Media Mutations is an international conference on contemporary audiovisual media hosted by the Department of the Arts of Università di Bologna. The event has now reached its 13th edition. This year focus is on datafication of audiovisual media content and audiences, and on data-driven methods and methodologies for the study of films and TV series.
Quantitative perspectives applied to narrative audiovisual texts and consumption have not been absent in the history of film and media studies, but they have often been received with some resistance from proponents of more traditional approaches. However, in recent years, influential researchers’ initiatives have highlighted both an opportunity to explore the potential of these studies and a gap between the possibilities of digital data and computational tools and their application in media studies. Nowadays, as data analytics and artificial intelligence strategies have gained importance in many areas of the media industries, the number of data-driven studies have also increased and gained traction in the academic debate and in the wider field of film, media and sound studies. Indeed, several methodological lines of inquiry have been developed to discover patterns, trends, or characteristics of audiovisual products, such as processing textual objects through multimodal approaches, social discursivity through automated software or evaluating production and consumption processes through social network analysis and modelling techniques. All these research projects are based on specific tools for the collection and analysis of audiovisual media data through statistical and modelling tools.
Drawing on these considerations, the conference aims to bring attention to and promote discussion on systematic methods to conduct data-driven research in film and media studies. The conference intends to be an opportunity both to investigate what we can do with data, and the analytical and interpretative possibilities at stake, and to reflect on what data can be (and what kind of data we must deal with), to problematize the possible limits of such approaches to the study of audiovisual narrative media.
We welcome any contributions that employ the use of data-driven tools for collecting, sampling, analysing, and modelling audiovisual content and data. In line with its founding purposes, the conference wishes to serve as a basis for discussing methods and methodologies, sharing research results, and promoting a multi-disciplinary approach.
Confirmed keynote speakers:
Monika Bednarek, Professor in Linguistics at the University of Sydney, Australia
Makarand Tapaswi, Senior Machine Learning Scientist at Wadhwani AI and Assistant Professor at the Computer Vision group at IIIT Hyderabad, India
Programme
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