04315nam 22006975 450 991059503590332120240923205846.09783031070716303107071210.1007/978-3-031-07071-6(CKB)5840000000091670(MiAaPQ)EBC7102158(Au-PeEL)EBL7102158(DE-He213)978-3-031-07071-6(EXLCZ)99584000000009167020220923d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDiscussing the Islamic State on Twitter /by Matteo Colombo, Luigi Curini1st ed. 2022.Cham :Springer International Publishing :Imprint: Palgrave Macmillan,2022.1 online resource (160 pages)Middle East Today,2945-7025Includes index.9783031070709 3031070704 Chapter 1: Introduction -- Chapter 2: The research methodology -- Chapter 3: Detecting the Sentiment towards IS and its evolution -- Chapter 4: A thematic study of the topics in the pro-IS and anti-IS tweets -- Chapter 5: The enemy of my enemy? Hostility and sectarian discourse between pro-IS and anti-IS Arabic-speaking Twitter users -- Chapter 6: Conclusion.This book explores how ordinary Arab-speaking social media users have reacted to propaganda from the Islamic State, rather than how IS propaganda has targeted ordinary users, thus providing a change in perspective in the literature. The authors provide a comprehensive account of the evolution of the Arabic discourse on IS, encompassing all phases of the Caliphate's political evolution, from the apogee of the Islamic State in October 2014 to the loss of its unofficial capital of Raqqa in September 2017. Taking into account key events, the book also considers the most recurrent topics for IS and its opponents who engage in the Twitter conversation. The analysis is based on around 29 million tweets written in the Arabic language, representing a random sample of around one-third of all Arabic tweets referring to IS over the 2014-2017 timeframe. Matteo Colombo is Junior Research Fellow at the Clingendael Institute, The Netherlands, and Associate Research Fellow in the Italian Institute for International Political Studies (ISPI). He obtained a PhD in Political Studies at the University of Milan, Italy. His main interests are in social media, political reforms, jihadism, and energy policy in the Middle East. Luigi Curini is Professor in Political Science in the Department of Social and Political Sciences at the University of Milan, Italy. His research focuses on party competition, comparative politics, quantitative methods, machine learning and text analytics. He has published over 50 articles in international academic peer-reviewed journals such as Comparative Political Studies, Journal of Politics, British Journal of Political Science, European Journal of Political Research, among others. He is also author of seven books and co-editor of The SAGE Handbook of Research Methods in Political Science and International Relations (with Robert J. Franzese, 2020).Middle East Today,2945-7025Middle EastPolitics and governmentCommunication in politicsTerrorismPolitical violenceSocial mediaMiddle Eastern PoliticsPolitical CommunicationTerrorism and Political ViolenceSocial MediaMiddle EastPolitics and government.Communication in politics.Terrorism.Political violence.Social media.Middle Eastern Politics.Political Communication.Terrorism and Political Violence.Social Media.297.14297.272Colombo Matteo743464Curini LuigiMiAaPQMiAaPQMiAaPQBOOK9910595035903321Discussing the Islamic State on Twitter3018474UNINA04494nam 22006015 450 991033757690332120200630071138.03-030-04040-210.1007/978-3-030-04040-6(CKB)4100000007335016(DE-He213)978-3-030-04040-6(MiAaPQ)EBC5628152(PPN)233798854(EXLCZ)99410000000733501620190101d2019 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierHierarchical Perceptual Grouping for Object Recognition Theoretical Views and Gestalt-Law Applications /by Eckart Michaelsen, Jochen Meidow1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XI, 195 p. 100 illus., 9 illus. in color.)Advances in Computer Vision and Pattern Recognition,2191-65863-030-04039-9 Introduction -- Reflection Symmetry -- Good Continuation in Rows or Frieze Symmetry -- Rotational Symmetry -- Closure – Hierarchies of Gestalten -- Search -- Illusions -- Prolongation in Good Continuation -- Parallelism and Rectangularity -- Lattice Gestalten -- Primitive Extraction -- Knowledge and Gestalt Interaction -- Learning -- Appendix A: General Adjustment Model with Constraints.This unique text/reference presents a unified approach to the formulation of Gestalt laws for perceptual grouping, and the construction of nested hierarchies by aggregation utilizing these laws. The book also describes the extraction of such constructions from noisy images showing man-made objects and clutter. Each Gestalt operation is introduced in a separate, self-contained chapter, together with application examples and a brief literature review. These are then brought together in an algebraic closure chapter, followed by chapters that connect the method to the data – i.e., the extraction of primitives from images, cooperation with machine-readable knowledge, and cooperation with machine learning. Topics and features: Offers the first unified approach to nested hierarchical perceptual grouping Presents a review of all relevant Gestalt laws in a single source Covers reflection symmetry, frieze symmetry, rotational symmetry, parallelism and rectangular settings, contour prolongation, and lattices Describes the problem from all theoretical viewpoints, including syntactic, probabilistic, and algebraic perspectives Discusses issues important to practical application, such as primitive extraction and any-time search Provides an appendix detailing a general adjustment model with constraints This work offers new insights and proposes novel methods to advance the field of machine vision, which will be of great benefit to students, researchers, and engineers active in this area. Dr.-Ing. Eckart Michaelsen is a researcher at the Object Recognition Department of Fraunhofer IOSB, Ettlingen, Germany. Dr.-Ing. Jochen Meidow is a researcher at the Scene Analysis Department of the same institution.Advances in Computer Vision and Pattern Recognition,2191-6586Pattern perceptionRemote sensingArchitectureGroup theoryPattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XRemote Sensing/Photogrammetryhttps://scigraph.springernature.com/ontologies/product-market-codes/J13010Architecture, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/K0000XGroup Theory and Generalizationshttps://scigraph.springernature.com/ontologies/product-market-codes/M11078Pattern perception.Remote sensing.Architecture.Group theory.Pattern Recognition.Remote Sensing/Photogrammetry.Architecture, general.Group Theory and Generalizations.006.4006.4Michaelsen Eckartauthttp://id.loc.gov/vocabulary/relators/aut1060300Meidow Jochenauthttp://id.loc.gov/vocabulary/relators/autBOOK9910337576903321Hierarchical Perceptual Grouping for Object Recognition2512317UNINA