Curation Algorithms and Filter Bubbles in Social Networks

References

• Athey S, Mobius MM, Pál J (2017) The impact of aggregators on internet news consumption. Working paper, Stanford University, Stanford, CA.Google Scholar
• Bakshy E, Messing S, Adamic LA (2015) Exposure to ideologically diverse news and opinion on Facebook. Sci. 348(6239):1130–1132.Crossref, Google Scholar
• Barberá P (2014) How social media reduces mass political polarization. Evidence from Germany, Spain, and the U.S. Working paper, New York University, New York.Google Scholar
• Boxell L, Gentzkow M, Shapiro JM (2017) Is the internet causing political polarization? Evidence from demographics. NBER Working Paper No. 23258, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Chiou L, Tucker C (2017) Content aggregation by platforms: The case of the news media. J. Econom. Management Strategy 26(4):782–805.Crossref, Google Scholar
• Dellarocas C, Katona Z, Rand W (2013) Media, aggregators, and the link economy: Strategic hyperlink formation in content networks. Management Sci. 59(10):2360–2379.Link, Google Scholar
• Flaxman S, Goel S, Rao JM (2016) Filter bubbles, echo chambers, and online news consumption. Public Opinion Quart. 80(S1):298–320.Crossref, Google Scholar
• Gentzkow M (2016) Polarization in 2016. Technical report, Stanford University, CA.Google Scholar
• Godes D, Ofek E, Sarvary M (2009) Content vs. advertising: The impact of competition on media firm strategy. Marketing Sci. 28(1):20–35.Link, Google Scholar
• Hosanagar K, Fleder D, Lee D, Buja A (2013) Will the global village fracture into tribes? Recommender systems and their effects on consumer fragmentation. Management Sci. 60(4):805–823.Link, Google Scholar
• Iyer G, Katona Z (2015) Competing for attention in social communication markets. Management Sci. 62(8):2304–2320.Link, Google Scholar
• Latzer M, Hollnbuchner K, Just N, Saurwein F (2016) The economics of algorithmic selection on the Internet. Bauer JM, Latzer M, eds. Handbook on the Economics of the Internet (Edward Elgar Publishing, Northampton, MA), 395–425.Crossref, Google Scholar
• Lee JK, Choi J, Kim C, Kim Y (2014) Social media, network heterogeneity, and opinion polarization. J. Comm. 64(4):702–722.Crossref, Google Scholar
• Linden G, Smith B, York J (2003) Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Comput. 7(1):76–80.Crossref, Google Scholar
• Nguyen TT, Hui P-M, Harper FM, Terveen L, Konstan JA (2014) Exploring the filter bubble: The effect of using recommender systems on content diversity. Chung C-W, ed. Proc. 23rd Internat. Conf. World Wide Web (ACM, New York), 677–686.Google Scholar
• Oestreicher-Singer G, Sundararajan A (2012) Recommendation networks and the long tail of electronic commerce. Management Inform. Systems Quart. 36(1):65–84.Crossref, Google Scholar
• Pariser E (2011) The Filter Bubble: What the Internet Is Hiding from You (Penguin UK, London).Google Scholar
• Rodriguez MG, Gummadi K, Schoelkopf B (2014) Quantifying information overload in social media and its impact on social contagions. Adar E, Resnick P, eds. 8th Internat. AAAI Conf. Weblogs Social Media (AAAI Press, Palo Alto, CA), 170–179.Google Scholar
• Roos JMT, Mela CF, Shachar R (2015) The effect of links and excerpts on internet news consumption. Working paper, Erasmus University Rotterdam, Rotterdam, Netherlands. Google Scholar
• Shardanand U, Maes P (1995) Social information filtering: Algorithms for automating “word of mouth.” Katz IR, Mack R, Marks L, Rosson MB, Nielsen J, eds. Proc. SIGCHI Conf. Human Factors Comput. Systems (ACM Press/Addison-Wesley Publishing Co., New York), 210–217.Google Scholar
• Su J, Sharma A, Goel S (2016) The effect of recommendations on network structure. Bourdeaub J, Hendler JA, Nkambou R, eds. Proc. 25th Internat. Conf. World Wide Web (International World Wide Web Conferences Steering Committee, Geneva, Switzerland), 1157–1167.Google Scholar
• Van Alstyne M, Brynjolfsson E (2005) Global village or cyber-balkans? Modeling and measuring the integration of electronic communities. Management Sci. 51(6):851–868.Link, Google Scholar