The “modulation mania”. Impersonal enunciation and visual rhetoric of the data image

By: Federico Biggio


Volume: 08
Issue: 01:Summer 2022
ISSN: 2459-2943
DOI: 10.18680/hss.2022.0003
Pages: 31-45
Lic.: CC BY-NC-ND 4.0
Computational enunciation
Data Scraping
Data Images
Data pollution



Τhe growth of contemporary positivistic trust in computational tools inspired semiotics to contribute to the debate on the strategies of communication of truth. In order to study these strategies in data images, the article features a framework modelled on the theory of impersonal enunciation. The computational utterer is believed to assure a super-personal enunciation, understood as impartial and true. Furthermore, it will be observed how subjectivities are in any case modulated in the data images: this operation constitutes as much a visual rhetoric to achieve the effect of truthfulness as it is a discursive practice featuring the computational enunciation of the data image.


Download full text: PDF

Powered by WordPress | Designed by: seo services | Thanks to seo company, web designer and internet marketing company