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This paper presents the results of an empirical analysis of deceptive data visualizations paired with explanatory text. Data visualizations are used to communicate information about important social issues to large audiences and are found in the news, social media, and the Internet (Kirk, 2012). Modern technology and software allow people

This paper presents the results of an empirical analysis of deceptive data visualizations paired with explanatory text. Data visualizations are used to communicate information about important social issues to large audiences and are found in the news, social media, and the Internet (Kirk, 2012). Modern technology and software allow people and organizations to easily produce and publish data visualizations, contributing to data visualizations becoming more prevalent as a means of communicating important information (Sue & Griffin, 2016). Ethical transgressions in data visualizations are the intentional or unintentional use of deceptive techniques with the potential of altering the audience’s understanding of the information being presented (Pandey et al., 2015). While many have discussed the importance of ethics in data visualization, scientists have only recently started to look at how deceptive data visualizations affect the reader. This study was administered as an on-line user survey and was designed to test the deceptive potential of data visualizations when they are accompanied by a paragraph of text. The study consisted of a demographic questionnaire, chart familiarity assessment, and data visualization survey. A total of 256 participants completed the survey and were evenly distributed between a control (non-deceptive) survey or a test (deceptive) survey in which participant were asked to observe a paragraph of text and data visualization paired together. Participants then answered a question relevant to the observed information to measure how they perceived the information to be. The individual differences between demographic groups and their responses were analyzed to understand how these groups reacted to deceptive data visualizations compared to the control group. The results of the study confirmed that deceptive techniques in data visualizations caused participants to misinterpret the information in the deceptive data visualizations even when they were accompanied by a paragraph of explanatory text. Furthermore, certain demographics and comfort levels with chart types were more susceptible to certain types of deceptive techniques. These results highlight the importance of education and practice in the area of data visualizations to ensure deceptive practices are not utilized and to avoid potential misinformation, especially when information can be called into question.
ContributorsO'Brien, Shaun (Author) / Laure, Claire (Thesis advisor) / Brumberger, Eva (Committee member) / D'Angelo, Barbara J. (Committee member) / Arizona State University (Publisher)
Created2017
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Description
There is a gap between today's scientific advances and their application--between what is known and what is actually being done. This gap occurs because of the process of knowledge translation required to digest research findings for policymakers and practitioners. Studies have repeatedly shown that because of this "know-do" gap, approximately

There is a gap between today's scientific advances and their application--between what is known and what is actually being done. This gap occurs because of the process of knowledge translation required to digest research findings for policymakers and practitioners. Studies have repeatedly shown that because of this "know-do" gap, approximately one-half of patients in the United States and Europe are not receiving care according to the most recent scientific evidence. Children are a medically unique and underserved population that stands to be most affected by this gap. Therefore, in this study, the research-practice gap in the pediatric field was calculated and discussed in the context of knowledge brokers, who facilitate opportunities for knowledge translation. Article mentions from the journal Pediatrics were identified in policy documents and analyzed for the years 2010, 2013, and 2016 with the use of the Altmetric platform as a quantitative means of identifying patterns and drawing conclusions about the knowledge translation gap in pediatrics. Altmetric is a bibliometric tool that offers viable insights into the types of impact not covered with traditional methods of citation analysis. The expert policymaking bodies that cited the Pediatrics articles in their policy documents were coded, categorized, and subcategorized to clarify how and where Pediatrics research is ultimately being used to create health policy and to discover whether the gap is similar or different between the various types of policymaking organizations. This allowed the quantitative findings to be nested within a qualitative context. It took a mean of 7.1 years for research to reach the point of policy uptake for practitioners, with a range of 0-32.8 years. There were more international policy mentions than U.S. mentions, but information made its way through the knowledge translation process more quickly in the United States than it did elsewhere. In fact, nearly 40% of articles were cited in policy fewer than five years after original publication. The gap in pediatrics is thus significantly shorter than the 17-year average reported in the literature. However, knowledge brokerage activities performed by technical communicators are continually needed to build links between research, policy applications, and practice.
ContributorsBabiar, Heather (Author) / D'Angelo, Barbara (Thesis advisor) / Brumberger, Eva (Committee member) / Maid, Barry (Committee member) / Arizona State University (Publisher)
Created2018