The Gatekeeping Function: Distributions of Information in Media and the Real World
There are vast literatures on the ways in which media content differs from reality, but we thus far have a rather weak sense for how exactly the representation of various topics in media differs from the distribution of information in the real world. Drawing on the gatekeeping literature, and utiliz...
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| Published in | The Journal of politics Vol. 74; no. 2; pp. 514 - 528 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
New York, USA
Cambridge University Press
01.04.2012
University of Chicago Press |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0022-3816 1468-2508 |
| DOI | 10.1017/S002238161100171X |
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| Abstract | There are vast literatures on the ways in which media content differs from reality, but we thus far have a rather weak sense for how exactly the representation of various topics in media differs from the distribution of information in the real world. Drawing on the gatekeeping literature, and utilizing a new automated content-analytic procedure, this article portrays both media content and “reality” as distributions of information. Measuring these allows us to identify the mechanism by which the distribution of information in the real world is transformed into the distribution of information in media; we can identify the gatekeeping function. Reporting on unemployment serves as a test case. Subsequent analyses focus on inflation and interest rates and on differences across Democratic and Republican presidencies. Results are discussed as they relate to negativity, to economic news, and to the broader study of distributions of information in political communication and politics. |
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| AbstractList | There are vast literatures on the ways in which media content differs from reality, but we thus far have a rather weak sense for how exactly the representation of various topics in media differs from the distribution of information in the real world. Drawing on the gatekeeping literature, and utilizing a new automated content-analysis procedure, this article portrays both media content and 'reality' as distributions of information. Measuring these allows us to identify the mechanism by which the distribution of information in the real world is transformed into the distribution of information in media; we can identify the gatekeeping function. Reporting on unemployment serves as a test case. Subsequent analyses focus on inflation and interest rates and on differences across Democratics and Republican presidencies. Results are discussed as they relate to negativity, to economic news, and to the broader study of distributions of information in political communication and politics. Reprinted by permission of Cambridge University Press. An electronic version of this article can be accessed via the internet at http://journals.cambridge.org There are vast literatures on the ways in which media content differs from reality, but we thus far have a rather weak sense for how exactly the representation of various topics in media differs from the distribution of information in the real world. Drawing on the gatekeeping literature, and utilizing a new automated content-analytic procedure, this article portrays both media content and "reality" as distributions of information. Measuring these allows us to identify the mechanism by which the distribution of information in the real world is transformed into the distribution of information in media; we can identify the gatekeeping function. Reporting on unemployment serves as a test case. Subsequent analyses focus on inflation and interest rates and on differences across Democratic and Republican presidencies. Results are discussed as they relate to negativity, to economic news, and to the broader study of distributions of information in political communication and politics. Adapted from the source document. There are vast literatures on the ways in which media content differs from reality, but we thus far have a rather weak sense for how exactly the representation of various topics in media differs from the distribution of information in the real world. Drawing on the gatekeeping literature, and utilizing a new automated content-analytic procedure, this article portrays both media content and "reality" as distributions of information. Measuring these allows us to identify the mechanism by which the distribution of information in the real world is transformed into the distribution of information in media; we can identify the gatekeeping function. Reporting on unemployment serves as a test case. Subsequent analyses focus on inflation and interest rates and on differences across Democratic and Republican presidencies. Results are discussed as they relate to negativity, to economic news, and to the broader study of distributions of information in political communication and politics. [PUBLICATION ABSTRACT] There are vast literatures on the ways in which media content differs from reality, but we thus far have a rather weak sense for how exactly the representation of various topics in media differs from the distribution of information in the real world. Drawing on the gatekeeping literature, and utilizing a new automated content-analytic procedure, this article portrays both media content and “reality” as distributions of information. Measuring these allows us to identify the mechanism by which the distribution of information in the real world is transformed into the distribution of information in media; we can identify the gatekeeping function. Reporting on unemployment serves as a test case. Subsequent analyses focus on inflation and interest rates and on differences across Democratic and Republican presidencies. Results are discussed as they relate to negativity, to economic news, and to the broader study of distributions of information in political communication and politics. |
| Author | Soroka, Stuart N. |
| Author_xml | – sequence: 1 givenname: Stuart N. surname: Soroka fullname: Soroka, Stuart N. organization: aMcGill University |
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| Title | The Gatekeeping Function: Distributions of Information in Media and the Real World |
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