Most Haunted and the Convergence of Traditional Belief and Popular Television.

LivingTV's flagship series, Most Haunted, has been haunting the satellite network since 2002. The set-up of the series is straightforward: a team of investigators, including a historian, a parapsychologist, and "spiritualist medium" Derek Acorah, "legend-trip," spending the night at some location within the United Kingdom that is reputed to be haunted, with the hopes of catching on video concrete proof of the existence of ghosts. However, unlike other reality television or true-life supernatural television shows, Most Haunted includes and addresses the audience less as a spectator and more as an active participant in the ghost hunt. Watching Most Haunted, we are directed not so much to accept or reject the evidence provided, as to engage in the debate over the evidence's veracity. Like legend-telling in its oral form, belief in or rejection of the truth-claims of the story are less central than the possibility of the narrative's truth - a position that invites debates about those truth-claims. This paper argues that Most Haunted, in its premise and structure, not only depicts or represents legend texts (here ghost stories), but engages the audience in the debates about the status of its truth-claims, thereby bringing this mass-mediated popular culture text closer to the folkloristic, legend-telling dynamic than other similar shows.

The Accuracy and Reliability of Traditional Surface Flow Type Mapping: Is It Time for A New Method of Characterising Physical River Habitat?

Surface flow types (SFT) are advocated as ecologically relevant hydraulic units, often mapped visually from the bankside to characterise rapidly the physical habitat of rivers. SFT mapping is simple, non-invasive and cost-efficient. However, it is also qualitative, subjective and plagued by difficulties in recording accurately the spatial extent of SFT units. Quantitative validation of the underlying physical habitat parameters is often lacking, and does not consistently differentiate between SFTs. Here, we investigate explicitly the accuracy, reliability and statistical separability of traditionally mapped SFTs as indicators of physical habitat, using independent, hydraulic and topographic data collected during three surveys of a c. 50m reach of the River Arrow, Warwickshire, England. We also explore the potential of a novel remote sensing approach, comprising a small unmanned aerial system (sUAS) and Structure-from-Motion photogrammetry (SfM), as an alternative method of physical habitat characterisation. Our key findings indicate that SFT mapping accuracy is highly variable, with overall mapping accuracy not exceeding 74%. Results from analysis of similarity (ANOSIM) tests found that strong differences did not exist between all SFT pairs. This leads us to question the suitability of SFTs for characterising physical habitat for river science and management applications. In contrast, the sUAS-SfM approach provided high resolution, spatially continuous, spatially explicit, quantitative measurements of water depth and point cloud roughness at the microscale (spatial scales ≤1m). Such data are acquired rapidly, inexpensively, and provide new opportunities for examining the heterogeneity of physical habitat over a range of spatial and temporal scales. Whilst continued refinement of the sUAS-SfM approach is required, we propose that this method offers an opportunity to move away from broad, mesoscale classifications of physical habitat (spatial scales 10-100m), and towards continuous, quantitative measurements of the continuum of hydraulic and geomorphic conditions which actually exists at the microscale.