Deviant Targets, Legitimate Strikes: Public Opinion for Drone Warfare

Paul Lushenko's dataset, hosted by Harvard Dataverse, investigates how target identities shape public perceptions of drone strike legitimacy. The dataset was last updated on April 27, 2026. Its specific content likely contains survey or experimental data related to public attitudes towards military technology.

Use Cases

• Modeling public support for drone strikes based on target identity variables mentioned in the description
• Analyzing the relationship between perceived legitimacy and military tactics based on the described research question
• Training classifiers to predict opinion outcomes based on features implied by the study of target identities

Strengths

• Dataset is hosted on the authoritative Harvard Dataverse platform.
• Author attribution is provided (Lushenko, Paul).
• A specific research question framing the data is clearly stated.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Harvard Dataverse

Collection Method

Likely contains survey or experimental data gathered for academic research.

Time Range

null

Freshness

Last updated 2026-04-27 15:47:20; freshness should be verified

Geography

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