The impact of fake news in the global economy, public health and even in the creation of panic in society has been extensively documented in the past few years with
countless examples. Thus, the high cost associated with the spread of fake news: the absence of control and verification of the information, which makes social media a fertile ground for the spread of unverified or false information. With this in mind, we
can affirm that the magnitude, diversity and substantial dangers of fake news and, in more general terms, the disinformation circulating on social media is becoming a reason of concern due to the potential social cost it may have in the near future. As a consequence,
the research community in the field of Natural Language Processing, has been focusing on the detection and intervention of fake news using techniques such as Machine Learning and Deep Learning, and taking into account: – Content-based features contain information
that can be extracted from the text, such as linguistic features. – Context-based features contain surrounding information such as user characteristics, social network propagation features, or users’ reactions to the information.
Thus, 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.
10:00 – 10:15: Opening
10:15 – 11:00: Invited Talk (Carlos Ponce – Maldita.es)
11:00 – 11:30: Coffee
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: Lunch
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 clousure
- Rodrigo Agerri, HiTZ Center – Ixa, University of the Basque Country (UPV/EHU)
- Roberto Centeno, NLP & IR – Universidad Nacional de Educación a Distancia (UNED)
Web address: https://sites.google.com/view/nlp-misinfo-2023/
Contact: Roberto Centeno (email@example.com)