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Crowdsourcing for NLP

Chris Callison-Burch, Lyle Ungar, Ellie Pavlick
2015 Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts  
We will introduce different crowdsourcing platforms, review privacy and institutional review board issues, and provide rules of thumb for cost and time estimates.  ...  data in the context of psychology; e.g. finding how word use varies with age, sex, personality, health, and happiness.  ... 
doi:10.3115/v1/n15-4002 dblp:conf/naacl/Callison-BurchU15 fatcat:2f36irnsn5bybo6kou3lfavzry

Ushahidi: Empowering Citizens through Crowdsourcing and Digital Data Collection

Juliana Rotich
2017 Field Actions Science Reports  
Created in 2007, Ushahidi which means "testimony" in Swahili, is both the name of a Kenyan not-for-profit civic tech company and of a crowdsourcing platform allowing to submit violence reports and map  ...  In this interview, Juliana Rotich, co-founder and former Executive Director of Ushahidi, introduces the Ushahidi technology and the next challenges to face, notably in the context of African smart cities  ...  It could be a powerful tool to monitor and analyze data in times of crisis.  ... 
doaj:24134d97ee4a43419e3118195c625df7 fatcat:retruij2dvdrhbfpw4zkjv27ga

A Survey on Crowdsourcing Applications in Smart Cities [article]

Hamed Vahdat-Nejad, Tahereh Tamadon, Fatemeh Salmani, Zeynab kiani-Zadegan, Sajedeh Abbasi, Fateme-Sadat Seyyedi
2022 arXiv   pre-print
This survey helps in understanding the current situation of smart cities from the viewpoint of crowdsourcing and discusses the future research directions in this field.  ...  Since smartification requires a variety of dynamic information in different urban dimensions, mobile crowdsourcing has gained importance in smart cities.  ...  Mobile crowdsourcing is a paradigm for the real-time collection of a great deal of information on smart transportation in cities [94] .  ... 
arXiv:2204.05421v1 fatcat:pivanu7frbc3xgbsjsvrquafnm

Guest Editorial Special Issue on Trust, Security, and Privacy in Crowdsourcing

Zheng Yan, Kai Zeng, Yu Xiao, Thomas hou, Pierangela Samarati
2018 IEEE Internet of Things Journal  
), the Project Supported by Natural Science Basic Research Plan in Shaanxi Province of  ...  Acknowledgment This work is sponsored by the NSFC (grants 61672410 and U1536202), the National Key Research and Development Program of China (grant 2016YFB0800704), the NSFC (grants 61672410 and U1536202  ...  multi-keyword search in the context of MCS in the paper titled "Practical Attribute-Based Multi-keyword Search Scheme in Mobile Crowdsourcing".  ... 
doi:10.1109/jiot.2018.2860302 fatcat:jsi4pc4lerbh3mqz66bmhmxhzy

Emotional Crowdsourcing Tool Design for Product Development: A Case Study Using Local Crowds [chapter]

Shengfeng Qin, Yuxuan Zhou
2018 Advances in Intelligent Systems and Computing  
and then identify a set of emotions and corresponding design features applicable for a crowdsourcing platform design and gain better understanding of common key concerns affecting the users' satisfaction  ...  To maximize its utility, regarding a crowdsourcing tool as an everyday thing used by crowds, in this paper, we integrate emotion and emotional design into a human-centred design process with local crowds  ...  Here, we focus on the crowdsourcing platform design issues with a new lens of emotional design in the context of supporting new product development.  ... 
doi:10.1007/978-3-319-94944-4_3 fatcat:pw3pe34cknaztaywflwjy426xy

Coastal marine data crowdsourcing using the Internet of Floating Things: Improving the results of a water quality model

Diana Di Luccio, Angelo Riccio, Ardelio Galletti, Giuliano Laccetti, Marco Lapegna, Livia Marcellino, Sokol Kosta, Raffaele Montella
2020 IEEE Access  
The selected application focuses on predicting the spatial and temporal pattern of sea pollutants and their possible presence and time of persistence in the proximity of mussel farm areas in the Bay of  ...  While the everything as a sensor is a typical data gathering pattern in the Internet of Things (IoT) applications in contexts such as smart cities, smart factories, and precision agriculture, among others  ...  2 From the open data point of view, the project run in the context of OpenSeaMap 3 has the aim to collect leisure yachts GPS positions and depth data from the on board echo sounder on a volunteer basis  ... 
doi:10.1109/access.2020.2996778 fatcat:4zknl63nrrhapbhs7aq7kvoymq

Introduction to the Special Issue on Crowd in Intelligent Systems

Kuan-Ta Chen, Omar Alonso, Martha Larson, Irwin King
2016 ACM Transactions on Intelligent Systems and Technology  
We thank them for their time and dedication and appreciatively acknowledge the support of the ACM TIST editorial board.  ...  Jose, studies gamification in crowdsourcing in the context of relevance assessments. The article describes a game framework where competition among workers is used as incentive.  ... 
doi:10.1145/2920522 fatcat:6tw7jp544rbpzhb22cqirtzpty

Towards A Reliable Ground-Truth For Biased Language Detection [article]

