- From: Pavlos Fafalios <fafalios@ics.forth.gr>
- Date: Tue, 7 Feb 2023 18:01:00 +0200
- To: public-lod@w3.org
- Message-ID: <CAKqN9Fqm9XCcorBVMc6DG6Hr7xFMZCjFzSw98-gTx7C7_wfpcg@mail.gmail.com>
- Beyond Facts - 3d International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts’23) https://beyondfacts2023.wordpress.com Collocated with TheWebConf (WWW) 2023 April 30 - May 4, 2023 Austin, Texas, USA * New submission deadline: February 12, 2023 (AoE) * Proceedings published by ACM as Companion Proceedings of TheWebConf 2023 SUMMARY Expressing opinions and interacting with others on the Web has led to the production of an abundance of online discourse data, such as claims and viewpoints on controversial topics, their sources and contexts (events, entities). This data constitutes a valuable source of insights for studies into misinformation spread, bias reinforcement, echo chambers or political agenda setting. While knowledge graphs promise to provide the key to a Web of structured information, they are mainly focused on facts without keeping track of the diversity, connection or temporal evolution of online discourse data. As opposed to facts, claims are inherently more complex. Their interpretation strongly depends on the context and a variety of intentional or unintended meanings, where terminology and conceptual understandings strongly diverge across communities from computational social science, to argumentation mining, fact-checking, or viewpoint/stance detection. This workshop aims at strengthening the relations between these communities, providing a forum for shared works on the modeling, extraction and analysis of discourse on the Web. It will address the need for a shared understanding and structured knowledge about discourse data in order to enable machine-interpretation, discoverability and reuse, in support of scientific or journalistic studies into the analysis of societal debates on the Web. Beyond research into information and knowledge extraction, data consolidation and modeling for KG building, the workshop targets communities focusing on the analysis of online discourse, relying on methods from machine learning, natural language processing and Web data mining. These include communities on: * discourse analysis * social web mining * argumentation mining * computational fact-checking * mis- and dis-information spread * bias and controversy detection and analysis * stance / viewpoint detection and representation * opinion mining * rumour, propaganda and hate-speech detection * computational journalism BeyondFacts provides a meeting point for these related but distinct communities that address similar or closely related questions from different perspectives and in different fields, using different models and definitions of the main notions of interest. Often these communities apply their research in particular domains, such as scientific publishing, medicine, journalism or social science. Therefore, the workshop is particularly interested in works that apply an interdisciplinary approach, such as works on computational social sciences or computational journalism. TOPICS OF INTEREST * Ontologies and data models for online discourse data * Reuse and extension of existing models such as schema.org and Wikidata * KGs and knowledge extraction techniques in the context of online discourse * Computational fact-checking / truth discovery * Computational journalism * Social, ethical and legal aspects of online discourse * Bias and controversy detection and analysis * Stance and viewpoint discovery * Rumour, propaganda and hate-speech detection * Intent discovery for claims * Interpretability \& explainability of online discourse analyses * Integration, aggregation, linking and enrichment of discourse data * Multilingual analysis of online discourse data * Semantic and exploratory search of online discourse data * Argumentation and reasoning over online discourse * Recommender systems for discourse data * Quality, uncertainty, provenance, and trust of discourse data * Dealing with online audiovisual content * Benchmarks and training data for extraction, verification or linking of discourse data * Use-cases, applications and cross-community interfaces SUBMISSION We welcome the following types of contributions: * Full papers (up to 12 pages; max 8 pages for the main content + max 2 pages for appendixes + max 2 pages for references) may contain original research of relevance to the workshop topics. * Short papers (up to 6 pages; all included with references) may contain original research in progress of relevance to the workshop topics. * System/Demo papers (up to 6 pages; all included with references) may contain descriptions of prototypes, demos or software systems related to the workshop topics. * Resource papers (up to 6 pages; all included with references) may contain descriptions of resources related to the workshop topics, such as ontologies, knowledge graphs, ground truth datasets, etc. * Position/Vision papers (up to 6 pages; all included with references) may discuss vision statements or arguable opinions related to the workshop topics. Workshop papers must be self-contained and in English. They should not have been previously published, should not be considered for publication, and should not be under review for another workshop, conference, or journal. All submissions must adhere to the ACM template ( https://www.acm.org/publications/proceedings-template), using the traditional double-column format. Word users may use *Word Interim* Template, and latex users may use *sample-sigconf* template. Overleaf users may want to use the ACM proceedings template available in Overleaf ( https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty ). Please submit your contributions electronically in PDF format via the EasyChair conference submission system: https://easychair.org/conferences/submissions?a=29997261 by selecting the track: [Workshop] Beyond Facts: 3d International Workshop on Knowledge Graphs for Online Discourse Analysis. For any enquiries, please send an email to the workshop organizers: https://beyondfacts2023.wordpress.com/organisers/ Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. At least one author of each accepted contribution must register for the workshop and present the paper. Pre-prints of all contributions will be made available during the conference. IMPORTANT DATES * Papers due: February 12, 2023 * Paper notifications: March 6, 2023 * Workshop papers camera-ready deadline: March 20, 2023: * Final program (with duration) provided to Workshop Track leads: March 31, 2023 * Workshop at WWW2023: March 1 and 2, 2023 All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone. KEYNOTES TBA soon PUBLICATION AND AWARD * Workshop papers will be included in TheWebConf'23 Companion proceedings, which are archived in the ACM Digital Library. * All contributions are eligible for the "Best Paper" award PREVIOUS EDITIONS * BeyondFacts 2021: https://knod2021.wordpress.com/ * BeyondFacts 2022: https://knod22.wordpress.com/ ORGANIZING COMMITTEE * Konstantin Todorov (University of Montpellier, CNRS, LIRMM, France) * Stefan Dietze (Heinrich-Heine-University Düsseldorf, GESIS, Germany) * Pavlos Fafalios (ICS-FORTH, Greece) PROGRAM COMMITTEE * Harith Alani, KMI, The Open University, UK * Katarina Boland, GESIS, Germany * Alexander Brand, University of Hildesheim, Germany * Sandra Bringay, Paul Valéry University of Montpellier, France * Giovanni Luca Ciampaglia, University of South Florida, USA * Ronald Denaux, Expert.AI, Spain * Gianluca Demartini, University of Queensland, Australia * Vasilis Efthymiou, FORTH, Greece * Michael Färber, Karlsruhe Institute of Technology, Germany * Salim Hafid, University of Montpellier, France * Mario Haim, University of Leipzig, Germany * Kyle Hamilton, Technological University Dublin, Ireland * Daniel Hardt, Copenhagen Business School, Denmark * Andreea Iana, University of Mannheim, Germany * Julio Amador Diaz Lopez, Imperial College London, UK * Ioana Manolescu, INRIA, France * Diana Maynard, University of Sheffield, UK * Petr Motlicek, Idiap Research Institute, Switzerland * Michalis Mountantonakis, FORTH, Greece * Philipp Müller, University of Mannheim, Germany * Preslav Nakov, Qatar Computing Research Institute, Qatar * Panagiotis Papadakos, FORTH, Greece * José Manuel Gómez Pérez, Expert.AI, Spain * Achim Rettinger, University of Trier, Germany * Kostas Stefanidis, Tampere University, Finland * François Scharffe, University of Montpellier, France * Daniel Schwabe, Pontificia Universidade Católica, Brazil * Pedro Szekely, University of South California, USA * Andon Tchechmedjiev, Ecoles des Mines d’Alès, France * Yannis Tzitzikas, FORTH, Greece * Ran Yu, University of Bonn, Germany * Xiaofei Zhu, Chongqing University -- Pavlos Fafalios Postdoctoral researcher Centre for Cultural Informatics & Information Systems Laboratory Institute of Computer Science - FORTH Visiting Lecturer Department of Management Science & Technology Hellenic Mediterranean University Web: http://users.ics.forth.gr/~fafalios/ Email: fafalios@ics.forth.gr Address: N. Plastira 100, Vassilika Vouton, 70013 Heraklion, Greece Tel: +30-2810-391619
Received on Tuesday, 7 February 2023 16:01:37 UTC