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ProjectP-Hacking for Popularity? Statistical Significance and Media Attention Study IDsspp-2025-0037-v1 Study Title
Statistical Significance and Media Attention AuthorsLester Lusher, Sunmi Jung, Brianna Funderburk Completion Time10 Minutes Close Date (UTC)Aug. 31, 2025 DisciplineEconomics, Other FieldOther CountryOnline (many countries) Abstract This study analyzes the correlation between statistical significance and media attention. We have coded results from a random sample of 1,000 National Bureau of Economic Research (NBER) Working Papers (WPs). Each NBER WP is linked to data from Altmetric.com to determine whether the NBER WP received any media attention.
Incentive Details
Incentive Type
Based on forecast accuracy
Calculation Method
Continuous: Based on absolute forecast accuracy Recipient PoolEveryone receives the incentives
Forecast Distributions
When uploading forecasting surveys, authors are asked to select several key questions which are often the questions they think are the most important to the study.
Citation
Lusher, Lester, Jung, Sunmi, and Brianna Funderburk. 2025. "Statistical Significance and Media Attention." Social Science Prediction Platform. August 18. https://socialscienceprediction.org/s/8ea48a