Timo Spinde, Jan-David Krieger, Manuel Plank, Bela Gipp
2021 figshare.com  
We conclude that detailed annotator training increases data quality, improving the performance of existing bias detection systems. We will continue to extend our dataset in the future.  ...  Our results demonstrate the existing crowdsourcing approaches' lack of data quality, underlining the need for a trained expert framework to gather a more reliable dataset.  ...  Crowdsourcing We first seek to compare user performances on MTurk and Prolific in the context of media bias. We rely on the news bias dataset provided by [8] as data ground-truth.  ... 
doi:10.6084/m9.figshare.17192885.v1 fatcat:2heuszttbfadbo7eilgyeixnry

Towards A Reliable Ground-Truth For Biased Language Detection [article]

Timo Spinde, Jan-David Krieger, Manuel Plank, Bela Gipp
2021 figshare.com  
We conclude that detailed annotator training increases data quality, improving the performance of existing bias detection systems. We will continue to extend our dataset in the future.  ...  Our results demonstrate the existing crowdsourcing approaches' lack of data quality, underlining the need for a trained expert framework to gather a more reliable dataset.  ...  Crowdsourcing We first seek to compare user performances on MTurk and Prolific in the context of media bias. We rely on the news bias dataset provided by [6] as data ground-truth.  ... 
doi:10.6084/m9.figshare.17192885 fatcat:7ktjhxvysffa5m7yemqxawt7lm

Context Weaver: Awareness and feedback in networked mobile crowdsourcing tools

Tomoyo Sasao, Shin'ichi Konomi, Masatoshi Arikawa, Hideyuki Fujita
2015 Computer Networks  
Mobile crowdsourcing allows people to collect data using a large pool of participants. In this paper, we focus on mobile crowdsourcing for citizens to solve local issues in context.  ...  We discuss a methodology for exploratory mobile crowdsourcing by citizens based on the provision of mutual awareness and rapid feedback in context.  ...  Conclusion We have discussed the design of networked mobile crowdsourcing tools based 630 on the field trials of Context Weaver.  ... 
doi:10.1016/j.comnet.2015.05.022 fatcat:xxgwnhpecrbvhgrt7ahpjdmv7e

The Dos and Dont's of Crowdsourcing Software Development [chapter]

Brian Fitzgerald, Klaas-Jan Stol
2015 Lecture Notes in Computer Science  
particularly in an outsourcing context where companies seek to take advantage of resources beyond co-located developers on a single site.  ...  As mentioned, the OSS phenomenon has inspired other forms of outsourcing, of which crowdsourcing is one. This work will focus on crowdsourcing in software development.  ... 
doi:10.1007/978-3-662-46078-8_6 fatcat:bzg66bar2jbv7n27b5olj2hyx4

Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing [article]

Boaz Shmueli, Jan Fell, Soumya Ray, Lun-Wei Ku
2021 arXiv   pre-print
We find that the Final Rule, the common ethical framework used by researchers, did not anticipate the use of online crowdsourcing platforms for data collection, resulting in gaps between the spirit and  ...  The use of crowdworkers in NLP research is growing rapidly, in tandem with the exponential increase in research production in machine learning and AI.  ...  This research was partially supported by the Ministry of Science and Technology in Taiwan under grants MOST 108-2221-E-001-012-MY3 and MOST 109-2221-E-001-015- [sic].  ... 
arXiv:2104.10097v1 fatcat:qjlcivrkrfhmffyauvnxipmcfy

Two's company, three's a crowd: a case study of crowdsourcing software development

Klaas-Jan Stol, Brian Fitzgerald
2014 Proceedings of the 36th International Conference on Software Engineering - ICSE 2014  
Crowdsourcing has been applied quite successfully in various contexts from basic tasks on Amazon Mechanical Turk to solving complex industry problems, e.g. InnoCentive.  ...  The development cost was much greater than originally expected, overhead in terms of company effort to prepare specifications and answer crowdsourcing community queries was much greater, and the time-scale  ...  This work was supported, in part, by Science Foundation Ireland grant 10/CE/I1855 to Lero-the Irish Software Engineering Research Centre (www.lero.ie).  ... 
doi:10.1145/2568225.2568249 dblp:conf/icse/StolF14 fatcat:lrhxu373bjgxlappipmjgdgqkq

Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning [article]

Ahmed Ben Said, Abdelkarim Erradi
2019 arXiv   pre-print
In this paper, we propose Deep-Gap, a deep learning approach based on residual learning to predict the gap between mobile crowdsourced service supply and demand at a given time and space.  ...  However, the success of mobile crowdsourcing relies on balancing the supply and demand by first accurately forecasting spatially and temporally the supply-demand gap, and then providing efficient incentives  ...  The statements made herein are solely the responsibility of the authors.  ... 
arXiv:1911.07625v1 fatcat:66efcqdq3vhr3p2tyfzvnhlfhi

Crowdsourcing Used in Higher Education: An Empirical Study on a Sustainable Translation Teaching Mode Based on Crowdsourced Translation

Min Zhang, Zhiyun Huang
2022 Sustainability  
This mode of translation teaching based on crowdsourcing has a certain reference value for the cultivation of high-quality language service talents and the construction of a new mode of personnel training  ...  The results demonstrate that the integration of crowdsourcing with translation teaching worked well.  ...  This research proposes an MTI translation teaching mode based on crowdsourced translation and project-based tasks, and explores the practical problems and their solutions in the teaching process.  ... 
doi:10.3390/su14063140 fatcat:agcv3oju65g2fou5smdowh2xhq
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