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Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection

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  • Conference paper
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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14163))

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Abstract

The paper gives a brief overview of three shared tasks which have been organized at the PAN 2023 lab on digital text forensics and stylometry hosted at the CLEF 2023 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis, profiling cryptocurrency influencers with few-shot learning, and trigger detection. Authorship verification and multi-author analysis continue and advance from past editions of PAN and influencer profiling and trigger detection are new tasks with novel research questions and evaluation resources. All four tasks alilgn with the goals of all shared tasks at PAN: to advance the state of the art in text forensics and stylometry while ensuring objective evaluation on newly developed benchmark datasets.

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Notes

  1. 1.

    https://pan.webis.de/data.html.

  2. 2.

    https://fold.aston.ac.uk/handle/123456789/17.

  3. 3.

    https://www.reddit.com/.

  4. 4.

    To generate the datasets, we have followed a methodology that complies with the EU General Data Protection Regulation [45].

  5. 5.

    https://zerogravitymarketing.com/the-different-tiers-of-influencers-and-when-to-use-each/.

    https://twitter.com/latermedia/status/1385337617340829701.

    https://izea.com/resources/influencer-tiers/.

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Acknowledgments

The work from Symanto has been partially funded by the Pro\(^2\)Haters - Proactive Profiling of Hate Speech Spreaders (CDTi IDI-20210776), the XAI-DisInfodemics: eXplainable AI for disinformation and conspiracy detection during infodemics (MICIN PLEC2021-007681), the OBULEX - OBservatorio del Uso de Lenguage sEXista en la red (IVACE IMINOD/2022/106), and the ANDHI - ANomalous Diffusion of Harmful Information (CPP2021-008994) R &D grants.

The work of Paolo Rosso was in the framework of the FairTransNLP research project (PID2021-124361OB-C31), funded by MCIN/AEI/10.13039/501100011033 and by ERDF, EU A way of making Europe.

This work has been partially supported by the OpenWebSearch.eu project (funded by the EU; GA 101070014).

Author information

Authors and Affiliations

  1. Bauhaus-Universität Weimar, Weimar, Germany

    Janek Bevendorff, Benno Stein, Matti Wiegmann & Magdalena Wolska

  2. Symanto Research, Valencia, Spain

    Ian Borrego-Obrador, Mara Chinea-Ríos, Marc Franco-Salvador & Francisco Rangel

  3. Friedrich Schiller University Jena, Jena, Germany

    Maik Fröbe

  4. Aston University, Birmingham, UK

    Annina Heini, Krzysztof Kredens & Piotr Pęzik

  5. University of Innsbruck, Innsbruck, Austria

    Maximilian Mayerl & Eva Zangerle

  6. Leipzig University and ScaDS.AI, Leipzig, Germany

    Martin Potthast

  7. Universitat Politècnica de València, Valencia, Spain

    Paolo Rosso

  8. University of the Aegean, Samos, Greece

    Efstathios Stamatatos

Authors
  1. Janek Bevendorff
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  2. Ian Borrego-Obrador
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  3. Mara Chinea-Ríos
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  4. Marc Franco-Salvador
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  5. Maik Fröbe
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  6. Annina Heini
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  7. Krzysztof Kredens
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  8. Maximilian Mayerl
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  9. Piotr Pęzik
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  10. Martin Potthast
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  11. Francisco Rangel
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  12. Paolo Rosso
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  13. Efstathios Stamatatos
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  14. Benno Stein
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  15. Matti Wiegmann
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  16. Magdalena Wolska
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  17. Eva Zangerle
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Corresponding author

Correspondence to Matti Wiegmann .

Editor information

Editors and Affiliations

  1. Democritus University of Thrace, Xanthi, Greece

    Avi Arampatzis

  2. University of Amsterdam, Amsterdam, The Netherlands

    Evangelos Kanoulas

  3. CERTH-ITI, Thessaloniki, Greece

    Theodora Tsikrika

  4. CERTH-ITI, Thessaloniki, Greece

    Stefanos Vrochidis

  5. Utrecht University, Utrecht, The Netherlands

    Anastasia Giachanou

  6. Elsevier, Amsterdam, The Netherlands

    Dan Li

  7. University of Amsterdam, Amsterdam, The Netherlands

    Mohammad Aliannejadi

  8. University of Lausanne, Lausanne, Switzerland

    Michalis Vlachos

  9. University of Padua, Padova, Italy

    Guglielmo Faggioli

  10. University of Padua, Padova, Italy

    Nicola Ferro

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Bevendorff, J. et al. (2023). Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. In: Arampatzis, A., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2023. Lecture Notes in Computer Science, vol 14163. Springer, Cham. https://doi.org/10.1007/978-3-031-42448-9_29

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  • DOI: https://doi.org/10.1007/978-3-031-42448-9_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42447-2

  • Online ISBN: 978-3-031-42448-9

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