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- W3202313995 abstract "This research investigates whether Facebook data can be used to predict donation behavior. On the basis of individual specific Facebook data (i.e. Facebook groups, pages, and page categories), we build an acquisition model that predicts an individual’s likelihood to become a donor. Three different classification algorithms are being compared, namely Bagging, Random Forest and Adaboost. Furthermore, by constructing different models, we assess the value of different Facebook features as predictors of donation behavior." @default.
- W3202313995 created "2021-10-11" @default.
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- W3202313995 date "2019-01-01" @default.
- W3202313995 modified "2023-09-27" @default.
- W3202313995 title "Acquisition Modeling in the Nonprofit Sector based on Facebook Data" @default.
- W3202313995 hasPublicationYear "2019" @default.
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