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JWS Special Issue on Content Credibility

From: H.Alani <h.alani@open.ac.uk>
Date: Mon, 14 Sep 2020 08:49:43 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <97C82E7E-CF31-4400-98F4-D06AB8CF344E@open.ac.uk>
Journal of Web Semantics Special Issue on Content Credibility

Deadline:  25th January 2021.
CFP: http://www.websemanticsjournal.org/2020/09/cfp-content-credibility.html

The Journal of Web Semantics invites submissions for a special issue on Content Credibility to be edited by Raphaël Troncy, Harith Alani, Sofia Pinto, Freddy Lecue and Kalina Bontcheva.  Submission due by 25th January 2021.

Digital misinformation is becoming pervasive in all online media, and is affecting our perceptions in critical domains, such as health, politics, foreign policy, economy, and environment. In spite of this rising addiction to rapid consumption of online information, people and current technologies are yet to adapt to the proliferation of misinformation. Semantics can play a significant role in battling misinformation, such as by contributing to detection of misinformation content, monitoring its spread and impact, predicting its evolution, identifying misinforming sources, mobilising knowledge graphs to support fact-checking, representing claims and fact-checks.

With this special issue, we aim to capture the state of the art in semantic web research towards misinformation. Topics of interest include, but are not limited to:

• Ontologies for representing rumors, misinformation, disinformation, and other deceptive content
• Semantic models of misinformation detection
• Knowledge graphs for integrating and analysing misinformation content
• Semantic analysis of opinion and sentiment towards misinformation
• Misinformed-behaviour semantic representation and analysis
• Detection of information and semantic frame manipulation
• Semantic similarity of articles with more/less exaggerated/biased content
• Semantic topic affinity analysis of users sharing unreliable content
• Semantic extraction of misinforming topics and events
• Misinformation semantic patterns identification and prediction
• Semantically-enriched datasets of misinformation content and sources
• Semantic matching of Fact-Checking misinformation assessment labels
• Modelling user/information source trustworthiness
• Semantic annotation standards for misinformation annotation
• ClaimReview schema usage and structure assessment
• Semantic applications for tackling the spread of misinformation
• Using Linked Open Data as a source of factual information

Guest Editors
Raphaël Troncy - EURECOM, Sophia Antipolis, France
Harith Alani - Knowledge Media institute, The Open University, UK
Sofia Pinto - INESC-ID/IST, Universidade de Lisboa, Lisboa, Portugal
Freddy Lecue - CortAIx, Thales, Montreal, Canada
Kalina Bontcheva – University of Sheffield, UK

Important Dates
• Submission deadline:  January 25th, 2021
• Author notification:    April 2nd, 2021
• Revised version:         June 1st, 2021
• Final notification:       July 15th, 2021
• Publication:                ~Oct-Dec 2021

Submission Guidelines

Received on Monday, 14 September 2020 08:49:59 UTC

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