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.
DEADLINE EXTENDED: Submissions due 8th February 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 (raphael.troncy@eurecom.fr), http://www.eurecom.fr/~troncy/
Raphael
Troncy is an Associate Professor at the Data Science Department of EURECOM,
France since 2009, leading the Data 2 Knowledge team. He obtained with honors a
PhD from the University of Grenoble Alpes (France) together with the National
Audio-Visual Institute (INA) in Paris and Inria Rhône Alpes in 2004. He was
awarded ERCIM Post-Doctorate Research Associate in the National Research
Council (CNR) in Pisa (Italy) in 2005, and in the National Research Institute
for Mathematics and Computer Science (CWI) in Amsterdam (Netherlands) in 2006.
His main research interest concerns the use of semantic web technologies for
data integration and semantic multimedia annotations, information extraction
and recommender systems. He is involved in a number of news related research
projects such as ASRAEL (https://asrael.limsi.fr/) that aims to infer
schemas for representing news events.
Harith
Alani -
Knowledge Media institute, The Open University, UK (h.alani@open.ac.uk) http://people.kmi.open.ac.uk/harith/
A Full Professor in KMi, OU, leading the Social Data Science group. Harith published over 160 scientific papers in various leading journals and conferences. He has occupied prominent roles in the Organisation Committee of many international conferences, including ISWC, The Web Conf, and ACM WebSci. Prof Alani is currently involved in two international projects on misinformation; Co-Inform (co-inform.eu), and HERoS (heros-project.eu), which are investigating misinformation and fact-checking on social media.
Sofia Pinto - INESC-ID/IST, Universidade de Lisboa,
Lisboa, Portugal (sofia.pinto@tecnico.ulisboa.pt), https://www.inesc-id.pt/member/413/
H. Sofia Pinto is an
Assistant Professor at the Department of Computer Science and Engineering of
Instituto Superior Técnico, IST, University of Lisbon. She is a Senior
Researcher at INESC-ID. She has worked mainly in knowledge representation
& reasoning and semantic web: ontologies and ontology engineering,
inheritance systems, and truth maintenance systems. Her current research
interests include ontology engineering, semantics and social media for
organizational learning, social network influence analysis (complex networks). She
published more than 60 refereed scientific papers on those areas and received
two best paper awards. She was the (co)-Program Chair of EKAW 2010, EPIA 2011,
I-SEMANTICS 2012, STAIRS 2016. She served in several Chair or Committee roles
for several events such as ISWC, ESWC, The Web Conf, KRR, ECAI. In the last
years she has been researching computational creativity. She is Workshop
Chair at the International Computational Creativity Conference 2020.
Freddy Lecue - CortAIx, Thales, Montreal, Canada,
http://www-sop.inria.fr/members/Freddy.Lecue/
Freddy Lecue (PhD
2008, Habilitation 2015) Dr. Freddy Lecue is the Chief Artificial Intelligence
(AI) Scientist at CortAIx (Centre of Research & Technology in Artificial
Intelligence eXpertise) at Thales in Montreal - Canada. He is also a research
associate at INRIA, in WIMMICS, Sophia Antipolis - France. Before joining the
new R&T lab of Thales dedicated to AI, he was AI R&D Lead at Accenture
Labs in Ireland from 2016 to 2018. Prior joining Accenture Accenture Labs, he
was a Research Scientist at IBM Research, Smarter Cities Technology Center
(SCTC) in Dublin, Ireland, and lead investigator of the Knowledge
Representation and Reasoning group. He has over 40 publications in refereed
journals and conferences related to Artificial Intelligence and Semantic
Web.
Kalina Bontcheva – University of Sheffield, UK (k.bontcheva@sheffield.ac.uk) http://www.dcs.shef.ac.uk/~kalina/
A professor of text
analytics and world-leading expert on computational analysis of online rumours
and disinformation. Head of the Natural Language Processing (NLP) group at
Sheffield. Her main interests are in analysing online rumours, abuse, bots, and
disinformation campaigns, where she applies her knowledge of NLP and knowledge
technologies. Kalina is the scientific director of the WeVerify project on
collaborative verification and previously coordinated the PHEME project on
computational veracity of social media. Kalina has co-organised the RDSM 2015
and 2020 workshops, the RumourEval 2017 and 2019 shared tasks on rumour
analysis, and delivered several keynotes. Her expertise in misinformation and
social media analysis is essential for this workshop.
Review committee
- Ahmet Aker (University of Sheffield, UK and University of Duisburg-Essen, Germany)
- Martin Atzmueller (University of Kassel, Germany)
- Katarina Boland (GESIS, Germany)
- Dan Brickley (Google, UK)
- Gregoire Burel (The Open University, UK)
- Stefan Dietze (GESIS, Germany)
- Mauro Dragoni (Fondazione Bruno Kessler, Italy)
- Pavlos Fafalios (FORTH-ICS, Greece)
- Miriam Fernandez (OU, UK)
- Paolo Papotti (EURECOM, France)
- Victoria L. Rubin (University of Western Ontario, USA)
- Daniel Schwabe (Pontificia Universidade Católica, Brazil)
- Konstantin Todorov (University of Montpellier, France)
- Ronald Denaux (Expert System, Spain)
- Oshani Seneviratne (RPI, USA)
- Mário Silva (INESC-ID, Portugal)
- Bruno Martins (INESC-ID, Portugal)
- Jose
Manuel (ES Iberia, Spain)
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
The
Journal of Web Semantics solicits original scientific contributions of high
quality. Following the overall mission of the journal, we emphasize the
publication of papers that combine theories, methods and experiments from
different subject areas in order to deliver innovative semantic methods and
applications. The publication of large-scale experiments and their analysis is
also encouraged to clearly illustrate scenarios and methods that introduce
semantics into existing Web interfaces, contents and services.
Submission
of your manuscript is welcome provided that it, or any translation of it, has
not been copyrighted or published and is not being submitted for publication
elsewhere. Manuscripts should be prepared for publication in accordance with
instructions given in the JWS guide for authors. The submission and
review process will be carried out using Elsevier's Web-based Editorial Manager (EM) system. Please select “SI:CRED”
when reaching the Article Type selection.
Upon acceptance of an article, the author(s) will be asked to transfer copyright of the article to the publisher. This transfer will ensure the widest possible dissemination of information. Elsevier's liberal preprint policy permits authors and their institutions to host preprints on their web sites. Preprints of the articles will be made freely accessible via JWS First Look. Final copies of accepted publications will appear in print and at Elsevier's archival online server.