Algorithms currently have direct implications in our democracies and societies, but they also define mostly all our daily activities as users, defining our decisions and promoting different behaviors. In this context, it is necessary to define and think about how to design the different implications that these algorithms have from a user centered perspective, particularly in social media platforms that have such relevance in our information sources and flow. Therefore, the current thesis provides an introduction to the concept of algorithmic experience, trying to study how to implement it for social media services in cellphone devices. Using a Research through Design methodology supported by interface analysis, document analysis and user design workshops, the present paper provides results grouped in five different areas: algorithmic profiling transparency, algorithmic profiling management, algorithmic awareness, algorithmic user-control and selective algorithmic remembering. These five areas provide a framework capable of promoting requirements and guide the evaluation of algorithmic experience in social media contexts.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-324605 |
| Date | January 2017 |
| Creators | Alvarado, Oscar |
| Publisher | Uppsala universitet, Institutionen för informatik och media |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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