This paper analyses an experiment which studies the acquisition of the linguistic competence required to communicate logical combinations of categories from the wisdom of the crowds perspective. The acquisition of such competence encompasses both the construction of a set of logical categories by each individual agent and of a shared language by the population. The processes of conceptualisatio...

Social media users often make explicit predictions about upcoming events. Such statements vary in the degree of certainty the author expresses toward the outcome: “Leonardo DiCaprio will win Best Actor” vs. “Leonardo DiCaprio may win” or “No way Leonardo wins!”. Can popular beliefs on social media predict who will win? To answer this question, we build a corpus of tweets annotated for veridical...

Die Evolution des Internets in Richtung Web 2.0 zeigt einen klaren Trend hin zur Multi-User Interaction. Neben dem Einsatz neuer Technologien baut das Web 2.0 auf kollektives Wissen, (Wisdom of the Crowds). Das Social Web ermöglicht einer Vielzahl von Nutzern, aktiv zur gemeinsamen Schaffung von Inhalten und derer Vernetzung beizutragen. Die Site an sich stellt im Wesentlichen nur noch die Cont...

Techniques of online learning have evolved considerably, with the introduction of Learning Management Systems, Adaptive Learning Environments and Massive Open Onlines Courses (MOOC). However, the video resources contained within them have changed little, remaining fixed duration time-based media objects. This static nature of educational video contrasts with evolving landscape of personalizatio...

Under the right circumstances, groups can be remarkably intelligent and statistical aggregates of individuals’ decisions can outperform individual’s and expert’s decisions. Examples of this wisdom of crowds effect range from markets, auctions, political polls, internet search engines to quiz shows (Galton, 1907; Lorge, Fox, Davitz, & Brenner, 1958; Surowiecki, 2004; Page, 2007; Mannes, 2009). R...

The paper describes a novel algorithm, inspired by the phenomenon of wisdom of crowds, for solving instances of NP-hard problems. The proposed approach achieves superior performance compared to the genetic algorithm-based approach and requires modest computational resources. On average, a 6%–9% improvement in quality of solutions has been observed.

Prediction markets are an interesting instrument to draw on the “wisdom of the crowds”, e.g., to forecast sales or project risks. So far, mainly two market mechanisms have been implemented in prediction markets, the continuous double auction and logarithmic market scoring rule. However, the effects of the choice between these two market mechanisms on relevant variables such as prediction market...