Assessing bias in search engines
Information Processing and Management: an International Journal
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Information Processing and Management: an International Journal
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Proceedings of the Second ACM International Conference on Web Search and Data Mining
An axiomatic approach for result diversification
Proceedings of the 18th international conference on World wide web
Efficient Computation of Diverse Query Results
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Boilerplate detection using shallow text features
Proceedings of the third ACM international conference on Web search and data mining
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Predicting the future impact of news events
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Analyzing the polarity of opinionated queries
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Sentiment diversification with different biases
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Analyzing, Detecting, and Exploiting Sentiment in Web Queries
ACM Transactions on the Web (TWEB)
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Search Engines have become the main entry point to Web content, and a large part of the "visible" Web consists in what is presented by them as top retrieved results. Therefore, it would be desirable if the first few results were a representative sample of the entire result set. This paper provides a preliminary study about opinions contained in search engine results for controversial queries such as "cloning" or "immigration". To this end, we extract sentiment metadata from web pages, and compare search engine results for several queries. Furthermore, we compare opinions expressed in the top results to those in other retrieved results to examine whether the top-ranked pages are a good sample of all results from an opinion perspective. In a preliminary empirical analysis, we compare up to 50 results from 3 commercial search engines on 14 controversial queries to study the relation between sentiments, topics, and rankings.