The Wisdom of Crowds: Why the Many Are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations
By Edmund A. Mennis. 2006
2,136 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6d014d46d3636709d0b1df2e752e4d253c8111b7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Daniel G. Goldstein
- Percy Liang
- Xirong Li
- Cees G. M. Snoek
- Gerd Gigerenzer
- Tatsunori B. Hashimoto
- J. Eggers
- Yoshua Bengio
Citations in the corpus
- The social psychology of the wisdom of crowds. (2012, background): “‖ the studio audience answered the trivia questions correctly 91% of the time (Surowiecki, 2004).”
- A User's Guide to Debiasing (2014, background): “The idea of harnessing the “wisdom of crowds” has been applied to a wide variety of contexts, ranging from sports prediction markets to national security (Surowiecki, 2004).”
- The Bias of Crowds: How Implicit Bias Bridges Personal and Systemic Prejudice (2017, background): “If you show a crowd a jar of jelly beans and ask how many there are, the average of the individual guesses is likely to be more accurate than even the most accurate individual (Surowiecki, 2004).”
- MOVING THE CROWD AT THREADLESS (2010, background): “The Web is an ideal technology for aggregating millions of disparate, independent ideas without the dangers of ‘too much communication’ and compromise (Surowiecki 2004, p. xix).”
- Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods (2019, methodology): “As an alternative, we pursued a “wisdom of crowds” approach [60], where we define true fusions for benchmarking purposes as those predicted by at least n different methods, false predictions as those predicted uniquely by any single method, and unsure (unscored) fusions as those non-unique fusions p”
- Crowdsourcing the Public Participation Process for Planning Projects (2009, background): “(Surowiecki, 2004: 11) The medium of the Web The Web enables a kind of networked, creative thinking, encourages the mind to wander down winding paths to unknown mental explorations (see Bush, 1945).”
- A practical guide to structured expert elicitation using the IDEA protocol (2018, background): “The inability to identify the best expert means that groups of multiple experts almost always perform as well as, or better than, the best regarded expert(s) (Burgman et al., 2011; Hora, 2004; Mellers et al., 2014; Surowiecki, 2004).”
- Power, competitiveness, and advice taking: Why the powerful don’t listen (2012, background): “In recent years, there has been increasing interest in the fact that averaging judgments across people increases the accuracy of judgments (Clemen, 1989), which has been termed the ‘‘wisdom of crowds’’ (Surowiecki, 2004).”
- Open innovation: State of the art and future perspectives (2011, background): “When firms aim to activate and exploit the ‘wisdom of the crowd’ (Surowiecki, 2004), they have to motivate and manage volunteers (Wallin and von Krogh, 2010), who have their own interests, unknown to the firm and potentially in conflict with firm interests.”
- When do people rely on algorithms (2016, background): “Crowds are often wiser than individuals as the robust work on the wisdom of crowds demonstrates (Galton, 1907; Surowiecki, 2004), especially as the group grows (Einhorn et al.”
- Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2012, background): “…recently, Web 2.0 suggests a new, reconceptualized World Wide Web (O’Reilly 2005; Vossen and Hage-mann 2007), characterized by a more decentralized mode of production, the role of servers as accumulators of content from distributed sources, and the exchange of content among users (Surowiecki 2004).”
- Rational approximations to rational models: alternative algorithms for category learning. (2010, unknown): “This effect echoes the wisdom of the crowds: the accuracy of the average over individuals can exceed the accuracy of the individuals (Surowiecki, 2004).”
- EPISTEMIC DEMOCRACY WITH DEFENSIBLE PREMISES1 (2013, background): “Propelled by claims in the popular literature that crowds can be ‘wise’ (Surowiecki 2004) and mobs ‘smart’ (Rheingold 2002), the CJT is now again widely discussed across various disciplines, even beyond academic circles.”