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resource research Media and Technology
KQED, a San Francisco based public media organization, is interested in broadening participation and attracting and engaging a younger and more diverse audience, especially millennials, for their science media. The KQED science team is one of the largest reporting teams in the West with a focus on science news and it’s YouTube series, Deep Look. This is a summary of Cracking the Code: Influencing Millennial Science Engagement, a three year media research project supported by NSF. The project brought together KQED science media professionals, academic science media researchers from Texas
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TEAM MEMBERS: Sue Ellen McCann Sevda Eris Asheley Landrum Sarah Mohamad Scott Burg
resource research Media and Technology
This is the third of three guides for media practitioners, evaluators and researchers about some of what was learned through the project Cracking the Code: Influencing Millennial Science Engagement. This guide focuses on steps for conducting media research and research protocals.
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TEAM MEMBERS: Sue Ellen McCann Sevda Eris Asheley Landrum Sarah Mohamad Scott Burg
resource research Media and Technology
This is the second of three guides for media practitioners, evaluators and researchers about some of what was learned through the project Cracking the Code: Influencing Millennial Science Engagement. This guide focuses on ways to identify your missing audience.
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TEAM MEMBERS: Sue Ellen McCann Sevda Eris Asheley Landrum Sarah Mohamad Scott Burg
resource research Media and Technology
This is the first of three guides for media practioners, evaluators and researchers about some of what was learned through the project Cracking the Code: Influencing Millennial Science Engagement. This guide focuses on possible practices for creating an audience research collaboration for media professionals, evaluators and communication researchers.
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TEAM MEMBERS: Sue Ellen McCann Sevda Eris Asheley Landrum Sarah Mohamad Scott Burg
resource research Media and Technology
The news arguably serves to inform the quantitative reasoning (QR) of news audiences. Before one can contemplate how well the news serves this function, we first need to determine how much QR typical news stories require from readers. This paper assesses the amount of quantitative content present in a wide array of media sources, and the types of QR required for audiences to make sense of the information presented. We build a corpus of 230 US news reports across four topic areas (health, science, economy, and politics) in February 2020. After classifying reports for QR required at both the
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TEAM MEMBERS: John Voiklis Jena Barchas-Lichtenstein Elizabeth Attaway Uduak G. Thomas Shivani Ishwar Patti Parson Laura Santhanam Isabella Isaacs-Thomas