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Overview of PAN 2018 [chapter]

Efstathios Stamatatos, Francisco Rangel, Michael Tschuggnall, Benno Stein, Mike Kestemont, Paolo Rosso, Martin Potthast
2018 Lecture Notes in Computer Science  
More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style  ...  PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics.  ...  Acknowledgments Our special thanks go to all of PAN's participants, to Symanto Group 7 for sponsoring PAN and to MeaningCloud 8 for sponsoring the author profiling shared task award.  ... 
doi:10.1007/978-3-319-98932-7_25 fatcat:7kjolzjqzncvfbv3mcxyhfchyu

Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles [article]

Jian Zhu, David Jurgens
2021 arXiv   pre-print
The neural model achieves strong performance at authorship identification on short texts and through an analogy-based probing task, showing that the learned representations exhibit surprising regularities  ...  An individual's variation in writing style is often a function of both social and personal attributes.  ...  Acknowledgements We thank Professor Patrice Beddor, Jiaxin Pei at the University of Michigan and Zuoyu Tian at the University of Indiana Bloomington for their helpful discussions.  ... 
arXiv:2109.03158v2 fatcat:wdpyhxqeuray3jn5ymtsrbh65a

Siamese Networks for Large-Scale Author Identification [article]

Chakaveh Saedi, Mark Dras
2021 arXiv   pre-print
Authorship attribution is the process of identifying the author of a text.  ...  We examine their application to the stylistic task of authorship attribution on datasets with large numbers of authors, looking at multiple energy functions and neural network architectures, and show that  ...  The PAN author attribution task in 2019 changed focus from the previous setups and the setup of the present paper, to focus on cross-domain texts; the task overview (Kestemont et al., 2019) noted that  ... 
arXiv:1912.10616v3 fatcat:has2zgpd2fawrp6b2yk5hhewqa

What demographic attributes do our digital footprints reveal? A systematic review

Joanne Hinds, Adam N. Joinson, David Garcia
2018 PLoS ONE  
Studies were included if they met the following criteria: (i) they reported findings where at least one demographic attribute was predicted/inferred from at least one form of digital footprint, (ii) the  ...  For each of the demographic attributes identified, we provide a database containing the platforms and digital traces examined, sample sizes, accuracy measures and the classification methods applied.  ...  Unsupervised method for the authorship identification task: Notebook for PAN at CLEF 2014. CEUR Workshop Proceedings. 2014. 103.  ... 
doi:10.1371/journal.pone.0207112 pmid:30485305 pmcid:PMC6261568 fatcat:jo2ycsiit5a23drbbpytifn36q