Journalistic genres in teaching of journalism in Spain. A historical review

This article shows the influence that journalistic genres had on the first organisation of communication studies in Spain as well as the role they remain to play in the teaching of journalism. A review is done starting from the origins of the didactics of genres, continuing with the role of genres in the beginning of regulated studies of journalism, and finalising with an analysis of their place in present education programmes which reveals that practical and theoretical knowledge of the genres are still a main objective in the training of future journalists in Spain.

Reality Shows in Chile, origin and road map. Historical-Communication Dialogues

Reality shows are TV programs which represent a format used in television nowadays; however, the observation practices of individual and/or group intimacy dates from thousands years ago. Sometimes this was driven by voyeurism or morbid fascination, some others, by the purpose of guarding, supervising and maintaining status quo. This work offers an alternative answer to the explanation of this type of TV program emergence and relates this appearance to a government procedure bound up with modern State terrorism which began at the end of the eighteenth century and has been recalled by different regimes until present days.

Analysing spatio-temporal change by use of national historical Geographical Information Systems: Population change during and after the Great Irish Famine

Several countries have made large investments in building historical Geographical Information Systems (GIS) databases containing census and other quantitative statistics over long periods of time. Making good use of these databases requires approaches that explore spatial and temporal change.

Error sensitive historical GIS: Identifying areal interpolation errors in time series data

Historical GIS has the potential to re-invigorate our use of statistics from historical censuses and related sources. In particular, areal interpolation can be used to create long-run time-series of spatially detailed data that will enable us to enhance significantly our understanding of geographical change over periods of a century or more. The difficulty with areal interpolation, however, is that the data that it generates are estimates which will inevitably contain some error. This paper describes a technique that allows the automated identification of possible errors at the level of the individual data values.