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CORDIS - Résultats de la recherche de l’UE
CORDIS

WIDER AND ENHANCED VERIFICATION FOR YOU

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

WeVerify Open Platform and Benchmark Evaluation v2.0 (s’ouvre dans une nouvelle fenêtre)

This software deliverable is the implementation of the WeVerify distributed verification platform and its accompanying software documentation It consists of several key components developed in WPs 4 5 and 6 as well as the content ingestion tools developed in T41 In addition the deliverable will have an accompanying report detailing results from scalability throughput and robustness evaluations Version 20 will be the first integrated prototype of key technologies and tools Scalability of the algorithms from WP5 will be achieved by utilising Storm or a similar streaming framework for continuous processing of new incoming content

Cross-modal verification tools - v2 (s’ouvre dans une nouvelle fenêtre)

This will be an update of the verification framework following its integration and testing on top of the platform The update will contain both extensions and new implementations as well as refinements of the previous implementations based on feedback collected from the first evaluation cycles

User-Facing WeVerify Tools v1 (s’ouvre dans une nouvelle fenêtre)

This will be the first release of the professional-oriented WeVerify workbench by ATC, coupled with the design and functional specification of the citizen-oriented digital companion by USFD. This will be tested in the first round of pilot activities.

Cross-modal verification tools - v1 (s’ouvre dans une nouvelle fenêtre)

his will be the first release of the verification framework, including the definition of the necessary APIs, and first versions of the individual services. The prototype implementation will be accompanied by a report documenting the implemented approaches, their usage, and presenting evaluation results on existing benchmark datasets.

Disinformation Flow Analysis: Tools and Methodology v.2 (s’ouvre dans une nouvelle fenêtre)

This will be the updated release of D61 with refined tools and approaches to analysing the flow of disinformation across social networks coupled with a prototype of the early warning system

"Blockchain Database of ""Known Fakes"" v1.0" (s’ouvre dans une nouvelle fenêtre)

This software deliverable will be the result of the implementation of a blockchain distributed ledger that records known fakes The decentralized architecture will be demonstrated by the participation of at least three partners in the blockchain network We will also deliver the methodology for recording transactions in the blockchain through the implementation of appropriate hashing functions for text images and media to be combined with the identity of the verification agent eg a journalist or media organisation A suitable approach to granting user permissions to write in the blockchain will also be implemented according to the type of ledger that will be chosen by the consortium permissioned permissionless publicprivate

User-Facing WeVerify Tools v2 (s’ouvre dans une nouvelle fenêtre)

An updated release of D71 with the second fully functional release of the WeVerify workbench by ATC the user interface for searching the decentralised database on known fakes ONTO and the first functional prototype of the digital verification companion USFD This will be available for testing in the second round of pilot activities

WeVerify Open Platform and Benchmark Evaluation v1.0 (s’ouvre dans une nouvelle fenêtre)

This software deliverable is the implementation of the WeVerify distributed verification platform and its accompanying software documentation. It consists of several key components, developed in WPs 4, 5, and 6, as well as the content ingestion tools developed in T4.1. In addition, the deliverable will have an accompanying report, detailing results from scalability, throughput, and robustness evaluations. Version 1.0 will be released early in the project and will contain the software tools for collecting content from the sources detailed in T4.1. Since data collection underpins all technical and use case WPs, it is essential to address it early in the project.

WeVerify Open Platform and Benchmark Evaluation v3.0 (s’ouvre dans une nouvelle fenêtre)

This software deliverable is the implementation of the WeVerify distributed verification platform and its accompanying software documentation It consists of several key components developed in WPs 4 5 and 6 as well as the content ingestion tools developed in T41 In addition each deliverable will have an accompanying report detailing results from scalability throughput and robustness evaluations Version 30 will integrate further results from WPs 45 and 6 as well as enable crossmedia processing and result storage as well as any changes arising from the use cases WP3 and community pilots WP8 There will be extensive documentation and example code to facilitate takeup

User-Facing WeVerify Tools - Final Version (s’ouvre dans une nouvelle fenêtre)

