More or less than human? Evaluating the role of AI-as-participant in online qualitative research
Datos Bibliográficos
| ID | 12733227 |
|---|---|
| Autores | Alexandra Gibson (0000-0002-9976-964X, Victoria University of Wellington, autor de correspondencia), A Beattie (0000-0001-8537-7672, Victoria University of Wellington) |
| Año | 2024 |
| Volumen | 21 |
| Número | 2 |
| Páginas | 175-199 |
| Fecha de publicación | 2024-02-05 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Qualitative Research in Psychology (JOURNAL) |
| Identificadores de la revista | ISSN: 1478-0887 • E-ISSN: 1478-0895 |
| Editorial | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/14780887.2024.2311427 |
| OpenAlex | W4391542643 |
| Idioma | EN |
| Citas recibidas | 12 |
| Referencias citadas | 32 |
Artificial intelligence (AI) has an increasing presence in scholarship, posing new challenges and opportunities for qualitative researchers. Generative AI, such as Chat-GPT, can supposedly produce humanlike responses, which has implications for online qualitative research, which relies on human participation. In this paper, we contribute to debates about AI as a research participant ('AI-as-participant') and the threat of imposter participation in qualitative research. We share our unexpected encounter with AI during our story completion study on mobile dating during the COVID-19 pandemic and discuss how we identified AI responses within our dataset. Central to our analysis was our theoretical grounding of feminist new materialism, which attuned us to the affective and discursive qualities of our participant data. Using our theoretical lens, in tandem with other strategies, we examined the affective forces that signalled stark differences between previous, human-generated data and that of the current study. Analysing the discursive construction of narratives further alerted us to the absence of humans within our data. We conclude that AI cannot sufficiently replicate affect or capture the richness of human experience that is central to qualitative research, and offer recommendations for future researchers to anticipate and check for AI as an unwelcome research participant
Epistemology · Participant observation · Qualitative research · Social science · Sociology · Focus Groups and Qualitative Methods · Philosophy · Psychology · Qualitative Research Methods and Applications · Qualitative Research Methods and Ethics
AI contributions to participant psychological wellbeing and agency
Artificial-Intelligence-Mediated Contamination in Online Research
AI-Supported Participatory Workshops
Navigating the Rise of Artificial Intelligence and Imposter Participants in Qualitative Health Research
Authenticity in Question
Enhancing qualitative inquiry
Artificial Intelligence in Qualitative Research
The AI-Reflexivity Checklist (ARC)
It might be able to produce a text, but it’s not able to produce knowledge
Scammer Participants and AI-Assisted Interviews in Qualitative Health Research
Generative Artificial Intelligence and the Craft of Qualitative Health Research
Do You Know Who You're Talking To? Methodological Reflections on Maintaining Inclusivity and Research Integrity When Responding to Inauthentic Encounters in Online Qualitative Research
Adapting research methodology during Covid-19
Can AI language models replace human participants?
Using cognitive psychology to understand GPT-3
Detecting, Preventing, and Responding to “Fraudsters” in Internet Research
Fighting Covid-19 with the team of 5 million
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the Covid-19 pandemic response
Ensuring survey research data integrity in the era of internet bots
‘Take ownership of your condition’
‘Imposter participants’ in online qualitative research, a new and increasing threat to data integrity
Fickle focus
Qualitative story completion
Australian women’s use of health and fitness apps and wearable devices
Risk and emotion
Internet Recruitment and E-Mail Interviews in Qualitative Studies
The more-than-human sensorium
Toward a More-Than-Human Analysis of Digital Health
Beyond the challenge to research integrity
Me and the Machines
The New Materialism and Sexual Difference
| Obras citantes distintas | 12 |
|---|---|
| Citas por año | 12 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 11 |