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Articles

Beyond the Bubble: Assessing the Diversity of Political Search Results

Pages 824-843 | Received 03 Apr 2018, Accepted 15 Oct 2018, Published online: 28 Nov 2018

References

  • Alexa. 2018. The top 500 sites on the web. https://www.alexa.com/topsites
  • AlgorithmWatch. 2017. Datenspende: BTW 17. Accessed November 12, 2018. https://datenspende.algorithmwatch.org/.
  • Ananny, M., and K. Crawford. 2018. “Seeing Without Knowing: Limitations of the Transparency Ideal and Its Application to Algorithmic Accountability.” New Media & Society 20 (3): 973–989. doi:10.1177/1461444816676645
  • Bakshy, E., S. Messing, and L. Adamic. 2015. “Exposure to Ideologically Diverse News and Opinion on Facebook.” Science 58 (4): 707–731. doi:10.1126/science.aaa1160
  • Bar-Ilan, J. 2007. “Google Bombing from a Time Perspective.” Journal of Computer-Mediated Communication 12 (3): 910–938. doi:10.1111/j.1083-6101.2007.00356.x.
  • Bennett, P. N., R. W. White, W. Chu, S. T. Dumais, P. Bailey, F. Borisyuk, and X. Cui. 2012. “Modeling the Impact of Short- and Long-term Behavior on Search Personalization.” Paper presented at Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR ’12, 185, ACM Press, New York, USA. doi:10.1145/2348283.2348312.
  • Borra, E., and I. Weber. 2012. “Political Insights: Exploring Partisanship in Web Search.” First Monday 17 (7): 1–15. doi:10.5210/fm.v17i7.4070.
  • Bozdag, E. 2013. “Bias in Algorithmic Filtering and Personalization.” Ethics and Information Technology 15 (3): 209–227. doi:10.1007/s10676-013-9321-6.
  • Bucher, T. 2012. “Want to be on the Top? Algorithmic Power and the Threat of Invisibility on Facebook.” New Media & Society 14 (7): 1164–1180. doi:10.1177/1461444812440159.
  • Carlson, M. 2015. “The Robotic Reporter.” Digital Journalism 3 (3): 416–431. doi:10.1080/21670811.2014.976412.
  • Coddington, M. 2015. “Clarifying Journalism’s Quantitative Turn.” Digital Journalism 3 (3): 331–348. doi:10.1080/21670811.2014.976400.
  • Cox, T. F., and M. A. A. Cox. 2000. Multidimensional Scaling. Boca Raton: Chapman & Hall/CRC Press.
  • Diakopoulos, N., and M. Koliska. 2017. “Algorithmic Transparency in the News Media.” Digital Journalism 5 (7): 809–828. doi:10.1080/21670811.2016.1208053.
  • Dubois, E., and G. Blank. 2018. “The Echo Chamber is Overstated: The Moderating Effect of Political Interest and Diverse Media.” Information Communication and Society 21 (5): 729–745. doi:10.1080/1369118X.2018.1428656.
  • Edelman, B. 2010. Hard-Coding Bias in Google “Algorithmic” Search Results. http://www.benedelman.org/hardcoding/.
  • Edelman, B. 2011. “Bias in Search Results: Diagnosis and Response.” Indian Journal of Law and Technology 7: 16–32. doi:10.1525/sp.2007.54.1.23.
  • Edelman, B., and B. Lockwood. 2011. Measuring Bias in “Organic” Web Search. http://www.benedelman.org/searchbias/.
  • Epstein, R., and R. E. Robertson. 2015. “The Search Engine Manipulation Effect (SEME) and Its Possible Impact on the Outcomes of Elections.” Proceedings of the National Academy of Sciences United States of America 112 (33): E4512–E4521. doi:10.1073/pnas.1419828112.
