This report is an investigation of the technological frames of Twitter users, regarding the phenomenon Artificial Intelligence. Tweets were collected as data and emotions were extracted through sentiment analysis. These emotions regarding AI were categorized using genre theory, more specifically Rob Klings (1994) genre conventions. This showed that the majority of Twitter users expressed positive feelings regarding AI, with trust, anticipation and joy as the most prominently displayed feelings. This is the leading technological frame of the users. Since our understanding of technology is created through socio-cognitive processes, this could have implications for AI. There is a risk of incongruencies between research into the phenomenon and the discussions on social media. Furthermore, light is shed on why this might be the case.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-159462 |
| Date | January 2019 |
| Creators | Hörnsten, Jessica, Lindgren, Niclas, Skidmore, Simon |
| Publisher | Umeå universitet, Institutionen för informatik, Umeå universitet, Institutionen för informatik, Umeå universitet, Institutionen för informatik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | Informatik Student Paper Bachelor (INFSPB) ; 2019.23 |
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