Skip to main content

Ghostly Encounters on Google: Spirit Photography, Reverse Image Search and Urban Critique in Baltimore

In 1866, Alfred Russell Wallace proclaimed a “new branch of anthropology” premised on the Spiritualist movement that was then exploding in popularity in England. For Wallace, that anthropology would revolve around a growing body of highly disputed evidence of life after death. While séances were one major site for the evidence of spirits, other technologies were also important to the new religion, including spirit photography, where ghostly figures or more amorphous, ectoplasmic emanations would appear in photographs next to (living) humans sitting for their portraits. Although these photographs brought solace to those missing their loved ones, they were also windows onto a future utopia; after all, the afterlife was a place where humans would continue to grow and develop into more perfect beings, beings who had come back to help guide their still living compatriots. While these photos appear to us today to be clumsy double exposures, they suggest—along with their twentieth-century counterparts in Dadaist montage—a source of social critique. And, indeed, Spiritualism was readily embraced by social progressives of the day for just these reasons. Interpellating other images onto a photograph both breaks the illusion of objectivity in realist photography which is grounded in the indexicality of the photograph (first discussed by Charles Saunders Peirce) (Peirce 1894: 4). In so doing, spirit photography anticipates the challenges digitization, manipulation and algorithmically generated images raise to the indexical truth-value of the image.1 In this essay, I extend Wallace’s “new anthropology” to urban applications of reverse image search, where search engines apply a combination of indexed images, neural networks and machine learning in order to identify the same or similar images across huge databases. Although mostly utilized for locating copyright infringement, uncovering catfishing or identifying locations, reverse image search also suggests a series of alternative “spirits” to photos of urban spaces. In Baltimore, where my research has concentrated on issues of urban gentrification and abandonment, reverse image searches of Baltimore’s spaces reveal other possibilities—alternatives to urban divestment. For example, a search based on a photo of a boarded-up block of stores in West Baltimore generates images of bustling mercantile districts in cities all over the world. Each of these images, in turn, is an argument against the neoliberal algebra that has laid waste to cities and compounded poverty and segregation. By overlaying images of Baltimore streets and facades with these ghosts of other urban possibilities, I attempt to summon an anthropology of critical future possibilities. In so doing, I identify another role for digital technologies: one that conjures absent possibilities into urban presents through regimes of Big Data that would otherwise be used for surveillance. The end of the essay finds me revisiting Wallace’s “new branch of anthropology,” not to revive his call for the study of ghosts, but for our work to include spirits of the future in our critiques of present inequality.
Just published in Semiotic Review

Comments

Popular posts from this blog

Networked, Not Virtual: ethnography when you can't go there

(from our storymap ) In my capacity as a fellow in our faculty research center, I've been doing a lot of support work for the unexpected shift to learning-at-a-distance.  At my uni, very few of us have experience teaching online.  The faculty (generally) aren't especially enthusiastic, and there hasn't really been a lot of institutional support.  So, I wasn't surprised when most of the questions I was fielding took the form of: "I do X in my class.  How can I do X online?"  Not surprised because that's the ideological frame distance education has relied upon: an exact homology between offline- and online teaching, with the physical classroom replaced by the discussion board, the lectures by videos.  But actual online courses (not our band aid efforts to stitch together something in a few days) are structured very differently than their physical counterparts.  The best classes maximize their digital affordances and don’t try to simply "reprodu...

SETI: Signs in space/ Enacting space

[From the SETI project, "A Sign in Space" ( https://asignin.space/ )]  “To interpret is to impoverish, to deplete the world — in order to set up a shadow world of ‘meanings,’ Susan Sontag, Against Interpretation  In May, the SETI Institute Artist-in-Residence initiated a piece of collaborative performance–the decoding of an “alien” message, transmitted from the European Space Agency's ExoMars Trace Gas Orbiter (TGO). “A Sign in Space” is a simulation that enlists ordinary people in the work of “decoding” an alien message–one that you can download yourself. Along the way, SETI has hosted a series of workshops (including one from anthropologist Willi Lempert ) designed to help participants through the decoding process–including hints on avoiding ethnocentric (and anthropocentric) assumptions about what this communication could be and what the intentions of extraterrestrial intelligence might entail.  I am a very enthusiastic SETI advocate, but I wonder if “decoding” is re...

Turing Tests and ChatGPT’s Sleight of Hand

  One of the many benchmarks for AI is the “Turing test,” Alan Turing’s adaptation of the “imitation game” where an interrogator must decide which of two respondents is a computer. It is, as many have pointed out, a strangely indirect test, one that depends on the credulity of the human interrogator and the capacity of the machine to deceive (Wooldridge 2020). Will they believe the computer? And will the computer be a good enough liar? As Pantsar (2025) comments, “For the machine to pass the test, it needs to impersonate a human successfully enough to fool the interrogator. But this is puzzling in the wide context of intelligence ascriptions. Why would intelligence be connected to a form of deception?”   On the one hand, measuring AI through its deceptive power has the benefit of avoiding the idiocy of attempting to establish a measure of intelligence, a task deeply imbricated in racial eugenics (Bender and Hanna 2025; Wooldridge 2020). On the other, generative AI applicat...