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. Submissions are 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
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.
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.
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.
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.
- Submission deadline: January 25th, 2021
- Author notification: April 2nd, 2021
- Revised version: June 1st, 2021
- Final notification: July 15th, 2021
- Publication: ~Oct-Dec 2021
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 EES 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.