Analyzing the Discourses of Science Statistics in the Public Sphere: A Qualitative Study of Quantitative Data

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  • The transmission of scientific data from academia to the public sphere has become increasingly complicated with the accessibility of information online and the rise of social issues connected to scientific research findings. There exists an opportunity to explore statistical data representations in the public sphere on Twitter to understand the function of science statistics and whether they assist in conveying accurate information. Gathering statistics from seminal scientific research articles relating to health science, vaccines, and climate change, the current study explores how statistics are represented by public actors, and to compare those representations between each set of statistics. This discourse analysis investigates the following: the effectiveness of statistics as they are used in different spheres of knowledge; any differences in the use of statistics in the three associated arguments; and any connections between the discussion of implications in the original research articles and how the statistics are interpreted online.

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  • Copyright © 2021 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

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  • 2021

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