This deliverable will comprise the final release of the three sets of useroriented WeVerify tools and their documentation following the feedback obtained from the largescale pilot activities

Disinformation Flow Analysis: Tools and Methodology - Final Version (s’ouvre dans une nouvelle fenêtre)

This will be the final release of the Disinformation Flow Analysis framework including crossnetwork analysis and advanced visualisations in order to build a complete view of disinformation flows

Cross-modal verification tools - final version (s’ouvre dans une nouvelle fenêtre)

This will be the final version of the verification framework following extensive evaluation and testing on top of the integrated platform The final version will incorporate improvements and updates based on the results that will have been collected from the last cycles of testing and evaluation

Dissemination Activities Report. v.2 (s’ouvre dans une nouvelle fenêtre)

The report will inform about all activities that were carried out in the respective reporting periods

"Blockchain Database of ""Known Fakes"" v2.0" (s’ouvre dans une nouvelle fenêtre)

This software deliverable will be the result of the implementation of a blockchain distributed ledger that records known fakes The decentralized architecture will be demonstrated by the participation of at least three partners in the blockchain network We will also deliver the methodology for recording transactions in the blockchain through the implementation of appropriate hashing functions for text images and media to be combined with the identity of the verification agent eg a journalist or media organisation A suitable approach to granting user permissions to write in the blockchain will also be implemented according to the type of ledger that will be chosen by the consortium permissioned permissionless publicprivate

WeVerify Use Case Analysis Report (s’ouvre dans une nouvelle fenêtre)

This report will describe the different settings where the platform is foreseen to be used and provide concrete user stories and scenarios.

Dissemination Activities Report. v.1 (s’ouvre dans une nouvelle fenêtre)

The report will inform about all activities that were carried out in the respective reporting periods

Disinformation Flow Analysis: Tools and Methodology v.1 (s’ouvre dans une nouvelle fenêtre)

This will be the first release of the disinformation flow analysis framework to perform network-based disinformation flow analysis, following the work package objectives. We will also define mapping and visualisation objectives of this methodology and relate these to best practice in content verification and misinformation flow analysis.

Final Evaluation Report (s’ouvre dans une nouvelle fenêtre)

This report will present the outcomes of the second phase evaluation activities also providing an overview of progress achieved during the whole project

WeVerify Architecture Definition (s’ouvre dans une nouvelle fenêtre)

This report will define the architecture and its APIs (Application Programming Interfaces), design decisions, evaluation and unit testing, release schedule, and deployment targets.

Publications

Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network (s’ouvre dans une nouvelle fenêtre)

Auteurs: Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
Publié dans: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Page(s) 840-844
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2146

Adapting text mining tools to noisy text (s’ouvre dans une nouvelle fenêtre)

Auteurs: Maynard, Diana
Publié dans: Invited talk given at Text Mining for Science Studies Workshop, Numéro 4, 2019
Éditeur: Zenodo
DOI: 10.5281/zenodo.3609868

Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning (s’ouvre dans une nouvelle fenêtre)

Auteurs: Pavlos Avgoustinakis; Giorgos Kordopatis-Zilos; Symeon Papadopoulos; Andreas L. Symeonidis; Ioannis Kompatsiaris
Publié dans: ICPR, Numéro 2, 2020, Page(s) 5828-5835
Éditeur: IEEE
DOI: 10.1109/icpr48806.2021.9413056

Measuring What Counts: The case of Rumour Stance Classification

Auteurs: Scarton, Carolina; Silva, Diego F.; Bontcheva, Kalina
Publié dans: Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020, Page(s) 925-932
Éditeur: Association for Computational Linguistics

Adding value to NLP: a little semantics goes a long way (s’ouvre dans une nouvelle fenêtre)

Auteurs: Maynard, Diana
Publié dans: Keynote talk presented at ESWC 2019, 2019
Éditeur: Zenodo
DOI: 10.5281/zenodo.3609847

