Edinburgh Research Explorer Predicting Online Islamophobic Behavior after #ParisAttack Citation for published version: Darwish, K, Magdy, W, Rahimi, A, Abukhodair, N & Baldwin, T 2017, 'Predicting Online Islamophobic Behavior after #ParisAttack', Journal of Web Science, vol. 3, no. 1. <http://webscience- journal.net/webscience/article/view/39> Link: Link to publication record in Edinburgh Research Explorer Document Version: Peer reviewed version Published In: Journal of Web Science General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact
[email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 04. Oct. 2021 Predicting Online Islamophobic Behavior after #ParisAttacks Kareem Darwish Qatar Computing Research Institute, Hamad bin Khalifa University, Doha, Qatar
[email protected] Walid Magdy School of Informatics, The University of Edinburgh, UK
[email protected] Afshin Rahimi,Timothy Baldwin Dept. of Computing and Information Systems, The University of Melbourne, Australia {arahimi, tbaldwin}@unimelb.edu.au Norah Abokhodair The Information School, University of Washington, Seattle, USA
[email protected] ABSTRACT with 82% macro F-measure, even in the absence of prior The tragic Paris terrorist attacks of November 13, 2015 mentions of Islam, Muslims, or related terms.