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.
CCS CONCEPTS• Security and privacy → Social aspects of security and privacy; • Information systems → Document topic models.
Do models of collaboration among contributors of Wikipedia generalize beyond the larger, western editions of the encyclopedia? In this study, we expanded upon the known collaborative mechanisms on the English Wikipedia and demonstrated that the collaboration model is best captured through the interplay of these mechanisms. We annotated talk page conversations for types of power plays or vies for control over edits that are made to articles, to understand how policy and power play mechanisms in editors' discussions account for behavior in English (EN), Farsi (FA), and Chinese (ZH) language editions of Wikipedia. Our findings show that the same power plays used in EN exist in both FA and ZH but the frequency of their usage differs across the editions. These variations suggest that editors in different language communities value contrasting types of policies to compete for power while discussing and editing articles. Our study contributes to a deeper understanding of how collaboration models developed from a western perspective translate to non-western languages.
The study of work practices across two or more collaborative platforms is relatively rare. Participants and researchers have to be competent, or even experts, in both just to begin to make sense of what is happening. With the growing popularity of peer-production systems, the integration of resources across various platforms is more and more common. The framework of stitching is one analytical stance that has been used to describe the cross-platform work to build and highlight informational and social networks. Through a qualitative study with 32 participants who have different foci on Wikipedia and Wikimedia Commons, we reveal their practices in three essential stitching processes, production, curation, and dynamic integration. We highlight how their practices enact stitching and extend the conceptual framework to explain barriers that inhibit effective stitching across platforms. We further discuss implications for research in cross-platform work and design to facilitate Wikipedia-Commons collaboration.
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