Is Google Responsible for Providing Fair and Unbiased Results?
This chapter discusses the responsibilities of Google as the leading search engine provider to provide fair and unbiased results. In its role, Google has a large influence on what is actually searchable on the Web as well as what results users get to see when they search for information. Google serves billions of queries per month, and users only seldom consider alternatives to this search engine. This market dominance further exacerbates the situation. This leads to questions regarding the responsibility of search engines in general, and Google in particular, for providing fair and balanced results. Areas to consider here are (1) the inclusion of documents in the search engine’s databases and (2) results ranking and presentation. I find that, while search engines should at least be held responsible for their practices regarding indexing, results ranking, delivering results from collections built by the search engine provider itself and the presentation of search engine results pages; today’s dominant player, Google, argues that there actually is no problem with these issues. Its basic argument here is that “competition is one click away”, and, therefore, it should be treated like any other smaller search engine company. I approach the topic from two standpoints: from a technical standpoint, I will discuss techniques and algorithms from information retrieval and how decisions made in the design of the algorithms influence what we as users get to see in search engines. From a societal standpoint, I will discuss what biased search engines mean for knowledge acquisition in society and how we can overcome today’s unwanted search monopoly.
- Bundesverband Digitale Wirtschaft. (2009). Nutzerverhalten Auf Google-Suchergebnisseiten: Eine Eyetracking-Studie Im Auftrag Des Arbeitskreises Suchmaschinen-Marketing Des Bundesverbandes Digitale Wirtschaft (BVDW) e.V.Google Scholar
- comScore. (2013). Europe digital future in focus: Key insights from 2012 and what they mean for the coming year. From http://www.comscore.com/content/download/19217/947363/file/2013-uk-future-in-focus.pdf. Accessed 12 May 2016.Google Scholar
- Diakopoulos, N. (2013). Sex, violence, and autocomplete algorithms: What words do Bing and google censor from their suggestions? Slate. http://www.slate.com/articles/technology/future_tense/2013/08/words_banned_from_bing_and_google_s_autocomplete_algorithms.single.html Accessed 12 May 2016.
- Edelman, B. (2014). Google’s Advertisement Labeling in 2014. Benedelman.org. http://www.benedelman.org/adlabeling/google-colors-oct2014.html. Accessed 12 May 2016.
- Gillespie, T. (2014). The relevance of algorithms. In T. Gillespie, P. Boczkowski, & K. Foot (Eds.), Media technologies (pp. 167–193). Cambridge, MA: MIT Press.Google Scholar
- Giunchiglia, F., Maltese, V., Madalli, D., Baldry, A., Wallner, C., Lewis, P., Denecke, K., Skoutas, D., & Marenzi, I. (2009). Foundations for the representation of diversity, evolution, opinion and bias.Google Scholar
- Lewandowski, D. (2012). Credibility in web search engines. In M. Folk & S. Apostel (Eds.), Online credibility and digital ethos: Evaluating computer-mediated communication (pp. 131–146). Hershey: IGI Global.Google Scholar
- Lewandowski, D. (2014a). Why we need an independent index of the web. Information retrieval; digital libraries. In R. König & M. Rasch (Eds.), Society of the query reader: Reflections on web search (pp. 49–58). Amsterdam: Institute of Network Culture.Google Scholar
- Lewandowski, D. (2014b). Wie Lässt Sich Die Zufriedenheit Der Suchmaschinennutzer Mit Ihren Suchergebnissen Erklären? In H. Krah & R. Müller-Terpitz (Eds.), Suchmaschinen (Passauer Schriften Zur Interdisziplinären Medienforschung, Band 4) (pp. 35–52). Münster: LIT.Google Scholar
- Lewandowski, D.(2016). Status Quo und Entwicklungsperspektiven des Suchmaschinenmarkts. In T. Pellegrini and J. Krone (Eds.), Hanbuch Medienökonomie. Berlin Heidelberg: Springer. doi: 10.1007/978-3-658-09632-8_38-1.
- Lewandowski, D., & Sünkler, S. (2013). Representative online study to evaluate the revised commitments proposed by Google on 21 October 2013 as Part of EU Competition Investigation AT.39740-Google Report for Germany. Hamburg.Google Scholar
- Liu, Zeyang, Yiqun Liu, Ke Zhou, Min Zhang, and Shaoping Ma. (2015). Influence of vertical result in web search examination. In Proceedings of SIGIR’15, August 09–13, 2015, Santiago, Chile. New York: ACM.Google Scholar
- Noble, S. U. (2012). Missed connections: What search engines say about women. Bitch Magazine, 54, 36–41.Google Scholar
- Noble, S.U. (2013). Google search: Hyper-visibility as a means of rendering black women and girls invisible. InVisible culture: An electronic journal for visual culture. http://ivc.lib.rochester.edu/google-search-hyper-visibility-as-a-means-of-rendering-black-women-and-girls-invisible/. Accessed 12 May 2016.
- Ntoulas, A., Cho, J., & Olston, C. (2004). What’s new on the web?: The evolution of the web from a search engine perspective. InProceedings of the 13th international conference on World Wide Web (pp. 1–12). New York: ACM.Google Scholar
- Pariser, E. (2011). The filter bubble: What the internet is hiding from you. London: Viking.Google Scholar
- Piper, P. S. (2000). Better read that again: Web hoaxes and misinformation. Searcher. Searcher, 8(8), 40.Google Scholar
- Purcell, K., Brenner, J., & Lee, R. (2012). Search engine use 2012. Washington, DC: Pew Internet & American Life Project.Google Scholar
- Saracevic, T. (2015). Why is relevance still the basic notion in information science ? In F. Pehar, C. Schlögl, & C. Wolff (Eds.), Re:inventing Information Science in the Networked Society. Proceedings of the 14th International Symposium on Information Science (ISI 2015), Zadar, Croatia, 19th–21st May 2015 (pp. 26–35). Glückstadt: Verlag Werner Hülsbusch.Google Scholar
- Stats: comScore. (2015). Search engine land. http://searchengineland.com/library/stats/stats-comscore. Accessed 12 May 2016.
- Tavani, H. (2012). Search engines and ethics.. [Plattformname.]http://plato.stanford.edu/entries/ethics-search/. Accessed 12 May 2016.
- White, R. W., & Horvitz, E. (2009). Cyberchondria. ACM Transactions on Information Systems, 27(4): Article No. 23. doi:10.1145/1629096.1629101.Google Scholar