Automated analysis of news articles on hydraulic fracturing in Colorado, New York, and Pennsylvania
(eBook)
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Published
Denver, Colo. : University of Colorado Denver, School of Public Affairs, 2014.
Format
eBook
Language
English
Notes
General Note
"November 2014."
Description
This report presents the findings of different approaches to media analysis of newspaper articles that focus on unconventional oil and gas development inclusive of hydraulic fracturing in New York, Pennsylvania, and Colorado. The first objective is to compare the results of manual coding of media articles on hydraulic fracturing issues from newspapers in New York and Pennsylvania to the automated coding results using the latent Dirichlet allocation (LDA) on the same articles. The purpose is to see if the automated coding can be used as a valid alternative to human coding, particularly when researchers are interested in coding a large number of articles. The findings show that, when comparing the automated coding results to the manual coding results, the inter-rater reliability was considered "fair" and the percent agreement for economic, environmental, and social topics is approximately 61%. In addition, some of the articles that were manually coded did not contain any of the codes which the researchers were searching and when these articles were removed from the analysis, the percent agreement increased to 64%.
Citations
APA Citation, 7th Edition (style guide)
(2014). Automated analysis of news articles on hydraulic fracturing in Colorado, New York, and Pennsylvania . University of Colorado Denver, School of Public Affairs.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)2014. Automated Analysis of News Articles On Hydraulic Fracturing in Colorado, New York, and Pennsylvania. University of Colorado Denver, School of Public Affairs.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Automated Analysis of News Articles On Hydraulic Fracturing in Colorado, New York, and Pennsylvania University of Colorado Denver, School of Public Affairs, 2014.
MLA Citation, 9th Edition (style guide)Automated Analysis of News Articles On Hydraulic Fracturing in Colorado, New York, and Pennsylvania University of Colorado Denver, School of Public Affairs, 2014.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
02dc8536-af21-fcc6-53b9-d3c041214ac9-eng
Grouping Information
| Grouped Work ID | 02dc8536-af21-fcc6-53b9-d3c041214ac9-eng |
|---|---|
| Full title | automated analysis of news articles on hydraulic fracturing in colorado new york and pennsylvania |
| Author | authors benjamin blair and 4 others |
| Grouping Category | book |
| Last Update | 2022-06-13 10:33:16AM |
| Last Indexed | 2024-04-26 23:13:40PM |
Book Cover Information
| Image Source | default |
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| First Loaded | Jun 23, 2022 |
| Last Used | Mar 31, 2024 |
Marc Record
| First Detected | May 22, 2018 12:00:00 AM |
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| Last File Modification Time | Jul 31, 2021 04:36:55 AM |
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| 520 | |a This report presents the findings of different approaches to media analysis of newspaper articles that focus on unconventional oil and gas development inclusive of hydraulic fracturing in New York, Pennsylvania, and Colorado. The first objective is to compare the results of manual coding of media articles on hydraulic fracturing issues from newspapers in New York and Pennsylvania to the automated coding results using the latent Dirichlet allocation (LDA) on the same articles. The purpose is to see if the automated coding can be used as a valid alternative to human coding, particularly when researchers are interested in coding a large number of articles. The findings show that, when comparing the automated coding results to the manual coding results, the inter-rater reliability was considered "fair" and the percent agreement for economic, environmental, and social topics is approximately 61%. In addition, some of the articles that were manually coded did not contain any of the codes which the researchers were searching and when these articles were removed from the analysis, the percent agreement increased to 64%. | ||
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| 650 | 0 | |a Frames (Sociology) | |
| 650 | 0 | |a Discourse analysis|z United States|x Data processing|x Evaluation. | |
| 650 | 0 | |a Automatic data collection systems|x Evaluation. | |
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