Data for: Media sentiment in anaerobic digestion coverage: A quantitative content analysis, 1979-2023.

Author(s): Forrest Stagner, J. Arbuckle, Chris Morris, Frank Montabon, Michael Helbing
Abstract:

This dataset contains structured information derived from U.S. media coverage of on-farm anaerobic digestion between 1979 and 2023. The data were compiled through systematic searches of the LexisNexis database using keywords related to anaerobic digestion, livestock operations, and biogas production. Retrieved records were screened using defined inclusion and exclusion criteria to remove duplicate, irrelevant, or non–farm-related content.

The final analytical dataset includes 475 newspaper, television, and radio transcripts, each represented as a single record. For each transcript, variables include publication metadata (e.g., outlet, date, location), a coded sentiment score on a five-point ordinal scale (very negative to very positive), and associated contextual variables such as state-level digester counts, population, political classification, and regional classification. Additional derived variables summarize sentiment across time, geography, and publication sources, and include lagged and aggregated measures designed to support temporal and spatial analysis.

These data support research on media representation, public discourse, and the geographic and temporal distribution of anaerobic digestion coverage. The dataset may also be applied to studies of technology perception, policy communication, and the relationship between infrastructure development and media narratives.

Funder: USDA NIFA
Award Title:
Consortium for Cultivating Human And Naturally reGenerative Enterprises: Grass2Gas
Award Number: 2020-68012-31824
Keywords:
anaerobic digestion, biodigestion, bioenergy, biogas, biomethane, manure management, renewable natural gas, sustainable agriculture
Project (Abbreviated name):
G2G_Stagner_media_sentiment
Team: Grass2Gas
Geographic Location:
The United States of America
Full Metadata:
G2G_Stagner_media_sentiment.pdf (177.62 KB)
Data Table Column Names and Descriptions
Table nameColumn nameData typeUnitsColumn description
articles rawCitystringNAThe city where the publication is located.
articles rawDatedateTimeNAThe article's publication date.
articles rawDuplicatestringNAA note describing possible duplication between this article and others in the list.
articles rawHeadlinestringNAThe newspaper article headline.
articles rawIDintegerdimensionlessA unique primary key for this table.
articles rawPublication outletstringNAThe newspaper article publisher.
articles rawStatestringNAThe state the publication covers.
dataset content analysisAreafloatmileSquaredArea of state in square miles.
dataset content analysisCitystringNAThe city where the publication is located, or "National" if the outlet covers the entire United States.
dataset content analysisDatedateTimeNAThe article's publication date.
dataset content analysisHeadlinestringNAThe newspaper article headline.
dataset content analysisIDintegerdimensionlessA unique primary key for this table. Missing values typically represent deduplication of articles.
dataset content analysisINEXstringNAInclusion and exclusion criteria applied (Yes = included in all analyses, No = excluded).
dataset content analysisPublicationoutletstringNAThe newspaper article publisher.
dataset content analysisRED BLUEstringNAPolitical leaning of the state based on presidential electoral votes from 2016 onward.
dataset content analysisSBRfloatsentimentIndexMean sentiment of transcripts by region.
dataset content analysisSBRYfloatsentimentIndexMean sentiment of transcripts by region and year
dataset content analysisSBSfloatsentimentIndexMean sentiment of transcripts by state.
dataset content analysisSBSYfloatsentimentIndexMean sentiment of transcripts by state and year.
dataset content analysisSBYfloatsentimentIndexMean sentiment of transcripts by year.
dataset content analysisSENTstringNASentiment of the transcript from "very negative" (1) to "very positive" (5).
dataset content analysisSTATEfloatdimensionlessDuplicate of state_num.
dataset content analysisStatestringNAThe state where the publication is located, or "National" if the publication covers the entire United States.
dataset content analysisdig dense1kfloatcountPerThousandMilesSquaredNumber of digesters per 1,000 square miles in a state in year of transcript.
dataset content analysisdigs added f1floatnumberNumber of digesters added in the state 1 year after transcript.
dataset content analysisdigs added f2floatnumberNumber of digesters added in the state 2 years after transcript.
dataset content analysisdigs added f3floatnumberNumber of digesters added in the state 3 years after transcript.
dataset content analysisdigs per capfloatcountPerPersonDigesters per capita in the state or area.
dataset content analysisdigs per cap f1floatcountPerPersonDigesters per capita in the state 1 year after transcript.
dataset content analysisdigs per cap f2floatcountPerPersonDigesters per capita in the state 2 years after transcript.
