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Selecting Workers Wisely for Crowdsourcing When Copiers and Domain Experts Co-exist
2022
Future Internet
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We designed a crowdsourcing system called SWWC composed of a task assignment stage and a truth discovery stage. ...
Based on this measurement and prior task domain knowledge, we calculated fine-grained worker credibility on each given task. ...
Acknowledgments: We are grateful for the server provided by Donghua University to assist us in running the experiment and obtaining the experimental data and results in a short time. ...
doi:10.3390/fi14020037
fatcat:5gtjn3z25fhflbnf4qm2zgp5bu
Geotagging: Systematic Anatomization and Conceptual Model for POI Verification
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Therefore, a framework is required to expedite the tagging and authentication process of the tagged data in an efficient manner to exploit the power of POI data. ...
Hence, it's a need of hour to enrich the unique Indian GIS portal "Bhuvan" with Point of Interest (POI) data where one can find all necessary information. ...
Multi-source information trustworthiness analysis framework and fine-grained truth discovery model were proposed to find the truth in crowdsourced generated data [26, 27] . ...
doi:10.35940/ijitee.k7820.0991120
fatcat:twxah67m2vdldaweyqtrgvnh4a
FaitCrowd
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
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To capture various expertise levels on different topics, we propose FaitCrowd, a fine grained truth discovery model for the task of aggregating conflicting data collected from multiple users/sources. ...
In crowdsourced data aggregation task, there exist conflicts in the answers provided by large numbers of sources on the same set of questions. ...
Figure 1 shows the proposed fine grained truth discovery model for crowdsourced data aggregation. ...
doi:10.1145/2783258.2783314
dblp:conf/kdd/MaLLQGZSZJH15
fatcat:vm2d6l4am5h7xedinlgendhhzm
A Survey on Truth Discovery
[article]
2015
arXiv
pre-print
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We hope that this survey will promote a better understanding of the current progress on truth discovery, and offer some guidelines on how to apply these approaches in application domains. ...
Thanks to information explosion, data for the objects of interest can be collected from increasingly more sources. ...
Recently, a series of approaches [5, 26, 60, [66] [67] [68] [69] have adopted truth discovery to improve the aggregation quality of such noisy sensing data. • Crowdsourcing aggregation. ...
arXiv:1505.02463v2
fatcat:sqvfxldfqjbtlexi5gqaldtgqq
Truth Inference with a Deep Clustering-based Aggregation Model
2020
IEEE Access
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Therefore, the proposed model is a novel approach for truth inference with object features. ...
DCAM introduces clustering for object features to form fine-grained clusters, where objects in the same cluster are supposed to have similar labels. ...
INTRODUCTION Truth inference aims at inferring true labels or objective opinions from different sources, which is also known as truth discovery or label aggregation for crowdsourcing tasks [25] , [49 ...
doi:10.1109/access.2020.2964484
fatcat:fismxfy6avhsllrufd4xddvofe
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
[article]
2020
arXiv
pre-print
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In this paper, we follow a different approach and rely on (non-expert) crowd workers. ...
This of course leads to the following research question: Can crowdsourcing be reliably used to assess the truthfulness of information and to create large-scale labeled collections for information credibility ...
We can observe a higher failure and lower completion rate for S 100 . This may show a slight lack of comfort for workers in using the most fine-grained scale. ...
arXiv:2005.06915v1
fatcat:u3utoxzp5ncx3f5dvrvk2zsfy4
A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing
2018
IEEE Internet of Things Journal
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., smart phones and wearable devices), Mobile Crowdsourcing (MCS) has emerged as an effective method for data collection and processing. ...
This paper provides a survey of these challenges and discusses potential solutions. ...
Ye et al. proposed a context-aware fine-grained access control scheme for the data stored in mobile devices [91] . ...
doi:10.1109/jiot.2017.2765699
fatcat:eapkruonuzh6hhzppoumnonlhq
Teddy: A System for Interactive Review Analysis
[article]
2020
arXiv
pre-print
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Results suggest data scientists need interactive systems for many review analysis tasks. ...
