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Utilizing short version big five traits on crowdsouring
2020
International Journal of Crowd Science
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Purpose The purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing. ...
Originality/value This is the first research to investigate the efficacy of TIPI-J on crowdsourcing and showed that TIPI-J can be a useful tool for predicting crowd workers' performance and thus it can ...
The results generally supported the reliability and validity of the TIPI-J. Big five on crowdsourcing. ...
doi:10.1108/ijcs-11-2019-0031
fatcat:pz4u4kkmkff4bcafeqodgfakwm
Tracking Gauteng thunderstorms using Crowdsourced Twitter data between Soweto and Pretoria
2014
The Journal for Transdisciplinary Research in Southern Africa
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This paper investigates the possibility of mapping the track of Gauteng thunderstorms by using crowdsourced data from Twitter. ...
This paper describes a model (entitled the ThunderChatter Model) and instantiation of that model which extracts data from Twitter, analyses the textual information for thunderstorm information and plots ...
The maps containing the crowdsourced Twitter data in Figures 1 and 2 were generated using Google's Maps API. The map of Gauteng in Figure 4 is from the Gauteng Region-City Observatory. ...
doi:10.4102/td.v10i3.178
fatcat:3vq7lxrlm5aljedjj2jlzjdtgu
Crowdsourcing User-Generated Mobile Sensor Weather Data for Densifying Static Geosensor Networks
2017
ISPRS International Journal of Geo-Information
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This paper investigates the use of crowdsourcing user-generated weather data, namely ambient temperature and relative humidity, for the augmentation and densification of ESNs. ...
This paper explores the use of crowdsourced user-generated sensor weather data from mobile devices for the creation of a unified and densified geosensor network. ...
Acknowledgments: The authors would like to thank IMS and KKL-JNF for delivering with information regarding the position and impact zones of IMS; and the OpenSignal team, delivering with valuable information ...
doi:10.3390/ijgi6030061
fatcat:esrrvg54fra4fnrc7bosmwsa6m
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
2019
Proceedings of the 2019 Conference of the North
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Only a limited number of studies have investigated modelling perinstance reliability and these only considered binary labels. ...
In this paper, we propose an unsupervised model which can handle both binary and multi-class labels. ...
The work is funded by School of Computer Science Kilburn Overseas Fees Bursary from University of Manchester. ...
doi:10.18653/v1/n19-1295
dblp:conf/naacl/LiMMA19
fatcat:duvhlqgivzdo7f7bm62adzxofu
CrowdService
2018
ACM Transactions on Internet Technology
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In this paper, we develop a framework, named CROWDSERVICE, which supplies crowd intelligence and labor as publicly accessible crowd services via mobile crowdsourcing. ...
For example, the selection of an optimal set of workers from those who bid to perform a task needs to be made based on their reliability, expected reward, and distance to the target locations. ...
To the best of our knowledge, we are the first to investigate service composition that includes human services provided by mobile crowdsourcing. ...
doi:10.1145/3108935
fatcat:ifjqd75j6bfgrjgtrrju2au2qq
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
[article]
2019
arXiv
pre-print
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Only a limited number of studies have investigated modelling per-instance reliability and these only considered binary labels. ...
In this paper, we propose an unsupervised model which can handle both binary and multi-class labels. ...
The work is funded by School of Computer Science Kilburn Overseas Fees Bursary from University of Manchester. ...
arXiv:1905.04981v1
fatcat:526ddsajdbe3zlicuxsdmasj6a
Crowdsourcing for book search evaluation
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
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In this paper we investigate the design and implementation of effective crowdsourcing tasks in the context of book search evaluation. ...
We assess the output in terms of label agreement with a gold standard data set and observe the effect of the crowdsourced relevance judgments on the resulting system rankings. ...
Acknowledgments Jaap Kamps and Marijn Koolen were supported by the Netherlands Organization for Scientific Research (NWO, grant # 639.072.601). ...
doi:10.1145/2009916.2009947
dblp:conf/sigir/KazaiKKM11
fatcat:5ekvpblhrfdehkmey76nkpjlbq
Mining Crowdsourced First Impressions in Online Social Video
2014
IEEE transactions on multimedia
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In this paper, we address the problems of (1) crowdsourcing the annotation of first impressions of video bloggers (vloggers) personal and social traits in conversational YouTube videos, and (2) mining ...
