This article presents an overview and initial results of a geoweb analysis designed to provide the foundation for a continued discussion of the potential impacts of ‘big data’ for the practice of critical human geography. While Haklay's (2012) observation that social media content is generated by a small number of ‘outliers’ is correct, we explore alternative methods and conceptual frameworks that might allow for one to overcome the limitations of previous analyses of user-generated geographic information. Though more illustrative than explanatory, the results of our analysis suggest a cautious approach toward the use of the geoweb and big data that are as mindful of their shortcomings as their potential. More specifically, we propose five extensions to the typical practice of mapping georeferenced data that we call going ‘beyond the geotag’: (1) going beyond social media that is explicitly geographic; (2) going beyond spatialities of the ‘here and now’; (3) going beyond the proximate; (4) going beyond the human to data produced by bots and automated systems, and (5) going beyond the geoweb itself, by leveraging these sources against ancillary data, such as news reports and census data. We see these extensions of existing methodologies as providing the potential for overcoming existing limitations on the analysis of the geoweb. The principal case study focuses on the widely reported riots following the University of Kentucky men's basketball team's victory in the 2012 NCAA championship and its manifestation within the geoweb. Drawing upon a database of archived Twitter activity – including all geotagged tweets since December 2011–we analyze the geography of tweets that used a specific hashtag (#LexingtonPoliceScanner) in order to demonstrate the potential application of our methodological and conceptual program. By tracking the social, spatial, and temporal diffusion of this hashtag, we show how large databases of such spatially referenced internet content can be used in a more systematic way for critical social and spatial analysis.

It is sometimes claimed that the degree of polycentricity of an urban region influences that region’s competitiveness. However, because of widespread use and policy relevance, the underlying concept of polycentricity has become a ‘stretched concept’ in urban studies. As a result, academic debate on the topic leads to situations reminiscent of Babel’s Tower. This meta-study of the scientific literature in urban studies traces the conceptual stretching of polycentricity using scientometric methods and content analysis. All published studies that either apply the concept directly or cite a work that does, were collected from the Scopus bibliographic database. This resulted in a citation network with over 9000 works and more than 20,000 citations between them. Network analysis and clustering algorithms were used to define the most influential papers in different citation clusters within the network. Subsequently, we employed content analysis to systematically assess the mechanisms associated with the formation of polycentric urban systems in each of these papers. Based on this meta-analysis, we argue that the common categorisation of polycentricity research in intra-urban, inter-urban and inter-regional polycentricity is somewhat misleading. More apt categorisations to understand the origins of polycentricity’s conceptual ambiguity relate to different methodological traditions and geographical contexts in which the research is conducted. Nonetheless, we observe a firm relation across clusters between assessments of polycentricity and different kinds of agglomeration economies. We conclude by proposing a re-conceptualisation of polycentricity based on explicitly acknowledging the variable spatial impact of these different kinds of agglomeration economies.