Search results for "e-news"
showing 4 items of 4 documents
Significati vecchi e nuovi di ideologia: una rassegna
2020
Old ideologies, defined as «grand narratives», seem to have faded away, but this is not a conclusive argument to state that ideology has, itself, disappeared. In fact, there are strong reasons to believe that it has not. In the first part, this article offers a synthetic survey of some of the most significant conceptions of ideology in order to avoid the confusion generated by uncritical uses of the term. The vantage point of the analysis is the fundamental conceptual opposition between «ideology» and «praxis» («truth», or «reality»). The second part of the article opens up some questions about how the new forms of ideology may thrive in the new spaces created by the communication technolog…
Spiegare o mentire? Due vie della comunicazione politica in Tucidide
2021
Chosen as word of the year in 2016 by the Oxford Dictionaries, post-truth is a very recent neologism, spread on the wave of recent political events (particularly Brexit and Trump's election in 2016). What I would like to emphasise here is that post-truth, along with fake-news, refers to issues that are by no means new nor exclusively linked to modernity. I am referring in particular to the debate in ancient Greece on the relationship between truth and lies in political action and the relationship between 'fact' and the discourse that represents it (i.e. between ergon and logos).
AN ONTOLOGY-BASED RECOMMENDER SYSTEM USING HIERARCHICAL MULTICLASSIFICATION FOR ECONOMICAL E-NEWS
2014
International audience; This paper focuses on a recommender system of economic news articles. Its objectives are threefold: (i) automatically multi-classify new economic articles, (ii) recommend articles by comparing profiles of users and multi-classification of articles, and (iii) managing the vocabulary of the economic news domain to improve the system based on seamlessly intervention of documentalists. In this paper we focus on the automatic multi-classification of the articles, managed by inference process of ontologies, and the enrichment of the documentalist-oriented ontology which provides the necessary capabilities to the DL reasoner for automatic multi-classification.
PROFILE REFINEMENT IN ONTOLOGY-BASED RECOMMANDER SYSTEMS FOR ECONOMICAL E-NEWS
2014
International audience; This paper is interested in a recommender system of economic news articles. More precisely, it focuses on automatic profile refinement of customers which is an important task over time by taken into account logs of the user concerning especially his/her actions, reading time, and domain specific knowledge. In our approach, ontologies are used to describe and automatically refine these profiles. This work focuses on one particular type of recommender systems which is content-based recommenders. The aim of these recommender systems is to build a user profile and to improve its precision over time. Several improvements that have been made to these recommender systems ov…