
Throughout human history, individuals, communities and societies have always had to confront and tackle the problem of death. Consequently, death remains a topic of social scientific relevance, highlighting the need for its study and for theorising around it. This article analyses the development of the social scientific study of death and dying, taking inspiration from Philippe Ariès’s historical stages to discuss the recent developments in the field, namely the study of digital death. The article begins with a discussion of the visibility of death in modern society in the context of spectacular death. The analysis emphasises its four dimensions: mediatisation, commercialisation, re-ritualisation and the revolution in end-of-life care. The article moves on to discuss the emergence of digital death as the current stage and reflects on its similarities to spectacular death and its transformation of public imaginaries around death in contemporary society. The article concludes with a reflection on future developments in the field, specifically the emergence and study of artificial intelligence (AI) in digitalised death culture.
H, historical stages, spectacular death, Social Sciences, ideal types, Death, spectacular death, digital media, Philippe Ariès, historical stages, ideal types, Ariès, digital death
H, historical stages, spectacular death, Social Sciences, ideal types, Death, spectacular death, digital media, Philippe Ariès, historical stages, ideal types, Ariès, digital death
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
