799-806
Número de páginas8
DOI
EstadoPublicada - 13 may 2019
EventoThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019 -
Duración: 13 may 2019 → …

Conferencia

ConferenciaThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
Período13/05/19 → …

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    González, F., Yu, Y., Figueroa, A., López, C., & Aragon, C. (2019). Global reactions to the Cambridge analytica scandal: A cross-language social media study. 799-806. Papel presentado en The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019, . https://doi.org/10.1145/3308560.3316456