dataset content analysisdigs per cap f3floatcountPerPersonDigesters per capita in the state 3 years after transcript.
dataset content analysisdpcap increase f1floatcountPerPersonIncrease in digester density in the state per capita 1 year after transcript.
dataset content analysisdpcap increase f2floatcountPerPersonIncrease in digester density in the state per capita 2 years after transcript.
dataset content analysisdpcap increase f3floatcountPerPersonIncrease in digester density in the state per capita 3 years after transcript.
dataset content analysisdpcap100kfloatcountPerHundredThousandPeopleDigester density in the state per 100,000 residents.
dataset content analysisdpcap100k increase f2floatcountPerHundredThousandPeopleIncrease in digester density in the state per 100,000 residents 2 years after transcript.
dataset content analysisdpcap1kfloatcountPerThousandPeopleDigester density in the state per 1,000 residents.
dataset content analysisf1 dig dense1kfloatcountPerThousandMilesSquaredNumber of digesters per 1,000 square miles in a state 1 year after transcript.
dataset content analysisf2 dense increasefloatcountPerThousandMilesSquaredIncrease in density of digesters in the state 2 years after transcript.
dataset content analysisf2 dig dense1kfloatcountPerThousandMilesSquaredNumber of digesters per 1,000 square miles in a state 2 years after transcript.
dataset content analysisf3 dense increasefloatcountPerThousandMilesSquaredIncrease in density of digesters 3 years after transcript.
dataset content analysisf3 dig dense1kfloatcountPerThousandMilesSquaredNumber of digesters per 1,000 square miles in a state 3 years after transcript.
dataset content analysisggetstringNAWhether the state has a greenhouse gas emissions target (1 = yes, 0 = no).
dataset content analysisln trans countfloatnumberNatural log of transcripts by state and year.
dataset content analysismean weightfloatdimensionlessMean 'weight' of all transcripts.
dataset content analysisno digsfloatnumberTotal number of operational digesters in year of transcript.
dataset content analysisno digs f1floatnumberTotal number of digesters in the state 1 year after transcript.
dataset content analysisno digs f2floatnumberTotal number of digesters in the state 2 years after transcript.
dataset content analysisno digs f3floatnumberTotal number of digesters in the state 3 years after transcript.
dataset content analysisno digs p1floatnumberNumber of digesters added in the state 1 year prior to transcript.
dataset content analysisno digs p2floatnumberNumber of digesters added in the state 2 years prior to transcript.
dataset content analysisno digsp3floatnumberNumber of digesters added in the state 3 years prior to transcript.
dataset content analysisnorm weightfloatdimensionlessNormalized 'weight' (i.e., 'weight' divided by 'mean_weight').
dataset content analysisp1 dense increasefloatcountPerThousandMilesSquaredIncrease in digester density in the state from previous year 1 year prior to transcript.
dataset content analysisp1 dig dense1kfloatcountPerThousandMilesSquaredDigester density in the state per 1,000 square miles 1 year prior to transcript.
dataset content analysisp2 dense increasefloatcountPerThousandMilesSquaredIncrease in digester density in the state from previous year 2 years prior to transcript.
dataset content analysisp2 dig dense1kfloatcountPerThousandMilesSquaredDigester density in the state per 1,000 square miles 2 years prior to transcript.
dataset content analysisp3 dense increasefloatcountPerThousandMilesSquaredIncrease in digester density in the state from previous year 3 years prior to transcript.
dataset content analysisp3 dig dense1kfloatcountPerThousandMilesSquaredDigester density in the state per 1,000 square miles 3 years prior to transcript.
dataset content analysispopulationfloatnumberState population in year of transcript as estimated by the U.S. Census Bureau.
dataset content analysispopulation f1floatnumberState population 1 year after transcript as estimated by the U.S. Census Bureau.
dataset content analysispopulation f2floatnumberState population 2 years after transcript as estimated by the U.S. Census Bureau.
dataset content analysispopulation f3floatnumberState population 3 years after transcript as estimated by the U.S. Census Bureau.
dataset content analysispub countintegernumberNumber of transcripts per publication outlet.
dataset content analysispub propfloatdimensionlessProportion of a publication outlet's transcripts over total number of transcripts.
dataset content analysisregionstringNARegion in which the state resides.
dataset content analysisstate numfloatdimensionlessState converted to integer to allow for analysis.
dataset content analysistotal transfloatnumberTotal number of transcripts used in analysis.
dataset content analysistrans countintegernumberTotal transcripts by state and year.
dataset content analysisweightfloatdimensionlessInverse of 'pub_prop' (i.e., 1/pub_prop).
dataset content analysisyearintegernumberThe year the article was published.