Interrupting the propaganda supply chain

Kyle Hamilton; Bojan Božić; Luca Longo

doi:10.21427/4kge-p823

Interrupting the propaganda supply chain

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this early-stage research, a multidisciplinary approach is presented for the detection of propaganda in the media, and for modeling the spread of propaganda and disinformation using semantic web and graph theory. An ontology will be designed which has the theoretical underpinnings from multiple disciplines including the social sciences and epidemiology. An additional objective of this work is to automate triple extraction from unstructured text which surpasses the state-of-the-art performance.

Original language	English
Article number	7
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	2877
DOIs	https://doi.org/10.21427/4kge-p823
Publication status	Published - 2021
Event	1st International Workshop on Knowledge Graphs for Online Discourse Analysis, KnOD 2021 - Virtual, Online Duration: 14 Apr 2021 → …

Keywords

Knowledge Extraction
Machine Learning
Multidisciplinary
Ontological Computation
Propaganda
Semantic Web

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10.21427/4kge-p823Licence: CC BY-NC-SA

https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1324&context=scschcomconLicence: CC BY

Cite this

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title = "Interrupting the propaganda supply chain",

abstract = "In this early-stage research, a multidisciplinary approach is presented for the detection of propaganda in the media, and for modeling the spread of propaganda and disinformation using semantic web and graph theory. An ontology will be designed which has the theoretical underpinnings from multiple disciplines including the social sciences and epidemiology. An additional objective of this work is to automate triple extraction from unstructured text which surpasses the state-of-the-art performance.",

keywords = "Knowledge Extraction, Machine Learning, Multidisciplinary, Ontological Computation, Propaganda, Semantic Web",

author = "Kyle Hamilton and Bojan Bo{\v z}i{\'c} and Luca Longo",

note = "Publisher Copyright: {\textcopyright} 2021 CEUR-WS. All rights reserved.; 1st International Workshop on Knowledge Graphs for Online Discourse Analysis, KnOD 2021 ; Conference date: 14-04-2021",

year = "2021",

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TY - JOUR

T1 - Interrupting the propaganda supply chain

AU - Hamilton, Kyle

AU - Božić, Bojan

AU - Longo, Luca

PY - 2021

Y1 - 2021

N2 - In this early-stage research, a multidisciplinary approach is presented for the detection of propaganda in the media, and for modeling the spread of propaganda and disinformation using semantic web and graph theory. An ontology will be designed which has the theoretical underpinnings from multiple disciplines including the social sciences and epidemiology. An additional objective of this work is to automate triple extraction from unstructured text which surpasses the state-of-the-art performance.

AB - In this early-stage research, a multidisciplinary approach is presented for the detection of propaganda in the media, and for modeling the spread of propaganda and disinformation using semantic web and graph theory. An ontology will be designed which has the theoretical underpinnings from multiple disciplines including the social sciences and epidemiology. An additional objective of this work is to automate triple extraction from unstructured text which surpasses the state-of-the-art performance.

KW - Knowledge Extraction

KW - Machine Learning

KW - Multidisciplinary

KW - Ontological Computation

KW - Propaganda

KW - Semantic Web

UR - http://www.scopus.com/inward/record.url?scp=85108024583&partnerID=8YFLogxK

U2 - 10.21427/4kge-p823

DO - 10.21427/4kge-p823

M3 - Conference article

AN - SCOPUS:85108024583

SN - 1613-0073

VL - 2877

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

M1 - 7

T2 - 1st International Workshop on Knowledge Graphs for Online Discourse Analysis, KnOD 2021

Y2 - 14 April 2021

ER -

Interrupting the propaganda supply chain

Abstract

Keywords

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