A one-class classiﬁcation approach for bot detection on Twitter Journal Pre-proof A one-class classiﬁcation approach for bot detection on Twitter Jorge Rodr´ ıguez-Ruiz, Javier Israel Mata-S ´ anchez, Ra ´ ul Monroy, Octavio Loyola-Gonz ´ alez, Armando L ´ opez-Cuevas PII: S0167-4048(20)30003-1 DOI: https://doi.org/10.1016/j.cose.2020.101715 Reference: COSE 101715 To appear in: Computers & Security Received date: 18 July 2019 Revised date: 20 December 2019 Accepted date: 3 January 2020 Please cite this article as: Jorge Rodr´ ıguez-Ruiz, Javier Israel Mata-S ´ anchez, Ra´ ul Monroy, Octavio Loyola-Gonz ´ alez, Armando L ´ opez-Cuevas, A one-class classiﬁcation approach for bot detec- tion on Twitter, Computers & Security (2020), doi: https://doi.org/10.1016/j.cose.2020.101715 This is a PDF ﬁle of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the deﬁnitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its ﬁnal form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.