TY - GEN
T1 - A linked data model for facts, statements and beliefs
AU - Duroyon, Ludivine
AU - Goasdoué, François
AU - Manolescu, Ioana
N1 - Publisher Copyright:
© 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - A frequent journalistic fact-checking scenario is concerned with the analysis of statements made by individuals, whether in public or in private contexts, and the propagation of information and hearsay (“who said/knew what when”). Inspired by our collaboration with fact-checking journalists from Le Monde, France's leading newspaper, we describe here a Linked Data (RDF) model, endowed with formal foundations and semantics, for describing facts, statements, and beliefs. Our model combines temporal and belief dimensions to trace propagation of knowledge between agents along time, and can answer a large variety of interesting questions through RDF query evaluation. A preliminary feasibility study of our model incarnated in a corpus of tweets demonstrates its practical interest.
AB - A frequent journalistic fact-checking scenario is concerned with the analysis of statements made by individuals, whether in public or in private contexts, and the propagation of information and hearsay (“who said/knew what when”). Inspired by our collaboration with fact-checking journalists from Le Monde, France's leading newspaper, we describe here a Linked Data (RDF) model, endowed with formal foundations and semantics, for describing facts, statements, and beliefs. Our model combines temporal and belief dimensions to trace propagation of knowledge between agents along time, and can answer a large variety of interesting questions through RDF query evaluation. A preliminary feasibility study of our model incarnated in a corpus of tweets demonstrates its practical interest.
KW - Data journalism
KW - Fact-checking
KW - Linked data
KW - Tweet analysis
UR - https://www.scopus.com/pages/publications/85066908827
U2 - 10.1145/3308560.3316737
DO - 10.1145/3308560.3316737
M3 - Conference contribution
AN - SCOPUS:85066908827
T3 - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
SP - 988
EP - 993
BT - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
PB - Association for Computing Machinery, Inc
T2 - 2019 World Wide Web Conference, WWW 2019
Y2 - 13 May 2019 through 17 May 2019
ER -