First, we design a human annotation task to crowdsource impressions of vloggers that extends a tradition of studies of personality impressions with the addition of attractiveness and mood impressions. ...
ACKNOWLEDGMENT We thank the support of the Swiss National Science Foundation (SNSF) through the IM2 project. ...
doi:10.1109/tmm.2014.2346471
fatcat:dadz7rly4rc67kbja76xdd3lda
Fluid Composition of Intermittent IoT Energy Services
[article]
2020
arXiv
pre-print
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We propose a novel fluid composition approach of wireless energy services in a crowdsourced IoT environment. ...
We leverage the mobility patterns of the crowd in confined areas to capture the intermittent behavior of IoT energy services. ...
We conduct a set of experiments to investigate the scalability and the effectiveness of the proposed composition technique. ...
arXiv:2008.00787v1
fatcat:ynvyegawqrhqdb23eu3fhyds74
Learning from various labeling strategies for suicide-related messages on social media: An experimental study
[article]
2017
arXiv
pre-print
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We conducted multiple rounds of data labeling and collected annotations from crowdsourcing workers and domain experts. ...
So how to obtain reliable gold standard labels is fundamentally challenging and, we hypothesize, depends largely on what is asked of the annotators and what slice of the data they label. ...
We also plan to investigate to what extent we could reduce the reliability loss of the disagreement among multiple annotators on the final output supervised models. ...
arXiv:1701.08796v1
fatcat:inh4irh7y5a5tid3rs4cnqnge4
Blockchain-Assisted Crowdsourced Energy Systems
[article]
2018
arXiv
pre-print
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This paper explores a framework for Crowdsourced Energy Systems (CES), where small-scale energy generation or energy trading is crowdsourced from distributed energy resources, electric vehicles, and shapable ...
The merits/pillars of energy crowdsourcing are discussed. Then, an operational model for CESs in distribution networks with different types of crowdsourcees is proposed. ...
ACKNOWLEDGMENTS The authors acknowledge the anonymous reviewers and Dr. Nikolaos Gatsis for their helpful comments and suggestions. ...
arXiv:1802.03099v2
fatcat:ij7lu54hazg55fxr4mqqa4ki2e
Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions
2018
Reviews of Geophysics
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This paper also features a review of 93 papers dealing with issues that are common to data acquisition methods in different domains of geophysics, including the management of crowdsourcing projects, data ...
In this paper, crowdsourcing-based data acquisition methods that have been used in seven domains of geophysics, including weather, precipitation, air pollution, geography, ecology, surface water and natural ...
Acknowledgments, Samples, and Data Professor Feifei Zheng ...
doi:10.1029/2018rg000616
fatcat:365pv43nbvdrvbpt6elmlmpmca
Worker Performance in a Situated Crowdsourcing Market
2015
Interacting with computers
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several types of crowdsourcing. ...
We present an empirical study that investigates crowdsourcing performance in a situated market. ...
This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), and the European Commission (Grants PCIG11-GA-2012-322138 and 645706-GRAGE). ...
doi:10.1093/iwc/iwv035
fatcat:fu3dpvo47bakbcmlm5f43nnrta
Algorithmic Management for Improving Collective Productivity in Crowdsourcing
2017
Scientific Reports
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By analysing typical crowdsourcing system dynamics, we established a simple and novel worker desirability index (WDI) jointly considering the effect of each worker's reputation, workload and motivation ...
Crowdsourcing systems are complex not only because of the huge number of potential strategies for assigning workers to tasks, but also due to the dynamic characteristics associated with workers. ...
output over a period of time and predict its likely value in the immediate future. ...
doi:10.1038/s41598-017-12757-x
pmid:28970545
pmcid:PMC5624899
fatcat:xgprartvdvgalodrentbh7k3ue
POnline: An Online Pupil Annotation Tool Employing Crowd-sourcing and Engagement Mechanisms
2019
Human Computation
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In addition, reliability of manual annotations is hard to establish with a low number of annotators. ...
crowd power to create reliable annotations \cite{artstein2005bias}. ...
This paper proposes a novel solution to the problem of pupil annotation by the implementation and evaluation of an online system that allows the crowdsourcing of the annotation data. ...
doi:10.15346/hc.v6i1.99
fatcat:yyf7jku3pnfdpgbchqb2ilusjm
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