PList-based Divide and Conquer Parallel Programming

This paper details an extension of a Java parallel programming framework – JPLF. The JPLF framework is a programming framework that helps programmers build parallel programs using existing building blocks. The framework is based on {em PowerLists} and PList Theories and it naturally supports multi-way Divide and Conquer. By using this framework, the programmer is exempted from dealing with all the complexities of writing parallel programs from scratch. This extension to the JPLF framework adds PLists support to the framework and so, it enlarges the applicability of the framework to a larger set of parallel solvable problems. Using this extension, we may apply more flexible data division strategies. In addition, the length of the input lists no longer has to be a power of two – as required by the PowerLists theory. In this paper we unveil new applications that emphasize the new class of computations that can be executed within the JPLF framework. We also give a detailed description of the data structures and functions involved in the PLists extension of the JPLF, and extended performance experiments are described and analyzed

Advances in Clickbait and Fake News Detection Using New Language-independent Strategies

Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading. Its presence in online media leads to an overall bad browsing experience for the web consumer. Recently, big players on the Internet scene, such as search engines and social networks, have turned their attention towards this negative phenomenon that is increasingly present in our everyday browsing experience. The research community has also joined in this effort, a broad band of detection techniques being developed. These techniques are usually based on intelligent classifiers, for which feature selection is of great importance. The work presented in this paper brings our own contributions to the field of clickbait detection. We present a new language-independent strategy for clickbait detection that takes into consideration only features that are general enough to be independent of any particular language. The methods presented in this paper could be applied to web content written in different languages. In addition, we present the results of a complex experiment that we performed to evaluate our proposed method and we compare our results with the most relevant results previously obtained in the field

A Java Framework for High Level Parallel Programming Using Powerlists

International audienceParallel programs based on the Divide&Conquer paradigm could be successfully defined in a simple way using powerlists. These parallel recursive data structures and their algebraic theories offer both a methodology to design parallel algorithms and parallel programming abstractions to ease the development of parallel applications. The paper presents how programs based on powerlists can be implemented in Java using the framework we developed. The design of this framework is based on powerlists theory, but in the same time follows the object-oriented design principles that provide flexibility and maintainability. Examples are given and performance experiments are conducted. The results emphasise the utility and the efficiency of the framework