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Description: Many of the guidelines that inform how designers create data visualizations originate in studies that unintentionally exclude populations that are most likely to be among the "data poor". In this paper, we explore which factors may drive attention and trust in rural populations with diverse socioeconomic and educational backgrounds - a segment that is largely underrepresented in the data visualization literature. In 42 semi-structured interviews in rural Pennsylvania (USA), we find that a complex set of factors intermix to inform attitudes and perceptions of data visualization - including educational background, political affiliation, and personal experience.


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