Today, data scientists analyze reviews by developing rules and models to extract, aggregate, and understand information embedded in the review text. ...
ACKNOWLEDGMENTS We thank our study participants for their time and insights. We also thank Eser Kandogan for his feedback on an earlier draft of this paper. ...
arXiv:2001.05171v1
fatcat:2l5fnifhlneqjkbmhpoivwrjqm
Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey
2019
IEEE Access
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This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. ...
Crowdsourced business intelligence (CrowdBI), which leverages the crowdsourced usergenerated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment ...
FINE-GRAINED DATA COLLECTION There are numerous issues regarding data collection from different data sources.
1) PERVASIVE SENSING For fine-grained human offline shopping behavior sensing, there are ...
doi:10.1109/access.2019.2901027
fatcat:a5vz6vl7urckpdsreplkvjalea
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
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Schema-Flexible RDBMS [Search] A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Waguih, Dalia Attia 1440 AllegatorTrack: Combining and Reporting Results of Truth Discovery from Multi-Source Data Wang ...
Detection
Li, Xiaoli
831
Network Motif Discovery: A GPU Approach
1452
CDR-To-MoVis: Developing a Mobility Visualization System from CDR Data
Li, Xin
1436
MARS: A Multi-Aspect Recommender ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
Quality of Information in Mobile Crowdsensing
2017
ACM transactions on sensor networks
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For a survey on mobile crowdsensing applications, we refer the reader to [92] . ...
In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. ...
ACKNOWLEDGEMENT We would like to thank the anonymous reviewers for their valuable comments, which helped us improve the quality of the paper. ...
doi:10.1145/3139256
fatcat:hgq6lcwmofhy3gpq4auqxuhggu
Smartphone-based crowdsourcing for network monitoring: Opportunities, challenges, and a case study
2014
IEEE Communications Magazine
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Our experience in building a smartphonebased crowdsourcing system, Portolan, is also included to provide a practical background to the discussion and to demonstrate the possible benefits. ...
This paper discusses the most significant opportunities offered by this approach, and the major challenges that have to be faced. ...
We believe that fine-grained information like this can be extremely valuable for telecom operators, as it would allow them a fine tuning of wireless access infrastructure. ...
doi:10.1109/mcom.2014.6710071
fatcat:pscn5gckfjgxllh4t5vtz3uvte
Fine-grained object recognition in underwater visual data
2015
Multimedia tools and applications
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Together with the fine-grained visual dataset release, we also present two approaches for fish species classification in, respectively, still images and videos. ...
In this paper we investigate the fine-grained object categorization problem of determining fish species in low-quality visual data (images and videos) recorded in real-life settings. ...
In order to provide a baseline for our fish species classification methods we tested 1) the VLfeat BoW [37] classification method (generally used as baseline for fine-grained recognition tasks [6] ) ...
doi:10.1007/s11042-015-2601-x
fatcat:hxf2xw6thzagfnrlti3qibfufq
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
[article]
2021
arXiv
pre-print
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Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a few experts, a crowd of non-expert is exploited ...
In our experiments, crowd workers are asked to assess the truthfulness of statements, and to provide evidence for the assessments. ...
Acknowledgements This work is partially supported by a Facebook Research award, by the Australian Research Council (DP190102141 and DE200100064), by a MISTI -MIT International Science and Technology Initiatives ...
arXiv:2107.11755v1
fatcat:pxyasrohpvdevcnbfx42utklfy
Crowdclustering
2011
Neural Information Processing Systems
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Amongst the challenges: (a) each worker has only a partial view of the data, (b) different workers may have different clustering criteria and may produce different numbers of categories, (c) the underlying ...
Is it possible to crowdsource categorization? ...
A similar approach was proposed by Welinder et al. [3] for the analysis of classification labels obtained from crowdsourcing services. ...
dblp:conf/nips/GomesWKP11
fatcat:tkicmfpnmvdkjeaqitjrcofs7i
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