Topical Attention Bias Measures of US State Department Human Rights Reports

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Bagozzi, Benjamin E., 2026, "Topical Attention Bias Measures of US State Department Human Rights Reports", https://dataverse.udel.edu/citation?persistentId=perma:UDel/RVMCZH, UD Dataverse, V1

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Description	This is a catalog record. The data is held outside UD Dataverse. Original dataset: https://doi.org/10.7910/DVN/W1QQTP. Please cite the original dataset rather than this record. A corpus of 6,298 State Department Country Reports on Human Rights Practices (1977-2012) was topic modeled to recover a plausible set of country-year topics pertaining to the US State Department's monitoring of countries' human rights practices. Recovered topics are conditional on nation-states actual human rights performance and additional covariates, and include topics such as killings and disappearances, freedoms of expression and movement, and labor rights, among others. The posterior probability of topical assignment for each estimated topic is recorded for each country-year, 1977-2012. These quantities are argued to capture time varying (topical) attention bias in US State Department human rights reporting in relation to individual countries. Time period: 1977-2012 Location: Global (at the country-level) Formats: CSV Version: 1 Access (per the DSI catalog): Public (Dataset is or could be made publicly available to all without restrictions) Project: Topical Attention Bias in Human Rights Reporting. This project seeks to better understand US State Department human rights monitoring with text-as-data tools. Patterns of human rights reporting are considered over time, and in relation to a variety of US-specific and cross-national covariates. Source: UD Dataset Catalog, UD Data Science Institute: https://research.dsi.udel.edu/dataset/metadata.html#Topical-Attention-Bias-Measures-of-US-State-Department-Human-Rights-Reports
Subject	Social Sciences
Keyword	Social Science, State Department, Human Rights, Monitoring, Repression, Topic Modeling, Topical Attention Bias in Human Rights Reporting
Related Publication	Bagozzi, B.E. and D. Berliner. 2018. "The Politics of Scrutiny in Human Rights Monitoring: Evidence from Structural Topic Models of US State Department Human Rights Reports." Political Science Research and Methods. 6(4): 661-677.
License/Data Use Agreement	Custom Dataset Terms


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Citation Metadata

Persistent Identifier	perma:UDel/RVMCZH
Publication Date	2026-10-28
Title	Topical Attention Bias Measures of US State Department Human Rights Reports
Alternative URL	https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/W1QQTP
Other Identifier	DOI: 10.7910/DVN/W1QQTP
Author	Bagozzi, Benjamin E. (University of Delaware) - ORCID: 0000-0002-6233-6453
Point of Contact	Use email button above to contact. Bagozzi, Benjamin E. (University of Delaware)
Description	This is a catalog record. The data is held outside UD Dataverse. Original dataset: https://doi.org/10.7910/DVN/W1QQTP. Please cite the original dataset rather than this record. A corpus of 6,298 State Department Country Reports on Human Rights Practices (1977-2012) was topic modeled to recover a plausible set of country-year topics pertaining to the US State Department's monitoring of countries' human rights practices. Recovered topics are conditional on nation-states actual human rights performance and additional covariates, and include topics such as killings and disappearances, freedoms of expression and movement, and labor rights, among others. The posterior probability of topical assignment for each estimated topic is recorded for each country-year, 1977-2012. These quantities are argued to capture time varying (topical) attention bias in US State Department human rights reporting in relation to individual countries. Time period: 1977-2012 Location: Global (at the country-level) Formats: CSV Version: 1 Access (per the DSI catalog): Public (Dataset is or could be made publicly available to all without restrictions) Project: Topical Attention Bias in Human Rights Reporting. This project seeks to better understand US State Department human rights monitoring with text-as-data tools. Patterns of human rights reporting are considered over time, and in relation to a variety of US-specific and cross-national covariates. Source: UD Dataset Catalog, UD Data Science Institute: https://research.dsi.udel.edu/dataset/metadata.html#Topical-Attention-Bias-Measures-of-US-State-Department-Human-Rights-Reports
Subject	Social Sciences
Keyword	Social Science State Department Human Rights Monitoring Repression Topic Modeling Topical Attention Bias in Human Rights Reporting
Related Publication	Bagozzi, B.E. and D. Berliner. 2018. "The Politics of Scrutiny in Human Rights Monitoring: Evidence from Structural Topic Models of US State Department Human Rights Reports." Political Science Research and Methods. 6(4): 661-677.
Related Material	UD Dataset Catalog entry: https://research.dsi.udel.edu/dataset/metadata.html#Topical-Attention-Bias-Measures-of-US-State-Department-Human-Rights-Reports

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