Reactive crowdsourcing

Bozzon, Alessandro; Brambilla, Marco; Ceri, Stefano; Mauri, Andrea

doi:10.1145/2488388.2488403

Cited by 38 publications

(31 citation statements)

References 15 publications

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“…Our approach was subsequently integrated with a reactive paradigm so as to allow dynamic and continuous evolution of crowdsourcing strategies based on the response of the workers [5], by applying techniques largely inspired by the works on reactive databases and datawarehousing.…”

Section: Crowd Modeling Using Crowdsearchermentioning

confidence: 99%

Modeling, Modeling, Modeling: From Web to Enterprise to Crowd to Social

Brambilla

Ceri

2017

Studies in Big Data

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Abstract. Data management is continuously evolving for serving the needs of an increasingly connected society. New challenges apply not only to systems and technology, but also to the models and abstractions for capturing new application requirements. In this paper, we describe several models and abstractions which have been progressively designed to capture new forms of data-centered interactions in the last twentyfive years -a period of huge changes due to the spreading of web-based applications and the increasingly relevant role of social interactions. We initially focus on Web-based applications for individuals, then discuss applications among enterprises, then we discuss how these applications may include rankings which are computed using services or using crowds; we conclude with hints to a recent research discussing how social sources can be used for capturing emerging knowledge.

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Section: Crowd Modeling Using Crowdsearchermentioning

confidence: 99%

Modeling, Modeling, Modeling: From Web to Enterprise to Crowd to Social

Brambilla

Ceri

2017

Studies in Big Data

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“…Another type of incentive is social incentives. Some crowds may take part in crowdsourcing activities in order to gain peer recognition [64] or public recognition [35,61,67]. The third form of incentives that a crowdsourcer may provide for the crowd is entertainment incentives.…”

Section: A Pillar One: the Crowdmentioning

confidence: 99%

The four pillars of crowdsourcing: A reference model

Hosseini

Phalp

Taylor

et al. 2014

2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)

132

104

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Abstract-Crowdsourcing is an emerging business model where tasks are accomplished by the general public; the crowd. Crowdsourcing has been used in a variety of disciplines, including information systems development, marketing and operationalization. It has been shown to be a successful model in recommendation systems, multimedia design and evaluation, database design, and search engine evaluation. Despite the increasing academic and industrial interest in crowdsourcing, there is still a high degree of diversity in the interpretation and the application of the concept. This paper analyses the literature and deduces a taxonomy of crowdsourcing. The taxonomy is meant to represent the different configurations of crowdsourcing in its main four pillars: the crowdsourcer, the crowd, the crowdsourced task and the crowdsourcing platform. Our outcome will help researchers and developers as a reference model to concretely and precisely state their particular interpretation and configuration of crowdsourcing.

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“…In [3], the authors allow the requester to define a set of rules that, depending on the workers' performance, can trigger different actions, adjusting the execution process according to the requester's requirements. A sensible design of low-level rules could be able to achieve a functionality similar to ReLauncher.…”

Section: Related Workmentioning

confidence: 99%