Autistic Adults Online: Understanding and Enabling Autistic Sociality in Digital Networking Environments, 2020-2023

DOI

The proposed study aimed to provide a systematic linguistic and ethnographic analysis of how social networking sites (SNS) were used by autistic adults for social interaction. The overall objective of the study was to investigate how the opportunities for interaction and relationship building, as well as digital surveillance, on SNS, were shaping the experiences of autistic users. Furthermore, the study aimed to explore how understanding communicative practices within their social and technological contexts could contribute to the design of autism-friendly SNS environments. The collection consists of 27 interview transcripts, 1 information sheet that was distributed to participants at the start of the study, 1 interview consent form that was distributed prior to the interviews, 2 Interview Questions Guide which contains the interview questions that were asked (though note these were semi-structured interviews and not all questions will have been asked in every interview) and this user guide. The interviews were transcribed by a transcription service called TranscribeIt and the date of transcription is available on the opening page of each interview.The proposed study will provide a systematic linguistic and ethnographic analysis of how social networking sites/SNS are used by autistic adults for social interaction. The last few decades have witnessed a dramatic increase in the recorded prevalence of autism, with an estimated 1% of the adult population in the UK having an autism spectrum disorder. Most autism research, technology design, and service provision has focused on children and adults who cannot live independently, with little attention to how adults can be supported to succeed in work and social participation. The recognised importance of online networking in initiating and maintaining social connections has led to an increased focus on SNS as spaces of social engagement and social support provision. Our overall aim is to examine how the SNS-based opportunities for interaction and relationship building but also digital surveillance are shaping autistic user experiences, and how the understanding of communicative practices in their social and technological contexts can help design autism-friendly social networking environments. Specifically, the project will pursue the following objectives via four work packages: (1) observe online behaviour of a demographically diverse group of autistic Facebook and Twitter users; (2) conduct semi-structured interviews with these adults to examine both individual motives and social norms shaping their SNS interactions; (3) analyse the extent and the ways autistic SNS users align in online conversation threads; (4) in collaboration with autistic adults, synthesize findings from these analyses, identify the enabling and inhibiting factors emerging from SNS use, and examine the opportunities for software co-design. By drawing on advances in linguistic ethnography, disability studies, and human-computer interaction design we will be able examine the multi-dimensional and dynamic nature of autistic sociality in SNS. The results will inform a broader set of debates about the uses of SNS by socially isolated groups as well as provide empirical understanding of the contextual parameters that shape SNS interaction of autistic users. Such understanding is crucial for moving autism support beyond individualized, behaviour-based interventions and towards community and network-centred approaches.

Semi-structured interview with autistic participants about the use of Facebook and Twitter.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-856556
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=cf99256978b0e41d0573a2665a83779550bc461d76edd945821a337e39d10c9e
Provenance
Creator Koteyko, N, Queen Mary University of London
Publisher UK Data Service
Publication Year 2023
Funding Reference Economic and Social Research Council
Rights Nelya Koteyko, Queen Mary University of London; The Data Collection is available for download to users registered with the UK Data Service.
OpenAccess true
Representation
Resource Type Text
Discipline Social Sciences
Spatial Coverage United Kingdom; United Kingdom