The quasi-domestication of social chatbots
The case of Replika
Bibliographic Data
| ID | 6443473 |
|---|---|
| Authors | Gina Neff (0000-0001-9090-924X, Queen Mary University of London, UK; University of Cambridge, UK), P Nagy (0000-0003-0713-9403, Arizona State University) |
| Year | 2025 |
| Volume | 27 |
| Issue | 10 |
| Pages | 5508-5524 |
| Publication date | 2025-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | New Media & Society (JOURNAL) |
| Journal identifiers | ISSN: 1461-4448 • E-ISSN: 1461-7315 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/14614448251359218 |
| OpenAlex | W4414812353 |
| Language | EN |
| Citations received | 4 |
| References cited | 42 |
In this paper, we turn to the domestication theory to study what strategies users develop to appropriate social chatbots – dynamic algorithmic tools mimicking human interactions via large language models and scripted dialogue content. As an example, we use the case of Replika, a popular but controversial social chatbot designed to serve as companions, friends, and even romantic partners for millions of people. In 2023, Replika underwent a series of major fixes and algorithmic updates leading to significant changes in how it responds to users. Through analyzing posts from a popular Reddit community dedicated to Replika, we showcase that users developed various re-domestication strategies to come to terms with these changes. Our study illustrates that Replika should be understood as a quasi-domesticated object that constantly requires users to find new ways to re-integrate it into their lives. We conclude the paper by highlighting how our findings can inform communication research
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| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |