MOODs: Building massive open online diaries for researchers, teachers and contributors

Gould, Sandy J. J.; Furniss, Dominic J.; Jennett, Charlene I.; Wiseman, Sarah; Iacovides, Ioanna and Cox, Anna L. (2014). MOODs: Building massive open online diaries for researchers, teachers and contributors. In: CHI EA '14 Extended Abstracts of the 32nd annual ACM conference on Human factors in computing systems, ACM, New York, USA, pp. 2281–2286.



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, a MOOD we created to aid our exploration of human error.

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