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Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection

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Part of the Lecture Notes in Computer Science book series (LNCS, volume 12260)

Abstract

We briefly report on the four shared tasks organized as part of the PAN 2020 evaluation lab on digital text forensics and authorship analysis. Each tasks is introduced, motivated, and the results obtained are presented. Altogether, the four tasks attracted 230 registrations, yielding 83 successful submissions. This, and the fact that we continue to invite the submissions of software rather than its run output using the TIRA experimentation platform, marks for a good start into the second decade of PAN evaluations labs.

Notes

Acknowledgments

We thank Symanto for sponsoring the ex aequo award for the two best performing systems at the author profiling shared task of this year on Profiling fake news spreaders on Twitter. The work of Paolo Rosso was partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018–096212-B-C31). The work of Anastasia Giachanou is supported by the SNSF Early Postdoc Mobility grant under the project Early Fake News Detection on Social Media, Switzerland (P2TIP2_181441).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Bauhaus-Universität WeimarWeimarGermany
  2. 2.Symanto ResearchNurembergGermany
  3. 3.Universitat Politècnica de ValènciaValenciaSpain
  4. 4.University of AntwerpAntwerpBelgium
  5. 5.Leipzig UniversityLeipzigGermany
  6. 6.University of InnsbruckInnsbruckAustria
  7. 7.University of the AegeanSamosGreece

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