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An application of the Hayakawa-Lowry News Bias Categories to identify news bias when reporting on a contemporary agricultural issue in Ohio

Aue, Kelly Elizabeth
http://rave.ohiolink.edu/etdc/view?acc_num=osu1354720930

Abstract Details

2012, Master of Science, Ohio State University, Agricultural and Extension Education.
The purpose of this study is to apply the Hayakawa-Lowry News Bias Categories to identify news bias when reporting on a contemporary agricultural issue in Ohio by agriculture and mainstream newspaper. This study specifically examined Ohio’s Issue 2 that was passed in November 2009. A total of nine agriculture newspaper articles and eight mainstream newspaper articles were analyzed for bias. This analysis occurred by categorizing 145 sentences in agriculture newspapers and 228 sentences in mainstream newspapers, according to Hayakawa-Lowry News Bias Categories. Ten frames were developed prior to analysis and researchers coded the articles for a primary and secondary frame. The researchers then compared the difference in how Issue 2 coverage differed between agriculture and mainstream newspapers.
Gary Straquadine, PhD (Advisor)
Emily Rhoades, PhD (Committee Member)
Robert Birkenholz, PhD (Committee Member)
73 p.
Agricultural Education; Agriculture; Communication
Hayakawa-Lowry; agricultural communication; Issue 2; Ohio; Framing; News Bias

Recommended Citations

Citations

  • Aue, K. E. (2012). An application of the Hayakawa-Lowry News Bias Categories to identify news bias when reporting on a contemporary agricultural issue in Ohio [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354720930

    APA Style (7th edition)

  • Aue, Kelly. An application of the Hayakawa-Lowry News Bias Categories to identify news bias when reporting on a contemporary agricultural issue in Ohio. 2012. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1354720930.

    MLA Style (8th edition)

  • Aue, Kelly. "An application of the Hayakawa-Lowry News Bias Categories to identify news bias when reporting on a contemporary agricultural issue in Ohio." Master's thesis, Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354720930

    Chicago Manual of Style (17th edition)

osu1354720930
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© 2012, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.