• Corpus ID: 9342446

Series Human Cloud as Emerging Internet Application-Anatomy of the Microworkers Crowdsourcing Platform

  title={Series Human Cloud as Emerging Internet Application-Anatomy of the Microworkers Crowdsourcing Platform},
  author={Matthias Hirth and Tobias Hossfeld and Phuoc Tran-Gia},
Since Jeff Howe introduced the term ”crowdsourcing” in 2006 for the first time, crowdsourcing has be come a growing market in the current Internet. Thousands of workers categorize images, write articles or perform other small tasks on platforms like Amazon Mechanical Turk (MTurk), Microworkers or ShortTask. In this paper, we want to give an inside view of Microworkers and show that there are significant differences to the well studied MTurk. Further, we have a look at Microworkers from the… 
A profile-aware microtasking approach for improving task assignment in crowdsourcing services
The design and evaluation of a conceptual approach that could be implemented in microtasking environments for purposes of improving task assignments and eventually quality are explored.
Exploring Microtask Crowdsourcing as a Means of Fault Localization
The findings show that a crowd can correctly distinguish questions that cover lines of code that contain a fault from those that do not, and various filters can be applied to identify the most effective subcrowds.
Prioritizing Critical Challenges for the Quality of Crowdsource Software Products
Investigations reflect that security, the privacy of data and lack of interaction between crowd and client have emerged as a most critical challenge in order to ensure the quality of crowdsourcing software product.
Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics
This study is the first large-scale country-level analysis of the characteristics of workers on the platform Figure Eight (formerly CrowdFlower), one of the two platforms dominating the micro-task market.
Influence of image features on face portraits social context interpretation: experimental methods, crowdsourcing based studies and models. (Influence des caractéristiques des images de portrait sur l'interprétation de leurcontexte social: méthodologie expérimentale, évaluation par crowdsourcing etmo
This thesis focuses on which elements inside a profile picture modify the perception of the context that best suits the picture itself and modelled the social context with image features, to understand and quantify the influence of each feature.
Would you hire me? Selfie portrait images perception in a recruitment context
The aim of this paper is to analyse social biases’ impact on multimedia aesthetics evaluation and how this bias influences messages that go along with pictures, as in public online platforms and social networks.
The potential benefits of mobile microwork services in developing nations: Research opportunities and challenges
Unemployment is one of the main hindrances to socio-economic development in developing nations. At the same time, the prominent adoption and use of digital technologies, especially mobile devices
Mapping Grassroots: Geodata and the structure of community-led open environmental science
Grassroots Mapping, an early project of the Public Laboratory for Open Technology and Science, began in 2010 in Lima, Peru. Using balloons and kites to launch cameras as “community satellites”,
Assessing the Role of Social Media and Digital Technology in Violence Reporting
The use of social media and digital technologies has radically changed the way that information about violence is captured, reported, analysed and acted upon. People’s use of social media played a


Who are the crowdworkers?: shifting demographics in mechanical turk
How the worker population has changed over time is described, shifting from a primarily moderate-income, U.S. based workforce towards an increasingly international group with a significant population of young, well-educated Indian workers.
Cheat-Detection Mechanisms for Crowdsourcing
Two crowd- based approaches to detect cheating workers are presented and both are evaluated with regard to their detection quality, their costs and their applicability to different types of typical crowdsourcing tasks.
Who are the Turkers? Worker Demographics in Amazon Mechanical Turk
Amazon Mechanical Turk (MTurk) is a crowdsourcing system in which tasks are distributed to a population of thousands of anonymous workers for completion. This system is becoming increasingly popular
Analyzing the Amazon Mechanical Turk marketplace
An associate professor at New York Universitys Stern School of Business uncovers answers about who are the employers in paid crowdsourcing, what tasks they post, and how much they pay.
The decentralized participatory architecture of the Internet challenges traditional knowledge authorities and hierarchies. Questions arise about whether lay inclusion helps to ‘democratize’ knowledge
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  • InnoCentive
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  • ShortTask
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