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SUMMARY:Using Counter-Modellings analysing narratives about places of unsa
 fety in Recife\, Brazil - Dominik Kremer
DTSTART;TZID=Europe/Amsterdam:20240926T153000
DTEND;TZID=Europe/Amsterdam:20240926T160000
DTSTAMP:20260809T014834Z
UID:pretalx-spathum24-KU8GGA@pretalx.com
DESCRIPTION:In the context of crisis discourses\, corpus linguistic analys
 is of language use patterns are worthwhile in order to understand how cris
 es are linguistically bound (Bubenhofer\, 2009\; Kremer and Walker\, 2023)
 . This concerns acute crises such as diseases (Semino et al.\, 2004) or pa
 ndemics (Kremer and Felgenhauer\, 2022)\, but also everyday experiences of
  unsaftey in urban spaces (Moura de Souza et al.\, 2022). Metaphors of fig
 hting the crisis (Semino\, 2021) imply a search for places of the crisis (
 Brinks and Ibert\, 2020) in order to identify\, control and combat effects
  and causes (Chapman and Miller\, 2020). When it comes to the question of 
 experienced unsafety in everyday life\, it is known from conceptual social
  sciences that they are modelled best as fluid spaces (Redepenning et al.\
 , 2010)\, which reflect forms of mobility as well as constantly changing s
 ituations (Moura de Souza et al.\, 2022). Even when the virus had already 
 penetrated the population during the COVID-19 pandemic\, the question of a
  spatial origin\, the "hotspots"\, still played a decisive role in the sea
 rch for causes (Kremer and Felgenhauer\, 2022). Interestingly\, however\, 
 media repertoires have developed in everyday discourses on unsafety that a
 ddress this need non-cartographically in a mixture of social media and cla
 ssic unidirectional TV broadcasts (Moura de Souza et al.\, 2022) and thus 
 may represent a more suitable data basis for the analysis of unsafety than
  their mere visualization bound to map-based data.\n\nIn the search for sh
 ared "imaginaries" (Taylor\, 2004)\, the dominant guiding metaphors (Lakof
 f and Johnson\, 2003) and narratives (Viehöver\, 2001) of everyday places
 \, focus in Digital Spatial Humanities is directed towards multimodal anal
 ysis of imagery (Rose\, 2001) and text data (Mayring\, 2016). Supported by
  digital analysis methods\, certain structural findings are available for 
 the first time (Jannidis et al.\, 2017\; Moretti\, 2013).  In the traditio
 n of critical data studies (Dalton and Thatcher\, 2014\; Kitchin and Lauri
 ault\, 2014)\, however\, it has become established to interrogate such res
 earch-based digital representations and data collections as apolitical spa
 ces (Iliadis and Russo\, 2016)\, to systematically scrutinize power\, surv
 eillance and control in the supposed decision support and\, if necessary\,
  to help underrepresented interests gain more visibility through counter-d
 ata (Dalton and Thatcher\, 2014) (Iliadis and Russo\, 2016). Dominant pers
 pectives (Kitchin and Lauriault\, 2014)  manifest themselves - either unco
 nsciously through the organizational structure of the data or consciously 
 as part of a previously developed information architecture of a project - 
 as data and information modelling. In analogy to _counter-data_\, we thus 
 see our approach of what we call concept space analysis as an opportunity 
 to systematically examine data modeling and its social production conditio
 ns not only ex-post\, but complementarily in the sense of _counter-modelin
 g_ (Kremer/Lang in print) even before their development at the beginning o
 f projects in terms of texamining alternative explanatory approaches.\n\nW
 e illustrate our workflow using the example of a study on place-based narr
 atives about perceived safety in different stakeholder groups in the city 
 of Recife\, Brazil (Moura de Souza et al.\, 2022). A general **workflow** 
 can be derived (Kremer/Lang in print)\, which can be explored incrementall
 y in order to obtain complementary answers to research questions:\n\n1 **I
 dentify theoretical approach:** Which different theoretical approaches can
  be applied to the research question in principle? Which spatial terms are
  used to refer to the question from a technical point of view? What are th
 e basic assumptions?\n\n2 **Analyze conceptual space:** Which spatial conc
 epts should be used to make structures visible on the data in an explorati
 ve manner ? \n\n3 **Develop appropriate data modelling:** In which data sc
 hemas should the spatial data be organized? Which explorative data analyse
 s can be applied to appropriately evaluate the validity of the investigate
 d spatial theory approaches with respect to the given research question?
LOCATION:MG1 00.04 Hörsaal
URL:https://pretalx.com/spathum24/talk/KU8GGA/
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