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My name is legion: estimating author counts based on stylistic diversity
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)In: 2016 European intelligence and security informatics conference (EISIC) / [ed] Brynielsson J., Johansson F., IEEE , 2016, p. 108-111Conference paper, Published paper (Refereed)
Abstract [en]

Online propaganda is a growing concern. Fraudulent users write under multiple signatures to give the impression that the opinions they promote are more widespread than they really are, or held by a different demography. The problem as such is not new, but it is becoming increasingly organised and therefore has effects on a larger scale. In this work, we develop methods for assessing the true number of authors of a body of work, to detect artificially inflated user sets. The assessments are based on stylistic richness, here measured as the number of unique features (e.g., words or syntactic fragments) divided by the sum of all features. Initial results suggest that the order of magnitude can be reliable estimated. It is for example possible to differentiate the works of hundreds and thousands of writers.

Place, publisher, year, edition, pages
IEEE , 2016. p. 108-111
Series
European Intelligence and Security Informatics Conference, ISSN 2572-3723
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-140667DOI: 10.1109/EISIC.2016.028ISI: 000411272300018ISBN: 978-1-5090-2857-3 (print)OAI: oai:DiVA.org:umu-140667DiVA, id: diva2:1149497
Conference
Conference on European Intelligence and Security Informatics Conference (EISIC), AUG 17-19, 2016, Uppsala, Sweden
Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2018-11-14Bibliographically approved

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Bjorklund, JohannaZechner, Niklas

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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