Preserving worker privacy in crowdsourcing

Kajino, Hiroshi; Arai, Hiromi; Kashima, Hisashi

doi:10.1007/s10618-014-0352-3

Cited by 32 publications

(13 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [34], the authors focused on a privacy problem related with task instances in crowdsourcing. Next, the authors in [35] focus on privacy issues related with workers in crowdsourcing environments and they propose a crowdsourcing quality control method in order to estimate reliable provided results from low-quality ones.…”

Section: State Of the Artmentioning

confidence: 99%

Preserving Digital Privacy in e-Participation Environments: Towards GDPR Compliance

et al. 2020

View full text Add to dashboard Cite

The application of the General Data Protection Regulation (GDPR) 2016/679/EC, the Regulation for the protection of personal data, is a challenge and must be seen as an opportunity for the redesign of the systems that are being used for the processing of personal data. An unexplored area where systems are being used to collect and process personal data are the e-Participation environment. The latest generations of such environments refer to sociotechnical systems based on the exploitation of the increasing use of Social Media, by using them as valuable tools, able to provide answers and decision support in public policy formulation. This work explores the privacy requirements that GDPR imposes in such environments, contributing to the identification of challenges that e-Participation approaches have to deal with, with regard to privacy protection.

show abstract

Section: State Of the Artmentioning

confidence: 99%

Preserving Digital Privacy in e-Participation Environments: Towards GDPR Compliance

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Originally, the evaluation of crowd members' output was done by humans; more recent work has shifted toward the use of advanced forms of artificial intelligence (AI). These approaches vary from relatively simple to more complex and are designed to better predict and evaluate worker outputs (e.g., Kajino et al 2014).…”

Section: Control Typementioning

confidence: 99%

Crowdsourcing Controls: A Review and Research Agenda for Crowdsourcing Controls Used for Macro-tasks

Robert

2019

Human–Computer Interaction Series

View full text Add to dashboard Cite

Crowdsourcing-the employment of ad hoc online labor to perform various tasks-has become a popular outsourcing vehicle. Our current approach to crowdsourcing-focusing on micro-tasks-fails to leverage the potential of crowds to tackle more complex problems. To leverage crowds to tackle more complex macrotasks requires a better comprehension of crowdsourcing controls. Crowdsourcing controls are mechanisms used to align crowd workers' actions with predefined standards to achieve a set of goals and objectives. Unfortunately, we know very little about the topic of crowdsourcing controls directed at accomplishing complex macrotasks. To address issues associated with crowdsourcing controls for macro-tasks, this chapter has several objectives. First, it presents and discusses the literature on control theory. Second, this chapter presents a scoping literature review of crowdsourcing controls. Finally, the chapter identifies gaps and puts forth a research agenda to address these shortcomings. The research agenda focuses on understanding how to employ the controls needed to perform macro-tasking in crowds and the implications for crowdsourcing system designers. 3.1 Introduction Crowdsourcing-the employment of ad hoc online labor to perform various tasks-has become a popular outsourcing vehicle. Digital platforms like Mechanical Turk (http://www.mturk.com), CrowdFlower (http://www.crowdflower.com), MobileWorks (http://www.mobileworks.com), and Crowdcrafting (http://crowdcrafting.org) are in part responsible for the emergence and popularity of crowdsourcing. These popular platforms have been dominated by micro-tasks-standalone decomposed tasks (Schmitz and Lykourentzou 2018). This arrangement-microtasking through digital platforms-has been successful at providing organizations with access to affordable labor available 24 h a day (Ye et al. 2017).

show abstract

“…The literature is rich of technology solutions to manage trust, security and privacy. Regarding privacy enforcement, we may in particular leverage the solutions dedicated to crowdsourcing, e.g., [52], [53]. We will thus integrate state of the art solutions to trust, security and privacy within the social middleware.…”

Section: Trust Security and Privacymentioning

confidence: 99%

Social Middleware for Civic Engagement

Angarita

Georgantas

Issarny

2019

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

View full text Add to dashboard Cite

Civic engagement refers to any collective action towards the identification and solving of public issues. Current civic technologies are traditional Web-or mobile-based platforms that make difficult, or just impossible, the participation of citizens via different communication technologies. Moreover, connected objects sensing physical-world data can nourish participatory processes by providing physical evidence to citizens; however, leveraging these data is not direct and still a time-consuming process for civic technologies developers. This paper introduces the concept of social middleware for civic engagement. Social middleware allows citizens to engage in participatory processessupported by civic technologies-via their favorite communication tools, and to interact not only with other citizens but also with relevant connected objects and software platforms. The mission of social middleware goes beyond the connection of all these heterogeneous entities. It aims at easing the implementation of distributed applications oriented toward civic engagement by featuring dedicated built-in services.

show abstract

Preserving worker privacy in crowdsourcing

Cited by 32 publications

References 12 publications

Preserving Digital Privacy in e-Participation Environments: Towards GDPR Compliance

Preserving Digital Privacy in e-Participation Environments: Towards GDPR Compliance

Crowdsourcing Controls: A Review and Research Agenda for Crowdsourcing Controls Used for Macro-tasks

Social Middleware for Civic Engagement

Contact Info

Product

Resources

About