  The Cambridge Analytica scandal triggered a conversation on Twitter about
data practices and their implications. Our research proposes to leverage this
conversation to extend the understanding of how information privacy is framed
by users worldwide. We collected tweets about the scandal written in Spanish
and English between April and July 2018. We created a word embedding to create
a reduced multi-dimensional representation of the tweets in each language. For
each embedding, we conducted open coding to characterize the semantic contexts
of key concepts: "information", "privacy", "company" and "users" (and their
Spanish translations). Through a comparative analysis, we found a broader
emphasis on privacy-related words associated with companies in English. We also
identified more terms related to data collection in English and fewer
associated with security mechanisms, control, and risks. Our findings hint at
the potential of cross-language comparisons of text to extend the understanding
of worldwide differences in information privacy perspectives.
