Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries
This work addresses the temporal dynamics of search data for political queries, but it is incremental as it applies existing methods to a specific domain without major new insights.
The study measured the similarity and stability over time between search engine results and query suggestions for political terms before the German federal election, finding that both data sources showed varying degrees of stability using rank biased overlap statistics.
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.