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Analysis of institutional authors

Oliva CAuthorLago-Fernández LfAuthorArroyo DAuthor

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August 15, 2022
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Proceedings Paper
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Improving LSTMs' under-performance in Authorship Attribution for short texts

Publicated to: EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference. 99-101 - 2022-06-15 (), DOI: 10.1145/3528580.3532994

Authors: Oliva C; Palmero Muñoz S; Lago-Fernández LF; Arroyo D

Affiliations

CSIC - Instituto de Tecnologías Físicas y de la Información Leonardo Torres Quevedo (ITEFI) - Author
Universidad Autónoma de Madrid - Author

Abstract

We present a novel approach for conducting authorship attribution over tweets using Long-Short Term Memory networks (LSTMs). Vanilla LSTMs use the last hidden state for prediction. Our strategy introduces a mechanism based on Max Pooling to process all the hidden states simultaneously, which helps the model to better detect authors' stylometry. We obtain a 4% accuracy improvement with respect to vanilla LSTMs.

Keywords

Authorship attributionLstmStylometry

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-12-13:

  • Scopus: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-13:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 6 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://repositorio.uam.es/handle/10486/711229

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (OLIVA MOYA, CHRISTIAN) and Last Author (ARROYO GUARDEÑO, DAVID).