Results 11 to 20 of about 145,174 (370)
Optimal Crowdsourcing Contests [PDF]
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2011 We study the design and approximation of optimal crowdsourcing contests. Crowdsourcing contests can be modeled as all-pay auctions because entrants must exert effort up-front to enter.
Chawla, Shuchi +2 more
core +8 more sources
Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications
Future Internet, 2022 Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices.
Kenneth Li Minn Ang +2 more
doaj +2 more sources
Crowdsourcing in health and medical research: a systematic review
Infectious Diseases of Poverty, 2020 Background Crowdsourcing is used increasingly in health and medical research. Crowdsourcing is the process of aggregating crowd wisdom to solve a problem.
Cheng Wang +14 more
doaj +2 more sources
Crowdsourcing, Attention and Productivity [PDF]
SSRN Electronic Journal, 2008 We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases ...
Bernardo A. Huberman +2 more
openalex +6 more sources
Cross-Task Generalization via Natural Language Crowdsourcing Instructions [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Humans (e.g., crowdworkers) have a remarkable ability in solving different tasks, by simply reading textual instructions that define them and looking at a few examples.
Swaroop Mishra +3 more
semanticscholar +1 more source
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 The emergence of generative large language models (LLMs) raises the question: what will be its impact on crowdsourcing? Traditionally, crowdsourcing has been used for acquiring solutions to a wide variety of human-intelligence tasks, including ones ...
Ján Cegin +2 more
semanticscholar +1 more source
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 The use of crowdworkers in NLP research is growing rapidly, in tandem with the exponential increase in research production in machine learning and AI.
Boaz Shmueli +3 more
semanticscholar +1 more source
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding [PDF]
European Conference on Computer Vision, 2016 Computer vision has a great potential to help our daily lives by searching for lost keys, watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision methods need to be trained from real and diverse examples of our daily ...
Gunnar A. Sigurdsson +5 more
semanticscholar +1 more source
Crowdsourcing for bioinformatics [PDF]
Bioinformatics, 2013 Abstract Motivation: Bioinformatics is faced with a variety of problems that require human involvement. Tasks like genome annotation, image analysis, knowledge-base population and protein structure determination all benefit from human input.
Benjamin M. Good, Andrew I. Su
openaire +4 more sources
Machines, 2023 Crowdsourcing design is generally monitored by the platform. However, the traditional crowdsourcing platforms face problems such as centralization, lack of credibility and vulnerability to single point of failure.
Dianting Liu, Dong Liang
doaj +1 more source