  • Feuz, M., M. Fuller, and F. Stalder. 2011. “Personal Web Searching in the Age of Semantic Capitalism: Diagnosing the Mechanisms of Personalisation.” First Monday 16 (2). http://firstmonday.org/article/view/3344/2766.
  • Flaxman, S., S. Goel, and J. M. Rao. 2016. “Filter Bubbles, Echo Chambers, and Online News Consumption.” Public Opinion Quarterly 80 (1): 298–320. doi:10.1093/poq/nfw006.
  • Fletcher, R., and R. K. Nielsen. 2018. “Are People Incidentally Exposed to News on Social Media? A Comparative Analysis.” New Media & Society 20 (7): 2450–2468. doi:10.1177/1461444817724170.
  • Ford, H., E. Dubois, and C. Puschmann. 2016. “Keeping Ottawa Honest – One Tweet at a Time? Politicians, Journalists, Wikipedians, and their Twitter Bots.” International Journal of Communication 10 (24): 4891–4914. http://ijoc.org/index.php/ijoc/article/view/6183/1803.
  • Gerhart, S. L. 2004. “Do Web Search Engines Suppress Controversy?” First Monday 9 (1): 1–18. doi:10.5210/fm.v9i1.1111.
  • Gillespie, T. 2014. “The Relevance of Algorithms.” In Media Technologies: Essays on Communication, Materiality, and Society, edited by T. Gillespie, P. Boczkowski, & K. Foot, 167–194. Cambridge, MA: MIT Press.
  • Gillespie, T. 2010. “The Politics of ‘Platforms’.” New Media & Society 12 (3): 347–364. doi:10.1177/1461444809342738.
  • Giomelakis, D., and A. Veglis. 2016. “Investigating Search Engine Optimization Factors in Media Websites: The case of Greece.” Digital Journalism 4 (3): 379–400. doi:10.1080/21670811.2015.1046992.
  • Goldman, E. 2006. “Search Engine Bias and the Demise of Search Engine Utopianism.” Yale Journal of Law and Technology 188 (8): 121–133. doi:10.1007/978-3-540-75829-7_8.
  • Granka, L. A. 2010. “The Politics of Search: A Decade Retrospective.” Information Society 26 (5): 364–374. doi:10.1080/01972243.2010.511560.
  • Haim, M., A. Graefe, and H. B. Brosius. 2018. “Burst of the Filter Bubble? Effects of Personalization on the Diversity of Google News.” Digital Journalism 6 (3): 330–343. doi:10.1080/21670811.2017.1338145.
  • Hannak, A., P. Sapiezynski, A. Molavi Kakhki, B. Krishnamurthy, D. Lazer, A. Mislove, and C. Wilson. 2013. “Measuring Personalization of Web Search.” Paper presented at Proceedings of the 22nd international conference on World Wide Web – WWW ’13, 527–538, ACM Press, New York, USA. doi:10.1145/2488388.2488435.
  • Hargittai, E. 2007. “The Social, Political, Economic, and Cultural Dimensions of Search Engines: An Introduction.” Journal of Computer-Mediated Communication 12 (3): 769–777. doi:10.1111/j.1083-6101.2007.00349.x.
  • Hothorn, T., K. Hornik, and A. Zeileis. 2015. “ctree: Conditional Inference Trees.” The Comprehensive R Archive Network (Quinlan 1993), 1–34. https://cran.r-project.org/web/packages/partykit/vignettes/ctree.pdf.
  • Introna, L. D., and H. Nissenbaum. 2000. “Shaping the Web: Why the Politics of Search Engines Matters.” Information Society 16 (3): 169–185. doi:10.1080/01972240050133634.
  • Just, N., and M. Latzer. 2017. “Governance by Algorithms: Reality Construction by Algorithmic Selection on the Internet.” Media, Culture & Society 39 (2): 238–258. doi:10.1177/0163443716643157.