Context Aggregation and Analysis: A Tool for User-Generated Video Verification

Auteurs: Olga Papadopoulou; Dimitrios Giomelakis; Lazaros Apostolidis; Symeon Papadopoulos; Ioannis Kompatsiaris
Publié dans: Proceedings of the Workshop on Reducing Online Misinformation Exposure ROME 2019, 2019
Éditeur: ROME2019

Knowledge-Based Fusion for Image Tampering Localization (s’ouvre dans une nouvelle fenêtre)

Auteurs: Chryssanthi IakovidouSymeon Papadopoulos, Yiannis Kompatsiaris
Publié dans: IFIP Advances in Information and Communication Technology, Numéro vol. 583, 2020, Page(s) 177-188, ISBN 978-3-030-49161-1
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-49161-1_16

WeVerify: Wider and Enhanced Verification for You Project Overview and Tools (s’ouvre dans une nouvelle fenêtre)

Auteurs: Zlatina Marinova, Jochen Spangenberg, Denis Teyssou, Symeon Papadopoulos, Nikos Sarris, Alexandre Alaphilippe, Kalina Bontcheva
Publié dans: IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2020, ISBN 978-1-7281-1485-9
Éditeur: IEEE
DOI: 10.1109/icmew46912.2020.9106056

Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation (s’ouvre dans une nouvelle fenêtre)

Auteurs: Giorgos Kordopatis-Zilos; Panagiotis Galopoulos; Symeon Papadopoulos; Ioannis Kompatsiaris
Publié dans: ICMR, Numéro 1, 2021, Page(s) 155-163
Éditeur: ACM
DOI: 10.1145/3460426.3463644

Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis (s’ouvre dans une nouvelle fenêtre)

Auteurs: Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva
Publié dans: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, 2019, Page(s) 115-120
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/d19-3020

Cross-Lingual Rumour Stance Classification: a First Study with BERT and Machine Translation

Auteurs: Carolina Scarton, Yue Li
Publié dans: Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), 2021, Page(s) 50-59, ISBN 978-1-7359904-0-8
Éditeur: Hacks Hackers

Tackling Multilinguality and Internationality in Fake News

Auteurs: Andrey Tagarev, Krasimira Bozhanova, Ivelina Nikolova-Koleva, Ivan Ivanov
Publié dans: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021, Page(s) 1380-1386
Éditeur: INCOMA Ltd.

MeVer team tackling Coronavirus and 5G conspiracy using ensemble classification based on BERT

Auteurs: Olga Papadopoulou, Giorgos Kordopatis-Zilos, Symeon Papadopoulos
Publié dans: Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Éditeur: CEUR workshop proceedings

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning (s’ouvre dans une nouvelle fenêtre)

Auteurs: Kordopatis-Zilos, Giorgos; Papadopoulos, Symeon; Patras, Ioannis; Kompatsiaris, Ioannis
Publié dans: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Page(s) 6351-6360
Éditeur: IEEE/CVF
DOI: 10.5281/zenodo.3615769

Revisiting Rumour Stance Classification: Dealing with Imbalanced Data

Auteurs: Yue Li, Carolina Scarton
Publié dans: Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM), 2020
Éditeur: Association for Computational Linguistics

Leveraging Selective Prediction for Reliable Image Geolocation (s’ouvre dans une nouvelle fenêtre)

Auteurs: Panagiotopoulos, A., Kordopatis-Zilos, G., & Papadopoulos, S.
Publié dans: 28th International Conference on Multimedia Modeling, 2021
Éditeur: ArXiv.org
DOI: 10.48550/arxiv.2111.11952

Brenda Starr at SemEval-2019 Task 4: Hyperpartisan News Detection (s’ouvre dans une nouvelle fenêtre)

Auteurs: Olga Papadopoulou, Giorgos Kordopatis-Zilos, Markos Zampoglou, Symeon Papadopoulos, Yiannis Kompatsiaris
Publié dans: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Page(s) 924-928
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2157

Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task (s’ouvre dans une nouvelle fenêtre)

