Strategic Behavior Data from a Turkish TV Cooking Competition, Weeks 47-125

Replication data for a study analyzing contestant scoring patterns, order effects, and reciprocal behavior in the Turkish reality TV show 'Zuhal Topal'la Sofrada'. The dataset covers weeks 47 through 125 of the competition, which operated under unique institutional rules including restricted scoring ranges and public score revelation. Author Tolga Kuzubas published this data via Harvard Dataverse to accompany the paper 'Order Effects, Reciprocity, and Equilibrium Play in a TV Show'.

Use Cases

• Modeling strategic scoring behavior based on contestant interactions described in the study.
• Analyzing order effects in sequential decision-making based on the TV show's structure.
• Investigating reciprocity patterns based on public score revelation rules.
• Testing game-theoretic equilibrium predictions in a real-world competitive environment.

Strengths

• Data covers a specific 79-week period (weeks 47-125) from a long-running TV show.
• Focuses on a unique institutional setting with public scoring and restricted ranges.
• Data is explicitly provided for replicating published academic results.

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, author Tolga Kuzubas.

Collection Method

Data collected from the Turkish reality TV cooking competition 'Zuhal Topal'la Sofrada'.

Time Range

Covers weeks 47 through 125 of the TV show.

Freshness

Last updated 2026-04-13 14:41:34; freshness should be verified.

Geography

Turkey.