Actor-Network Theory (ANT) 行動者網路理論 ANT
Released已發布Apply Actor-Network Theory (Latour, Callon) to trace how human and non-human actors (actants) form networks through translation processes. Use this skill when the user needs to map sociotechnical assemblages, analyze how innovations stabilize or fail through network-building, trace the four moments of translation (problematization, interessement, enrollment, mobilization), or when they ask 'how did this technology become accepted', 'who and what holds this network together', or 'why did this innovation fail to gain traction'.
學術研究技能：Actor-Network Theory (ANT) 分析與應用。
Overview概述
Actor-Network Theory treats human and non-human entities symmetrically as "actants" that form networks through processes of translation. Developed by Latour, Callon, and Law, ANT traces how heterogeneous networks are assembled, stabilized, and sometimes dissolved — rejecting the a priori distinction between the social and the technical.
When to Use使用時機
- Mapping how a technology, innovation, or practice became accepted (or failed)
- Analyzing the role of artifacts, standards, or devices in stabilizing social arrangements
- Tracing controversy and network-building in science and technology
- Understanding why a seemingly good innovation failed to gain adoption
When NOT to Use不適用時機
- When the analysis requires strong normative judgments (ANT is descriptive, not prescriptive)
- When macro-level structural explanations are needed (ANT resists pre-given social categories)
- When non-human agency is irrelevant to the research question
Assumptions前提假設
IRON LAW: Non-human actors have AGENCY in ANT — treating technology
as a passive tool violates the framework's core principle. If your
analysis strips agency from artifacts, you are NOT doing ANT.
Key assumptions:
- Generalized symmetry — human and non-human actors are described in the same analytical terms
- No a priori distinctions between the social, technical, and natural
- Networks are the unit of analysis, not individuals or structures
- Stability is an achievement, not a given — networks require continuous maintenance
Framework 框架
Step 1: Identify the Controversy or Innovation
Select the phenomenon to trace. Follow the actors — do not impose pre-existing categories.
Step 2: Map the Actants
List all relevant human and non-human actors (people, organizations, technologies, documents, standards, natural entities) involved in the network.
Step 3: Trace the Four Moments of Translation (Callon, 1986)
| Moment | Description |
|---|---|
| Problematization | A focal actor defines the problem and positions itself as an obligatory passage point |
| Interessement | Devices and strategies lock other actors into proposed roles |
| Enrollment | Actors accept and perform their assigned roles in the network |
| Mobilization | Enrolled actors come to represent wider constituencies; the network stabilizes |
Step 4: Assess Network Stability
Evaluate whether the network holds, noting points of resistance, betrayal, or dissolution.
Output Format輸出格式
Gotchas注意事項
- Do NOT treat non-humans as mere "context" — they must have equal analytical weight
- ANT does not explain WHY networks form; it describes HOW they form
- Avoid "network" as metaphor — in ANT, networks are traced empirically, not assumed
- The researcher must "follow the actors" rather than impose categories from above
- ANT has been criticized for lacking normative power — pair with critical theory if evaluation is needed
- Black-boxing occurs when a network becomes so stable its internal workings become invisible
References參考資料
- Callon, M. (1986). Some elements of a sociology of translation. In J. Law (Ed.), Power, Action and Belief (pp. 196-233). Routledge.
- Latour, B. (2005). Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press.
- Law, J. (1992). Notes on the theory of the actor-network. Systems Practice, 5(4), 379-393.