The wisdom of crowds.

By Ellen Teesdale. 2016

2,272 citations recorded by the source corpus.

Subfields: Psychiatry and Mental health, Game & Decision Theory, Social Sciences & Humanities

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Citations in the corpus

How algorithmic popularity bias hinders or promotes quality (2017, background): “The usefulness of such rankings is predicated on the wisdom of the crowd [33]: high-quality choices will gain early popularity, and in turn become more likely to be selected because they are more visible.”
Ensemble Methods for Causal Effects in Panel Data Settings (2019, background): “Surowiecki, James.”
Socially aware motion planning with deep reinforcement learning (2017, background): “Evidently, pedestrian navigation conventions are not unique, as the direction (e.g., left-handed vs. right-handed) and strength (e.g., separation distance) vary in different countries [24], as illustrated in Fig.”
Retail Short Selling and Stock Prices (2016, background): “However, recent empirical studies challenge the stereotype that retail investors are uninformed (Surowiecki 2004; Kaniel, Saar, and Titman 2008; Kelley and Tetlock 2013; Chen et al. 2014).”
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text (2014, methodology): “We used a wis- dom-of-the-crowd 13 (WotC) approach (Surowiecki, 2004) to acquire a valid point estimate for the sentiment valence (intensity) of each context-free candidate feature.”
Modelling Bounded Rationality in Organizations: Progress and Prospects† (2015, background): “specifies the notion of wisdom of crowds (Surowiecki, 2005).”
Forecast combinations: An over 50-year review (2022, background): “…combining multiple individual forecasts dates back at least to Francis Galton, who in 1906 visited an ox-weight-judging competition and observed that the average of 787 estimates of an ox’s weight was remarkably close to the ox’s actual weight; see Surowiecki (2005) for more details of the story.”
Digital innovation: A review and synthesis (2019, background): “Finally, new business models leveraging the wisdom of crowds (Surowiecki, 2004) provide new mechanisms by which firms can draw diverse and potentially valuable knowledge to the firm to support the initiation process (Leimeister, Huber, Bretschneider, & Krcmar, 2009).”
Psychological Approaches to Credibility Assessment Online (2015, background): “…mechanisms work best when a diversity of opinions are represented, when individual opinions are independent of others' influence, when community members are able to draw upon specialized local knowledge, and when the convergence of judgments within a community is facilitated (Surowiecki, 2005).”
A survey of the use of crowdsourcing in software engineering (2017, background): “This idea echoes the earlier book ‘The Wisdom of the Crowds’ (James, 2004) and also finds some resonance in the principles of Open Source Software (OSS) development (Kogut 165 and Metiu, 2001).”
Moderating with the Mob: Evaluating the Efficacy of Real-Time Crowdsourced Fact-Checking (2021, background): “…intelligence suggests that aggregated estimates from groups of ordinary people converge on accurate judgements, even if the average individual estimate in the group is not especially accurate (Golub and Jackson 2010; Surowiecki 2005; Woolley et al. 2010; Woolley, Aggarwal, and Malone 2015).”
Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk (2015, background): “Strategy 4 – Aggregating, iteratively filtering, or both One way to mitigate the problem is to use aggregated data, or by searching for congruent responses by taking advantage of the wisdom-of-the-crowd(1) and accepting only the majority agreement from multiple independent workers [13,42].”
Quantifying herding effects in crowd wisdom (2014, background): “While the crowd wisdom applies usefully to a spectrum of domains, ranging from product or service recommendation [10] and crowdsourcing [5, 20, 26] to stock markets and political elections [22], one key prerequisite of harnessing the crowd wisdom is the independency of individuals’ opinions [22].”