scholarly journals Distant viewing and multimodality theory: Prospects and challenges

2021 ◽  
pp. 263497952110070
Author(s):  
Tuomo Hiippala

This article discusses the prospects and challenges of combining multimodality theory with distant viewing, a recent framework proposed in the field of digital humanities. This framework advocates the use of computational methods to enable large-scale analysis of visual and multimodal materials, which must be nevertheless supported by theories that explain how these materials are structured. Multimodality theory is well-positioned to support this effort by providing descriptive schemas that impose structure on the materials under analysis. The field of multimodality research can also benefit from adopting computational methods, which help to achieve the long-term goal of building large multimodal corpora for empirical research. However, despite their immense potential for multimodality research, the use of computational methods warrants caution, because they involve a number of potentially cascading risks that arise from biases inherent to the underlying data and different approaches to the phenomenon of multimodality.

2013 ◽  
Vol 69 (12) ◽  
pp. 2826-2838 ◽  
Author(s):  
Lars G. Tummers ◽  
Sandra M. Groeneveld ◽  
Marcel Lankhaar

2019 ◽  
Vol 18 (5) ◽  
pp. 610-621
Author(s):  
Karin Priem ◽  
Lynn Fendler

This article historicizes “rigor,” discipline,” and “systematic” as inventions of a certain rational spirit of Enlightenment that was radicalized during the 19th century. These terms acquired temporary value in a transition during the 19th century when a culture of research was established within a modern episteme. Beginning in the 20th century, this development was perceived as problematic, triggering criticism from philosophy and the arts, and even within the sciences. “Discipline,” “rigor,” and “systematic” have changed meanings over time, and recent contributions from digital humanities are promising for a renewed critical debate about rigor in research. Both digital humanities and quantitative research deal with big data sets aimed at providing a large-scale analysis. However, unlike most quantitative research, digital humanities explore uncertainties as their main focus. Attention to the human-machine collaboration has led to more expansive thinking in scientific research. Digital humanities go further by advancing a metaperspective that deals with the material hermeneutics of data accumulation itself.


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