{"@context":{"rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","rdfs":"http://www.w3.org/2000/01/rdf-schema#","owl":"http://www.w3.org/2002/07/owl#","foaf":"http://xmlns.com/foaf/0.1/","dc":"http://purl.org/dc/elements/1.1/","dct":"http://purl.org/dc/terms/","sioc":"http://rdfs.org/sioc/types#","blog":"http://vocab.amy.so/blog#","as":"https://www.w3.org/ns/activitystreams#","mf2":"http://microformats.org/profile/","ldp":"http://www.w3.org/ns/ldp#","solid":"http://www.w3.org/ns/solid#","view":"https://terms.rhiaro.co.uk/view#","asext":"https://terms.rhiaro.co.uk/as#","dbp":"http://dbpedia.org/property/","geo":"http://www.w3.org/2003/01/geo/wgs84_pos#","doap":"http://usefulinc.com/ns/doap#","time":"http://www.w3.org/2006/time#"},"@id":"https://rhiaro.co.uk/2013/02/computer-mediated","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-5498466149491463803","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"
I was fortunate enough to attend the Computer Mediated Social Sense-\r\nMaking workshop, conveniently situated\r\non the ground floor of the building I work in, on the 14th of February.
\r\nWhilst more technical than the Digital\r\nMethods\r\nconference I went to in December, the talks and panel sessions served to build\r\nupon things I started to think about then. Namely, beginning to situate my\r\nresearch interests amongst many concepts from the currently quite alien fields\r\nof sociology and anthropology.
\r\nThe talks were varied, and key themes that emerged were the collection/use of\r\ndata for social improvement (health and wellbeing, teaching and learning,\r\ndisaster recovery), and the importance of context in making collected data\r\ngenuinely useful. A notable challenge is that one piece of data might have a\r\nthousand different contexts from the perspectives of a thousand different\r\nhuman beings. So how to communicate these variations to software that\r\nprocesses this data, and perhaps makes decisions using it?
\r\nPerhaps not to worry too much about that at all. Process things locally\r\ninstead of globally, using local contexts and understandings, but make sure\r\neverything is annotated such that information can still be exchanged across\r\nthe whole network, and differences in understanding can be accounted for or\r\nreasoned out if a need occurs.
\r\nFor the record, I'm looking at how Semantic Web technologies could be used to\r\nbetter connect human and machine in the context of amateur digital content\r\ncreation (movies, comics, music, art), including how semantically annotating\r\ncreative (often collaborative) processes as well as the end products of\r\nthese processes and the engagement of an audience with these products, could\r\nimprove the overall experience of creating content (along a number of\r\ndimensions). A massive part of this will be creating tools that actually\r\ncollect the necessary data from users. Ultimately, these tools will need to\r\nbe invisible, ie. easily integrated into existing online routines, with no\r\neffort required to use them for the non-technically minded so that a network\r\neffect can take place.
\r\nIncentives for crowdsourcing came up during CMSSM, and someone pointed out\r\nthat by gamifying data collection for research projects, incentives become the\r\nsame as ones offered by gambling companies; something competitive and\r\npotentially addictive. I think things like global systems of reputation and\r\ntrust are useful on a network where people are to share data about their own\r\nwork (or opinions of the work of others) and may be nurturing a desire for\r\npopularity or exposure on the network (a network where the people are\r\ncentral, because the data could not exist without them, but where the users\r\nand the data are simultaneously co-dependant).
\r\nAnyway, I'm still brainstorming.
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