[Final CfP] KnOD'22 @ TheWebConf | Deadline extension + Keynote Talks

- Beyond Facts -
2nd International Workshop on Knowledge Graphs for Online Discourse
Analysis (KnOD)

Collocated with TheWebConf (WWW) 2022
25-29 April 2022, Online Event

https://knod22.wordpress.com/


/// LATEST NEWS ///

* Submission deadline extended to February 10
* 3 keynote talks by Serena Villata, Harith Alani and José Manuel Gómez
Pérez


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

KnOD 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
* Knowledge graphs 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 and explainability of online discourse analyses
* Integration, aggregation, linking and enrichment of 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

* 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 8 pages; max 4 pages for the main content + max 2
pages for appendixes + max 2 pages for references) may contain original
research in progress of relevance to the workshop topics.
* Demo and system papers (up to 8 pages; max 4 pages for the main content +
max 2 pages for appendixes + max 2 pages for references) may contain
descriptions of prototypes, demos or software systems related to the
workshop topics.
* Resource papers (up to 8 pages; max 4 pages for the main content + max 2
pages for appendixes + max 2 pages for references) may contain descriptions
of resources related to the workshop topics, such as ontologies, knowledge
graphs, ground truth datasets, etc.
* Position papers (up to 8 pages; max 4 pages for the main content + max 2
pages for appendixes + max 2 pages for references) may discuss vision
statements or arguable opinions related to the workshop topics.
* Posters (up to 2 pages) may contain preliminary work in progress 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.

Papers have to be submitted electronically via the EasyChair conference
submission system: https://easychair.org/conferences/?conf=knod22


IMPORTANT DATES

* Papers due: February 10, 2022
* Paper notifications: March 10, 2022
* Paper camera-ready versions due: March 17, 2022
* Workshop: April 25/26, 2022


KEYNOTES

* Serena Villata, CNRS / I3S, France
* Harith Alani, Knowledge Media Institute, The Open University, UK
* José Manuel Gómez Pérez, Expert.AI, Spain


AWARD

* All contributions are eligible for the "Best Paper" award


PREVIOUS EDITION

* KnoD 2021: https://knod2021.wordpress.com/


ORGANIZING COMMITTEE

* Konstantin Todorov (University of Montpellier & LIRMM, France)
* Stefan Dietze (Heinrich-Heine-University Düsseldorf & GESIS, Germany)
* Pavlos Fafalios  (ICS-FORTH, Greece)


PROGRAM COMMITTEE

* 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, Amazon.com, Spain
* Gianluca Demartini, University of Queensland, Australia
* Vasilis Efthymiou, FORTH, Greece
* Michael Färber, Karlsruhe Institute of Technology, Germany
* Mario Haim, University of Leipzig, Germany
* Kyle Hamilton, Technological University Dublin, Ireland
* Daniel Hardt, Copenhagen Business School, Denmark
* Julio Amador Diaz Lopez, Imperial College London, UK
* Pranava Madhyastha, City University of London, UK
* Ioana Manolescu, INRIA, France
* Petr Motlicek, Idiap Research Institute, Switzerland
* 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
* 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
* Xiaofei Zhu, Chongqing University of Technology, China


-- 
Pavlos Fafalios

Postdoctoral researcher (Marie Curie IF - Project ReKnow
<https://reknow.ics.forth.gr/>)
Centre for Cultural Informatics & Information Systems Laboratory
Institute of Computer Science - FORTH

and

Visiting Lecturer
Department of Management Science & Technology
Hellenic Mediterranean University

Address: N. Plastira 100, Vassilika Vouton, 70013 Heraklion, Greece
Email: fafalios@ics.forth.gr
Tel: +30-2810-391619
Web: http://users.ics.forth.gr/~fafalios/