Gould, SJJ;
Wiseman, S;
Furniss, D;
Iacovides, I;
Jennett, CI;
Cox, AL;
(2014)
MOODs: Building massive open online diaries for researchers, teachers and contributors.
In: Jones, M and Palanque, P and Schmidt, A and Grossman, T, (eds.)
CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems.
(pp. 2281 - 2286).
Association for Computing Machinery (ACM): New York, NY, United States.
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Abstract
Internet-based research conducted in partnership with paid crowdworkers and volunteer citizen scientists is an increasingly common method for collecting data from large, diverse populations. We wanted to leverage web-based citizen science to gain insights into phenomena that are part of people's everyday lives. To do this, we developed the concept of a Massive Open Online Diary (MOOD). A MOOD is a tool for capturing, storing and presenting short updates from multiple contributors on a particular topic. These updates are aggregated into public corpora that can be viewed, analysed and shared. MOODs offer a novel method for crowdsourcing diary-like data in a way that provides value for researchers, teachers and contributors. MOODs also come with unique community-building and ethical challenges. We describe the benefits and challenges of MOODs in relation to Errordiary.org, a MOOD we created to aid our exploration of human error.
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