Human computation: a survey and taxonomy of a growing field

AJ Quinn, BB Bederson - Proceedings of the SIGCHI conference on …, 2011 - dl.acm.org
The rapid growth of human computation within research and industry has produced many
novel ideas aimed at organizing web users to do great things. However, the growth is not …

[图书][B] Big crisis data: social media in disasters and time-critical situations

C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

STFU NOOB! predicting crowdsourced decisions on toxic behavior in online games

J Blackburn, H Kwak - Proceedings of the 23rd international conference …, 2014 - dl.acm.org
One problem facing players of competitive games is negative, or toxic, behavior. League of
Legends, the largest eSport game, uses a crowdsourcing platform called the Tribunal to …

Dynamic bayesian combination of multiple imperfect classifiers

E Simpson, S Roberts, I Psorakis, A Smith - Decision making and …, 2013 - Springer
Classifier combination methods need to make best use of the outputs of multiple, imperfect
classifiers to enable higher accuracy classifications. In many situations, such as when …

Crowdsourcing and massively collaborative science: a systematic literature review and mapping study

A Correia, D Schneider, B Fonseca… - … and Technology: 24th …, 2018 - Springer
Current times are denoting unprecedented indicators of scientific data production, and the
involvement of the wider public (the crowd) on research has attracted increasing attention …

Program boosting: Program synthesis via crowd-sourcing

RA Cochran, L D'Antoni, B Livshits, D Molnar… - Proceedings of the …, 2015 - dl.acm.org
In this paper, we investigate an approach to program synthesis that is based on crowd-
sourcing. With the help of crowd-sourcing, we aim to capture the" wisdom of the crowds" to …

MOOCs and crowdsourcing: Massive courses and massive resources

J Prpic, J Melton, A Taeihagh, T Anderson - arXiv preprint arXiv …, 2017 - arxiv.org
Premised upon the observation that MOOC and crowdsourcing phenomena share several
important characteristics, including IT mediation, large-scale human participation, and …

Perspectives on crowdsourcing annotations for natural language processing

A Wang, CDV Hoang, MY Kan - Language resources and evaluation, 2013 - Springer
Crowdsourcing has emerged as a new method for obtaining annotations for training models
for machine learning. While many variants of this process exist, they largely differ in their …

Bayesian methods for intelligent task assignment in crowdsourcing systems

E Simpson, S Roberts - Decision Making: Uncertainty, Imperfection …, 2015 - Springer
In many decision-making scenarios, it is necessary to aggregate information from a number
of different agents, be they people, sensors or computer systems. Each agent may have …

Crowdsourcing thousands of specialized labels: A Bayesian active training approach

M Servajean, A Joly, D Shasha… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Large-scale annotated corpora have yielded impressive performance improvements in
computer vision and multimedia content analysis. However, such datasets depend on an …