
Michael FeldmanUniversity of Zurich | UZH · Department of Informatics - IFI
Michael Feldman
PhD student
About
14
Publications
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172
Citations
Introduction
Additional affiliations
August 2011 - September 2013
Education
October 2007 - September 2013
Publications
Publications (14)
In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists' gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instanc...
Knowledge bases are becoming a key asset leveraged for various types of applications on the Web, from search engines presenting ‘entity cards’ as the result of a query, to the use of structured data of knowledge bases to empower virtual personal assistants. Wikidata is an open general-interest knowledge base that is collaboratively developed and ma...
The last years have witnessed an increasing shortage of data experts capable of analyzing the omnipresent data and producing meaningful insights. Furthermore, some data scientists mention data preprocessing to take up to 80% of the whole project time. This paper proposes a method for collaborative data analysis that involves a crowd without data an...
The last years have witnessed an increasing shortage of data experts capable of analyzing the omnipresent data and producing meaningful insights. Furthermore, some data scientists mention data preprocessing to take up to 80% of the whole project time. This paper proposes a method for collaborative data analysis that involves a crowd without data an...
The development of Internet-based ecosystem has led to the emergence of alternative recruitment models which are exclusively facilitated through the internet. With Online Labor Markets (OLMs) and Crowdsourcing platforms it is possible to hire individuals online to conduct tasks and projects of different size and complexity. Crowdsourcing platforms...
Researchers, governments, and funding agencies are calling on research disciplines to embrace open data - data that is publicly accessible and usable beyond the original authors. The premise is that research efforts can draw and generate several benefits from open data, as such data might provide further insight, enabling the replication and extens...
The data-driven economy has led to a significant shortage of data scientists. To address this shortage, this study explores the prospects of outsourcing data analysis tasks to freelancers available on online labor markets (OLMs) by identifying the essential factors for this endeavor. Specifically, we explore the skills required from freelancers, co...
Appropriate task routing and assignment is an important, but often overlooked, element in crowdsourcing research and practice. In this paper, we explore and evaluate a mechanism that can enable matching crowdsourcing tasks to suitable crowd-workers based on their cognitive abilities. We measure participants' visual and fluency cognitive abilities w...
Decision-making is often supported by decision models. This study suggests that the negative impact of poor data quality (DQ) on decision making is often mediated by biased model estimation. To highlight this perspective, we develop an analytical framework that links three quality levels – data, model, and decision. The general framework is first d...
In recent years the rising popularity of outsourcing work to crowds has led to increasing importance to find an effective assignment of suitable workers with tasks. Even though attempts have been made in related areas such as expertise identification most crowdsocuring jobs today are assigned without any predefined policy. Whilst some have investig...
Quality assurance in crowdsourcing markets has appeared to be an acute problem over the last years. We propose a quality control method inspired by Statistical Process Control (SPC), commonly used to control output quality in production pro-cesses and characterized by relying on time-series data. Behavioral traces of users may play a key role in ev...
Newspaper archives are some of the richest historical doc-ument collections. Their study is, however, very tedious: one needs to physically visit the archives, search through reams of old, very fragile pa-per, and manually assemble cross-references. We present Shax, a visual newspaper-archive exploration tool that takes large, historical archives a...
The field of data quality management has long recognized the negative impact of data quality defects on decision quality. In many decision scenarios, this negative impact can be largely attributed to the mediating role played by decision-support models -with defected data, the estimation of such a model becomes less reliable and, as a result, the l...