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The recent addition of data journalists to several dozen U.S. public radio newsrooms has created multiple new hybridities in the form. No longer are numbers and large datasets “audio poison.” Instead, they are an essential tool for these journalists, who prize journalism’s interpretive function, expressing information in new ways and challenging conventions of broadcast newsroom employment. This study, which relies on semi-structured interviews with 13 public radio data journalists, uses Carlson’s boundary work typology to analyze the ways in which data journalists are expanding the boundaries of U.S. public radio journalism, as well as ways in which they have pushed back against expulsionary pressures. This study’s findings problematize the idea that the results of boundary work must be expressed as in-or-out proposition. Rather, U.S. public radio data journalists suggest their boundaries are a continuum where they may be conditionally accepted by their colleagues, depending on deadlines and on the skills possessed by non-data journalists.more » « lessFree, publicly-accessible full text available March 12, 2026
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Petridis, Savvas; Diakopoulos, Nicholas; Crowston, Kevin; Hansen, Mark; Henderson, Keren; Jastrzebski, Stan; Nickerson, Jeffrey V; Chilton, Lydia B (, Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23))
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