Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries
arXiv:1812.08585
Abstract
This short paper deals with the combination and comparison of two data sources: Search engine results and query suggestions for 16 terms related to political candidates and parties. The data was collected before the federal election in Germany in September 2017 for a period of two months. The rank biased overlap (RBO) statistic is used to measure the similarity of the top-weighted rankings. For each search term and for both the search results and query auto-completions we study the stability of the rankings over time.
Submitted and accepted for the dataset challenge at the European Symposium Series on Societal Challenges in Computational Social Science (EuroCSS) 2018. For the associated data set, see http://doi.org/10.5281/zenodo.1494858. Updated version contains acknowledgments section