Workshop on NLP applied to Misinformation

Presentation

The objective of this workshop is to foster research both at the theoretical as well as at the level of practical real-world applications of NLP technologies applied to misinformation mitigation. The workshop aims at bringing together researchers, developers and industries interested in the problem of mitigating misinformation through NLP technologies. We will discuss recent trends and research projects, as well as developments and advances being made in the area of NLP to address the problem of misinformation from different perspectives.

 Topics

• Stance detection and polarization

• Automated claim verification (inference, counter-argument generation, multilinguality/crosslinguality) 

• Reliability detection

• Misleading headlines

• Collective intelligence

• Digital entities

• Harmful Information Detection: fake news and hate speech

• Semi-automatic disinformation annotation

• Disinformation resources

• Misinformation and economic with the truth

• Automatic fact-checking

• Evidence Extraction

• QA-based Verification

• Representation of Misinformation Propagation with Knowledge Graphs

• Conspiracy detection

• Spreading disinformation simulation

Submissions

We welcome already published works and work-in-progress (in publication or submission elsewhere, or ongoing research) papers with the aim of generating a fruitful discussion. These papers can be of the following three types:

1. Dataset submissions. Present and describe a dataset related to the topic of the workshop that has been or is being developed. 

2. Projects submissions. Describe ongoing projects within the topic of the workshop, both academic and industrial.

3. Original, unpublished contributions are also welcome.

All submissions will undergo double-blind peer review by the Program Committee and will be included in an open-access post-proceedings volume of CEUR Workshop Proceedings (http://ceur-ws.org/), indexed by both Scopus and DBLP.

• Submissions must be at least:

  • 10 pages long (regular papers)

  • between 5 and 9 pages long (short papers) 

• According to the CEUR instructions:

  • A regular paper has at least 10 “standard” pages (1 standard page = 2500 characters) and an appropriate number of references. It shall contain enough substance that it can be cited in other publications.

  • A short paper is still a paper with references, but has between 5-9 “standard” pages.

  • Further info: http://ceur-ws.org/HOWTOSUBMIT.html#PUBLISH-RULES

• We recommend that authors use the new CEUR-ART style for writing papers to be published:

  • An Overleaf page for LaTeX users is available at: https://www.overleaf.com/read/gwhxnqcghhdt

  • An offline version with the style files including DOCX template files is available at: http://ceur-ws.org/Vol-XXX/CEURART.zip

  • The paper must contain, as the name of the conference: NLP-MisInfo 2023: SEPLN 2023 Workshop on NLP applied to Misinformation, held as part of SEPLN 2023: 39th International Conference of the Spanish Society for Natural Language Processing, September 26th, 2023, Jaen, Spain

  • The title of the paper should follow the regular capitalization of English

  • Please, choose the single-column template 

• According to CEUR-WS policy, the papers will be published under a CC BY 4.0 license

  • https://creativecommons.org/licenses/by/4.0/deed.en

• If the paper is accepted, authors will be asked to sign (at pen) an author agreement with CEUR:

  • In case you do not employ Third-Party Material (TPM) in your draft, sign the document at http://ceur-ws.org/ceur-author-agreement-ccby-ntp.pdf?ver=2020-03-02

  • If you do use TPM, the agreement can be found at http://ceur-ws.org/ceur-author-agreement-ccby-tp.pdf?ver=2020-03-02 

• Please submit an anonymized version of the submission (do not indicate the names of authors and institutions and cite your work in an impersonal way)

• A selected best paper from NLP-MisInfo 2023, will be invited to publish, via fast track, an extended version in the Expert Systems Journal (https://onlinelibrary.wiley.com/journal/14680394).

Program

The workshop will consist of the presentation of long papers, two invited talks and a round table discussion session with the following schedule:

10:00 – 10:15: Opening

10:15 – 11:00: Invited Talk (Carlos Ponce – Maldita.es)

11:00 – 11:30: Coffee break

11:30 – 13:00: Session 1 (15′ presentation+ 5′ questions)

• "Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage"

Álvaro Huertas-García, Alejandro Martin, Javier Huertas-Tato and David Camacho.

• "ELAINE: rELiAbility and evIdence-aware News vErifier"

Carlos Badenes-Olmedo, Estela Saquete, Robiert Sepúlveda-Torres and Alba Bonet-Jover.

• "Where Does It End? Long Named Entity Recognition for Propaganda Detection and Beyond"

Piotr Przybyła and Konrad Kaczyński.

• "Google Snippets and Twitter Posts; Examining Similarities to Identify Misinformation"

Saud Althabiti, Mohammad Ammar Alsalka and Eric Atwell.

13:00 – 15:30: Launch

15:45 – 16:45: Invited Talk (Paolo Rosso – UPV)

17:00 – 17:30: Coffee

17:30 – 18:15: Session 2: Misinformation & PLN Projects (15′ presentation+ 5′ questions)

• "ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions" 

Piotr Przybyła and Horacio Saggion.

• "HAMiSoN Project"

Julio Reyes-Montesinos, Anselmo Peñas, Jan Deriu, Rajesh Sharma and Guilhem Valentin.

18:15 – 19:00: Panel discussion and closure

The venue of the workshop will be in the Pascual Rivas room at the Old School of Teaching of the University of Jaén. You can find more details in the webpage of the SEPLN'23 in the following link:

VENUE

Proceedings

The proceedings are published as CEUR Workshop Proceedings ( https://ceur-ws.org/Vol-3525/ )

A selected best paper from NLP-MisInfo 2023, will be invited to publish, via fast track, an extended version in the Expert Systems Journal (https://onlinelibrary.wiley.com/journal/14680394).

Program Comittee

• Rodrigo Agerri, HiTZ Center - Ixa, University of the Basque Country (UPV/EHU)

• Óscar Araque, GSI, Universidad Politécnica de Madrid (UPM)

• Carlos Badenes-Olmedo, Ontology Engineering Group (OEG), Universidad Politécnica de Madrid (UPM)

• David Camacho, Applied Intelligence & Data Analysis group, Universidad Politécnica de Madrid (UPM)

• Jorge Carrillo-de-Albornoz, NLP & IR, Universidad Nacional de Educación a Distancia (UNED)

• Roberto Centeno, NLP & IR, Universidad Nacional de Educación a Distancia (UNED)

• Pablo Hernandez, Maldita.es

• Manuel Montes, Laboratory of Language Technologies of the Computational Sciences Department (INAOE), México

• Borja Lozano, Newtral

• Laura Plaza, NLP & IR, Universidad Nacional de Educación a Distancia (UNED)

• Anselmo Peñas, NLP & IR UNED, Universidad Nacional de Educación a Distancia (UNED)

• Álvaro Rodrigo, NLP & IR, Universidad Nacional de Educación a Distancia (UNED)

• Paolo Rosso, PRHLT Research Center, Universitat Politècnica de València (UPV).

• Fernando Sánchez, GSI, Universidad Politécnica de Madrid (UPM)

• Estela Saquete, Natural Language Processing and Information Systems Group, University of Alicante

• Mariona Taule Delor, CLiC- The Language and Computation Center-CLiC, University of Barcelona

Organizing Committee