This paper focuses on the development and meaning of informal social control experiences when strangers intervene face-to-face in instances of child punishment in public. The central question is, in the absence of formal authority and institutional resources, how do strangers construe wrongful punishment, negotiate deviant import, and manage control outcomes? Thirty-seven interviews were conducted with people who intervened on at least one occasion, and seven more with witness-participants. Interviewees described the meanings, events, and circumstances surrounding 50 acts of face-to-face intervention. The analysis focuses on some of the micro-political forces, such as claim themes and audience norms, that shape control outcomes. The interpersonal predicament for interveners reflects the cultural tension created when approval of physical punishment is widespread, when distinctions between normal and deviant punishment are ambiguous, and when interaction rules for informal intervention are not institutionalized.
While aerial photography is associated with vertical objectivity and spatial abstractions, street-level imagery appears less political in its orientation to the particularities of place. I contest this assumption, showing how the aggregation of street-level imagery into “big datasets” allows for the algorithmic sorting of places by their street-level visual qualities. This occurs through an abstraction by “datafication,” inscribing new power geometries onto urban places through algorithmic linkages between visual environmental qualities, geographic information, and valuations of social worth and risk. Though largely missing from media studies of Google Street View, similar issues have been raised in critiques of criminological theories that use place as a proxy for risk. Comparing the Broken Windows theory of criminogenesis with big data applications of street-level imagery informs a critical media studies approach to Google Street View. The final section of this article suggests alternative theoretical orientations for algorithm design that avoid the pitfalls of essentialist equations of place with social character.
