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Journalism and Personalised Distribution

Title
Journalism and Personalised Distribution
Type
Article in International Conference Proceedings Book
Year
2017
Authors
Rocha, Tiago Gama
(Author)
Other
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Frias, Paulo
(Author)
FLUP
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Conference proceedings International
Pages: 182-202
V Congresso Internacional de Ciberjornalismo: Ciberjornalistas 3.0
Porto (FLUP), 24 e 25 de Novembro 2016
Scientific classification
CORDIS: Social sciences > Communication sciences
Other information
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
Documents
File name Description Size
paulo_frias_journalism 472.56 KB
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