  • Karnowski, V., A. S. Kümpel, L. Leonhard, and D. J. Leiner. 2017. “From Incidental News Exposure to News Engagement. How Perceptions of the News Post and News Usage Patterns Influence Engagement with News Articles Encountered on Facebook.” Computers in Human Behavior 76: 42–50. doi:10.1016/j.chb.2017.06.041.
  • Kitchin, R. 2017. “Thinking Critically About and Researching Algorithms.” Information, Communication & Society 20 (1): 14–29. doi:10.1080/1369118X.2016.1154087.
  • Kliman-Silver, C., A. Hannak, D. Lazer, C. Wilson, and A. Mislove. 2015. “Location, Location, Location.” Paper presented at Proceedings of the 2015 ACM Conference on Internet Measurement Conference - IMC ’15, 121–127, ACM Press, New York, USA. doi:10.1145/2815675.2815714.
  • Krafft, T. D., M. Gamer, M. Laessing, and K. A. Zweig. 2017. Filterblase Geplatzt ? Kaum Raum für Personalisierung bei Google-Suchen zur Bundestagswahl 2017. Berlin: AlgorithmWatch.
  • Mowshowitz, A., and A. Kawaguchi. 2002a. “Bias on the Web.” Communications of the ACM 45 (9): 56–60. doi:10.1145/567498.567527.
  • Mowshowitz, A., and A. Kawaguchi. 2002b. “Assessing Bias in Search Engines.” Information Processing and Management 38 (1): 141–156. doi:10.1016/S0306-4573(01)00020-6.
  • Mowshowitz, A., and A. Kawaguchi. 2005. “Measuring Search Engine Bias.” Information Processing and Management 41 (5): 1193–1205. doi:10.1016/j.ipm.2004.05.005.
  • Newman, N., R. Fletcher, A. Kalogeropoulos, D. A. L. Levy, and R. K. Nielsen. 2018. Reuters Institute Digital News Report 2018. Oxford: Reuters Institute for the Study of Journalism. http://media.digitalnewsreport.org/wp-content/uploads/2018/06/digital-news-report-2018.pdf.
  • Nielsen, R. K., and S. A. Ganter. 2018. “Dealing with Digital Intermediaries: A Case Study of the Relations Between Publishers and Platforms.” New Media & Society 20 (4): 1600–1617. doi:10.1177/1461444817701318.
  • Nuernbergk, C., and J. Conrad. 2016. “Conversations and Campaign Dynamics in a Hybrid Media Environment: Use of Twitter by Members of the German Bundestag.” Social Media + Society 2 (1). doi:10.1177/2056305116628888.
  • Ørmen, J. 2016. “Googling the News: Opportunities and Challenges in Studying News Events Through Google Search. Digital Journalism 4 (1): 107–124. doi:10.1080/21670811.2015.1093272.
  • Pan, B., H. Hembrooke, T. Joachims, L. Lorigo, G. Gay, and L. Granka. 2007. “In Google We Trust: Users’ Decisions on Rank, Position, and Relevance.” Journal of Computer-Mediated Communication 12 (3): 801–823. doi:10.1111/j.1083-6101.2007.00351.x.
  • Pariser, E. 2012. The Filter Bubble: How the New Personalized Web is Changing What We Read and How We Think. New York: Penguin.
  • Radlinski, F., and S. Dumais. 2006. “Improving Personalized Web Search Using Result Diversification.” Paper presented at Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval – SIGIR ’06, 691. ACM Press, New York, USA. doi:10.1145/1148170.1148320.
  • Rieder, B., and G. Sire. 2014. “Conflicts of Interest and Incentives to Bias: A Microeconomic Critique of Google’s Tangled Position on the Web.” New Media and Society 16 (2): 195–211. doi:10.1177/1461444813481195.
  • Röhle, T. 2007. “Desperately Seeking the Consumer: Personalized Search Engines and the Commercial Exploitation of User Data.” First Monday 12 (9): 1–10.