Auteurs: Charitidis, Polychronis; Kordopatis-Zilos, Giorgos; Papadopoulos, Symeon; Kompatsiaris, Ioannis
Publié dans: Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), Numéro 1, 2020, Page(s) 44-54, ISBN 978-1-7359904-0-8
Éditeur: Hacks Hackers 2020
DOI: 10.48550/arxiv.2006.07084

Operation-wise Attention Network for Tampering Localization Fusion (s’ouvre dans une nouvelle fenêtre)

Auteurs: Charitidis, P., Kordopatis-Zilos, G., Papadopoulos, S., & Kompatsiaris, I.
Publié dans: 2021 International Conference on Content-Based Multimedia Indexing (CBMI), 2021, Page(s) 1-6, ISBN 978-1-6654-4220-6
Éditeur: IEEE
DOI: 10.1109/cbmi50038.2021.9461920

Multistage BiCross encoder for multilingual access to COVID-19 health information. (s’ouvre dans une nouvelle fenêtre)

Auteurs: Iknoor Singh; Carolina Scarton; Kalina Bontcheva
Publié dans: PLOS ONE, Numéro 2, 2021, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0256874

FIVR: Fine-Grained Incident Video Retrieval (s’ouvre dans une nouvelle fenêtre)

Auteurs: Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris
Publié dans: IEEE Transactions on Multimedia, Numéro 21/10, 2019, Page(s) 2638-2652, ISSN 1520-9210
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMM.2019.2905741

Classification aware neural topic model for COVID-19 disinformation categorisation. (s’ouvre dans une nouvelle fenêtre)

Auteurs: Xingyi Song; Johann Petrak; Johann Petrak; Ye Jiang; Iknoor Singh; Iknoor Singh; Diana Maynard; Kalina Bontcheva
Publié dans: PLoS ONE, Numéro 4, 2021, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0247086

Online Abuse of UK MPs from 2015 to 2019: Working Paper (s’ouvre dans une nouvelle fenêtre)

Auteurs: Greenwood, M.A.; Bakir, M.E.; Gorrell, G.; Song, X.; Roberts, I.; Bontcheva, K.
Publié dans: arXiv, Numéro 2, 2019
Éditeur: University of Sheffield
DOI: 10.5281/zenodo.4081280

Race and Religion in Online Abuse towards UK Politicians: Working Paper (s’ouvre dans une nouvelle fenêtre)

Auteurs: Gorrell, G.; Bakir, M.E.; Greenwood, M.A.; Roberts, I.; Bontcheva, K.
Publié dans: arXiv, Numéro 2, 2019
Éditeur: University of Sheffield
DOI: 10.5281/zenodo.4081270

Categorising fine-to-coarse grained misinformation : an empirical study of COVID-19 infodemic

Auteurs: Jiang, Y.; Song, X.; Scarton, C.; Aker, A.; Bontcheva, K.
Publié dans: arXiv, Numéro 2, 2021, ISSN 2331-8422
Éditeur: ArXiv.org

The false COVID-19 narratives that keep being debunked : a spatiotemporal analysis (s’ouvre dans une nouvelle fenêtre)

Auteurs: Singh, I.; Bontcheva, K.; Scarton, C.
Publié dans: arXiv, Numéro 2, 2021
Éditeur: White Rose Research Online
DOI: 10.48550/arxiv.2107.12303

DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval (s’ouvre dans une nouvelle fenêtre)

Auteurs: Kordopatis-Zilos, Giorgos; Tzelepis, Christos; Papadopoulos, Symeon; Kompatsiaris, Ioannis; Patras, Ioannis
Publié dans: Numéro 3, 2021
Éditeur: ArXiv.org
DOI: 10.48550/arxiv.2106.13266

Verification of News Video Content: Findings from a Study of Journalism Students (s’ouvre dans une nouvelle fenêtre)

Auteurs: Dimitrios Giomelakis; Olga Papadopoulou; Symeon Papadopoulos; Andreas Veglis
Publié dans: Journalism Practice, Numéro 1, 2021, ISSN 1751-2794
Éditeur: Taylor & Francis Online
DOI: 10.1080/17512786.2021.1965905

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