Predicting political attitudes from web tracking data: a machine learning approach

Author:

Kirkizh Nora,Ulloa Roberto,Stier Sebastian,Pfeffer Jürgen

Funder

The Volkswagen Foundation

Publisher

Informa UK Limited

Reference34 articles.

1. Al Halabi, W. S., Kubat, M., & Tapia, M. (2007). Time spent on a web page is sufficient to infer a user’s interest. In Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications, USA: ACTA Press, (p. 41–46).

2. Large-scale diet tracking data reveal disparate associations between food environment and diet

3. How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use

4. Going beyond simplicity: Using machine learning to predict belief in conspiracy theories

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