  • Satariano, A., D. Wakabayashi, and C. Kang. (2018, August 28). “Trump Accuses Google of Burying Conservative News in Search Results.” The New York Times. https://www.nytimes.com/2018/08/28/business/media/google-trump-news-results.html.
  • Schmidt, J.-H. 2017. “Twitter-Nutzung von Kandidierenden der Bundestagswahl 2017. Verbreitung, Aktivität und Informationsquellen.” Media Perspektiven 12: 616–629.
  • Schröder, J. 2012. Analyse: der typische Spiegel-Online-Nutzer. http://meedia.de/2012/11/29/analyse-der-typische-spiegel-online-nutzer/.
  • Spink, A., B. J. Jansen, C. Blakely, and S. Koshman. 2006. “A Study of Results Overlap and Uniqueness Among Major Web Search Engines.” Information Processing and Management 42 (5): 1379–1391. doi:10.1016/j.ipm.2005.11.001.
  • Statista. 2017. So dominant ist Google in Europa. https://de-1statista-1com-100b48b610069.emedien3.sub.uni-hamburg.de/infografik/4696/marktanteile-von-google-in-europa/.
  • Sunstein, C. R. 2001. Republic.com. Princeton, NJ: Princeton University Press.
  • Toff, B., and R. K. Nielsen. 2018. “‘I Just Google It’: Folk Theories of Distributed Discovery.” Journal of Communication 68 (3): 636–657. doi:10.1093/joc/jqy009.
  • Trevisan, F., A. Hoskins, S. Oates, and D. Mahlouly. 2018. “The Google Voter: Search Engines and Elections in the New Media Ecology.” Information, Communication & Society 21 (1): 111–128. doi:10.1080/1369118X.2016.1261171.
  • Van Couvering, E. 2007. Is Relevance Relevant? Market, Science, and War: Discourses of Search Engine Quality. Journal of Computer-Mediated Communication 12 (3): 866–887. doi:10.1111/j.1083-6101.2007.00354.x.
  • van Couvering, E. 2009. Search Engine Bias. http://etheses.lse.ac.uk/41/.
  • van der Loo, M. 2014. {stringdist}: An {R} Package for Approximate String Matching. The R Journal 6 (1): 111–122.
  • Van Leuven, S., S. Kruikemeier, S. Lecheler, and L. Hermans. 2018. “Online and Newsworthy.” Digital Journalism 6 (7): 798–806. doi:10.1080/21670811.2018.1498747.
  • Vaughan, L., and M. Thelwall. 2004. “Search Engine Coverage Bias: Evidence and Possible Causes.” Information Processing and Management 40 (4): 693–707. doi:10.1016/S0306-4573(03)00063-3.
  • Welch, M. J., J. Cho, and C. Olston. 2011. “Search Result Diversity for Informational Queries.” Paper presented at Proceedings of the 20th International Conference on World Wide Web – WWW ’11, 237. New York: ACM. doi:10.1145/1963405.1963441.
  • Westlund, O. 2013. “Mobile News: A Review and Model of Journalism in an Age of Mobile Media.” Digital Journalism 1 (1): 6–26. doi:10.1080/21670811.2012.740273.
  • Yeung, K. 2017. “‘Hypernudge’: Big Data as a Mode of Regulation by Design.” Information, Communication & Society 20 (1): 118–136. doi:10.1080/1369118X.2016.1186713.
  • Zimmer, M. 2008. “The Externalities of Search 2.0: The Emerging Privacy Threats when the Drive for the Perfect Search Engine meets Web 2.0.” First Monday 13 (3): 1–12. doi:10.5210/fm.v13i3.2136.
  • Zuiderveen Borgesius, F. J., D. Trilling, J. Möller, B. C. H. Bodó, de Vreese, and N. Helberger. 2016. “Should We Worry About Filter Bubbles?” Internet Policy Review 5 (1): 1–16. doi:10.14763/2016.1.401.

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