Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

A FAKE NEWS CLASSIFICATION FRAMEWORK: APPLICATION ON IMMIGRATION CASES

100%
VOROBYEVA T., MOURATIDIS K., DIAMANTOPOULOS F.-N., GIANNOPOULOS P., TAVLARIDOU K., TIMAMOPOULOS C., PERISTERAS V., MAGNISALIS I., SHAH S. I. H.
Communication Today
|
2020
|
vol. 11
|
issue 2
118 - 131
EN
In this study we conduct a systematic literature review with the aim of pointing out the characteristics and types of fake news. We use them to formulate a framework to facilitate classification of fake news instances. Using the classification framework of fake news, we analyse 59 different fake news cases regarding immigration. The research team provided a proof of concept of applicability of the proposed framework for categorising immigration fake news cases. Towards this direction, machine learning algorithms were employed to identify association rules among the classification facets of our framework. The findings of the research study show that a number of these rules can be used in order to design a semi-automated tool that fills-in some of the characteristics of our framework and infers the rest, thus utilising the extracted rules. Benefits stemming from this work include a proposition of an easy to use framework for fake news classification, and derivation of commonly occurring patterns that demonstrate how fake news, as well as their types, interrelate.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.