May be something, may be nothing.
I saw a news flash about the use of this technique to combine 41,000 observations to create a magnetic map of the Milky Way. Subject to a lot of noise and smoothing of the data.
Which made me think that perhaps, just perhaps this technique could be used across a semantic field?
From the webpage:
Information field theory (IFT) is information theory, the logic of reasoning under uncertainty, applied to fields. A field can be any quantity defined over some space, e.g. the air temperature over Europe, the magnetic field strength in the Milky Way, or the matter density in the Universe. IFT describes how data and knowledge can be used to infer field properties. Mathematically it is a statistical field theory and exploits many of the tools developed for such. Practically, it is a framework for signal processing and image reconstruction.
All the examples I found were in the physical sciences but I would check closely before claiming to be the first to use the technique in a social science context.