Posted on 2021-03-24 - 18:19 authored by Charlie Tweed
Fiction Machines is a multi-component output comprising a body of video art works, a journal article, a curated symposium and a journal special issue. The research considers how media art works can be developed that expose, rewrite and critique the mechanisms of contemporary control technologies from informational and affective perspectives.
Secondly, how re-appropriation can be used to harness source material drawn from the operations of these technologies? Thirdly how can the works themselves become self-reflexive machines, performing affective control on the viewer, whilst also exposing their artifice? Fourthly, how can similar research approaches that harness fiction to rethink technologies can be interrogated and brought into view?
Evidenced in the collection are three full video art works, a selection of still images from the video art works, and contextualising information in the form of a 300 word statement, research timeline, and research questions.
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DataCiteDataCite
3 Biotech3 Biotech
3D Printing in Medicine3D Printing in Medicine
3D Research3D Research
3D-Printed Materials and Systems3D-Printed Materials and Systems
4OR4OR
AAPG BulletinAAPG Bulletin
AAPS OpenAAPS Open
AAPS PharmSciTechAAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität HamburgAbhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)ABI Technik (German)
Academic MedicineAcademic Medicine
Academic PediatricsAcademic Pediatrics
Academic PsychiatryAcademic Psychiatry
Academic QuestionsAcademic Questions
Academy of Management DiscoveriesAcademy of Management Discoveries
Academy of Management JournalAcademy of Management Journal
Academy of Management Learning and EducationAcademy of Management Learning and Education
Academy of Management PerspectivesAcademy of Management Perspectives
Academy of Management ProceedingsAcademy of Management Proceedings
Academy of Management ReviewAcademy of Management Review
Tweed, Charlie (2021). Fiction Machines (2016-2020). BathSPAdata. Collection. https://doi.org/10.17870/bathspa.c.4936830.v1