- From: H.Alani <h.alani@open.ac.uk>
- Date: Wed, 1 Jul 2020 09:32:13 +0000
- To: "semantic-web@w3.org" <semantic-web@w3.org>
- Message-ID: <5AE47119-F60A-49DB-88E2-9BC878D51729@open.ac.uk>
Semantics for Online Misinformation Detection, Monitoring, and Prediction (SEMIFORM2020) https://d2klab.github.io/semiform2020/call.html International Semantic Web Conference (ISWC) https://iswc2020.semanticweb.org/ (Online Conference) Submission deadline - August 10, 2020 Call for Papers Ubiquitous misinformation such as unreliable and/or harmful content is actively and successfully influencing public perception and stance towards many sensitive issues and domains, including economy, health, environment, culture, and foreign policy. Today, around half the world’s population have access to the Internet, where they can create, propagate, and consume information instantly and globally. In spite of this rising addiction to rapid consumption of online information, people and current technologies are yet to adapt to the age of misinformation, where incorrect or misleading information is intentionally or unintentionally spread across social hm media, the Web and even some mainstream media. This workshop aims to gather cutting edge research, expertise, and techniques generated by the Semantic Web community, to join the growing global battle against misinformation. Topics of interest Includes but 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 Workshop Format SEMIFORM will be a full-day workshop and will consist of (a) invited talks, one from academia, and one from a fact-checking organisation, (b) peer-reviewed short papers (up to 4 pages long) and long papers (up to 8 pages long), (c) poster and demo session, and a (d) panel and discussion session. Accepted papers will be invited to submit to journal special issue on Web Content Credibility. Dates Workshop papers submissions - August 10, 2020 Notification - September 11, 2020 Camera Ready Submission - September 21, 2020 Publication of Proceedings - October 2, 2020 For any questions, please feel free to contact the organisers directly, or via semiform2020@easychair.org<mailto:semiform2020@easychair.org>. Best regards, Workshop Organisers Harith Alani, Kalina Bontcheva, Freddy Lecue, Raphael Troncy, Sofia Pinto
Received on Wednesday, 1 July 2020 09:32:28 UTC