Abstract (EN):
With the active presence of algorithms as intermediaries between journalism and
the public, the news industry is once again facing challenges that call for a new
type of literacy. This article focuses on the concept of personalized distribution on
the basis of mediation of information and provides a knowledge-base to identify and
discuss key aspects of the inner working of algorithms. This analysis builds on the
economical crisis of the news industry and remaps the revenue and value
discussion for the news industry at the intersection of algorithmic intelligence and
control. In order to capture capture the full range of challenges the news industry
faces, the article combines the reflection of scholars (e.g. Nicholas Carr, Michael
Latzer et al. and Michael A. DeVito) about the potential risks and biases that
emerge from the increased use of algorithms with professional inputs (e.g. Jack
Fuller, Mathew Ingram, Robert H. Giles and John Huey) about the recurrent slow
reaction of the news industry to the emerging technological innovations. This
reasoning is then complemented with a reflection that derives from the potential of
algorithmic literacy. As a result, this papers uncovers new economical challenges
and shifts of responsibility in the news industry at the levels of value, control and
skills.
Language:
English
Type (Professor's evaluation):
Scientific