Public Debates on the Web

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

With the advent of social media, any piece of information may be spread all over the world in no time. Furthermore, the vast number of available communication channels makes it difficult to cross-check information that has been (re-)published on different media in real time. In this context where people may express their positions on many subjects, as well as launching new open initiatives, the public needs a mean to gather and compare ideas and opinions in a structured manner. The present paper presents the WebDEB project, which aims to develop a collaborative platform where opinions, namely arguments, are gathered, analyzed and linked to one another via explicit relations. WebDEB relies on various Natural Language Processing modules to semi-automatically extract information from the web and propose meaningful visualizations to the platform’s contributors. Furthermore, public actors may be identified and attached to the ideas they publish to create a structured knowledge base where annotated texts, extracted positions and alliances may be identified.

Original languageEnglish
Title of host publicationWeb Engineering - 17th International Conference, ICWE 2017, Proceedings
EditorsJordi Cabot, Roberto De Virgilio, Riccardo Torlone
Place of PublicationRome
PublisherSpringer
Pages520-532
Number of pages13
Volume10360
ISBN (Electronic)978-3-319-60131-1
ISBN (Print)978-3-319-60130-4
DOIs
Publication statusPublished - Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10360 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Social web
  • Public debate
  • Argumentation
  • Speech acts
  • Natural language processing
  • Argumentation
  • Natural language processing

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