Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal
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Abstract (arXiv)
While there is increasing global attention to data privacy, most of their current theoretical understanding is based on research conducted in a few countries. Prior work argues that people's cultural backgrounds might shape their privacy concerns; thus, we could expect people from different world regions to conceptualize them in diverse ways. We collected and analyzed a large-scale dataset of tweets about the #CambridgeAnalytica scandal in Spanish and English to start exploring this hypothesis. We employed word embeddings and qualitative analysis to identify which information privacy concerns are present and characterize language and regional differences in emphasis on these concerns. Our results suggest that related concepts, such as regulations, can be added to current information privacy frameworks. We also observe a greater emphasis on data collection in English than in Spanish. Additionally, data from North America exhibits a narrower focus on awareness compared to other regions under study. Our results call for more diverse sources of data and nuanced analysis of data privacy concerns around the globe.
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References · 12
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
- 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddingscited by 1,304
- 2018Learning Gender-Neutral Word Embeddingscited by 169
- 2017Online Human-Bot Interactions: Detection, Estimation, and Characterizationcited by 64
- 2016BotOrNot: A System to Evaluate Social Botscited by 41
- 2019Evaluating Word Embedding Models: Methods and Experimental Resultscited by 37
- 2018Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaigncited by 30
- 2019Arming the public with artificial intelligence to counter social botscited by 24
- 2013Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehosecited by 15
- 2014When is it Biased? Assessing the Representativeness of Twitter's Streaming APIcited by 1
- 2019Global Reactions to the Cambridge Analytica Scandal: An Inter-Language Social Media Studycited by 1
- 2019Information Privacy Opinions on Twitter: A Cross-Language Studycited by 1
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