05563 am 22005413u 450 991026513020332120200827135921.010.14324/111.9781787351714(CKB)4100000002891502(OAPEN)646337(EXLCZ)99410000000289150220190111d|||| uy enguuuuu---auuuuRegulating Content on Social Media: Copyright, Terms of Service and Technological FeaturesUCL Press20181 online resource (278)1-78735-172-6 1-78735-171-8 I. Regulation on social media; II. Regulation of content-generative behaviours from a copyright perspective; III. Approach; IV. Structure; Notes; Chapter One: Scope of study and a day in the life of Jane Doe; I. Defining social media and user-generated content; II. Choice of social media platforms; III. A day in the life of Jane; IV. Conclusion; Notes; Chapter Two: Regulation by copyright laws; I. Relevant copyright standards; A. Subsistence: works and other subject matter protected by copyright; B. Subsistence: originality; C. Subsistence: authorship; D. Subsistence: fixation, recording or reduction to material form; E. Infringement: scope of protection; F. Infringement: other rights; G. Infringement: remedies; H. Infringement: fair use and fair dealing exceptions; I. Conflict of laws issues; J. Summary; II. Scenario one: the application of copyright laws; A. Jane's use of the music video clip on YouTube as her morning alarm; B. Jane's 'pinning' of the YouTube music video clip on her pin-board titled 'My Favourite Things' on Pinterest; C. Jane's use of Evangeline's earlier commentary on Facebook to create her own commentary; D. Jane's use of multiple photographs of newborn babies available on the pin-boards of other Pinterest users to create a collage to share on Pinterest; E. Jane's simultaneous sharing of the collage on Facebook and Twitter; F. Jane's sharing of the same collage in her blog post on WordPress; G. Zee's contribution to Wikipedia on 'income inequality' using what Jane has written; H. Jane's creation and sharing of a new video clip by way of 'vidding' on YouTube, and subsequently on Facebook; I. Cheryl's use of 'stills' from Jane's video clip as thumbnail images on her website; J. Other users' partial use of Jane's collage to create their own, and sharing the same on Pinterest, Facebook and Twitter; K. Editor Jasper's use of Jane's collage on the cover page of his magazine; III. Conclusion; Notes; Chapter Three: Application of the terms of service; I. Terms of service; A. Ownership and licensing; 1. Facebook; 2. Pinterest; 3. YouTube; 4. Twitter; 5. Wikipedia; 6. Observations; B. Copyright policy; 1. Facebook; 2. Pinterest; 3. YouTube; 4. Twitter; 5. Wikipedia; 6. Observations; C. Indemnification and limitation of liability; 1. Facebook; 2. Pinterest; 3. YouTube; 4. Twitter; 5. Wikipedia; 6. Observations; D. Governing law and jurisdiction; 1. Facebook; 2. Pinterest; 3. YouTube; 4. Twitter; 5. Wikipedia; 6. Observations; E. Summary; II. Scenario two: the application of the terms of service; A. Jane's use of the music video clip on YouTube as her morning alarm.How are users influenced by social media platforms when they generate content, and does this influence affect users’ compliance with copyright laws? These are pressing questions in today’s internet age, and Regulating Content on Social Media answers them by analysing how the behaviours of social media users are regulated from a copyright perspective. Corinne Tan, an internet governance specialist, compares copyright laws on selected social media platforms, namely Facebook, Pinterest, YouTube, Twitter and Wikipedia, with other regulatory factors such as the terms of service and the technological features of each platform. This comparison enables her to explore how each platform affects the role copyright laws play in securing compliance from their users. Through a case study detailing the content generative activities undertaken by a hypothetical user named Jane Doe, as well as drawing from empirical studies, the book argues that – in spite of copyright’s purported regulation of certain behaviours – users are 'nudged' by the social media platforms themselves to behave in ways that may be inconsistent with copyright laws.CopyrightSocial mediaMedia studiesbicsscSales & marketing managementbicsscSales & marketingbicsscMedia, information & communication industriesbicsscLaw & societybicsscLaw as it applies to other professionsbicsscAdvertising, marketing & sponsorship lawbicsscDigital lifestylebicsscSocial networkingbicsscCopyright.Social media.Media studiesSales & marketing managementSales & marketingMedia, information & communication industriesLaw & societyLaw as it applies to other professionsAdvertising, marketing & sponsorship lawDigital lifestyleSocial networkingTan Corinneaut904043BOOK9910265130203321Regulating Content on Social Media: Copyright, Terms of Service and Technological Features2021007UNINA05404nam 22006734a 450 991014356470332120200520144314.09786610549924978128054992212805499209780470052143047005214797804700521360470052139(CKB)1000000000355941(EBL)270468(OCoLC)476004322(SSID)ssj0000192611(PQKBManifestationID)11172124(PQKBTitleCode)TC0000192611(PQKBWorkID)10216687(PQKB)11642544(MiAaPQ)EBC270468(Perlego)2763243(EXLCZ)99100000000035594120060309d2006 uy 0engur|n|---|||||txtccrLinear model theory univariate, multivariate, and mixed models /Keith E. Muller, Paul W. StewartHoboken, N.J. Wiley-Intersciencec20061 online resource (426 p.)Wiley series in probability and statisticsDescription based upon print version of record.9780471214885 0471214884 Includes bibliographical references (p. 393-404) and index.LINEAR MODEL THEORY; Contents; Preface; 1 Matrix Algebra for Linear Models; 1.1 Notation; 1.2 Some Operators and Special Types of Matrices; 1.3 Five Kinds of Multiplication; 1.4 The Direct Sum; 1.5 Rules of Operations; 1.6 Other Special Types of Matrices; 1.7 Quadratic and Bilinear Forms; 1.8 Vector Spaces and Rank; 1.9 Finding Rank; 1.10 Determinants; 1.11 The Inverse and Generalized Inverse; 1.12 Eigenanalysis (Spectral Decomposition); 1.13 Some Factors of Symmetric Matrices; 1.14 Singular Value Decomposition; 1.15 Projections and Other Functions of a Design Matrix1.16 Special Properties of Patterned Matrices1.17 Function Optimization and Matrix Derivatives; 1.18 Statistical Notation Involving Matrices; 1.19 Statistical Formulas; 1.20 Principal Components; 1.21 Special Covariance Patterns; 2 The General Linear Univariate Model; 2.1 Motivation; 2.2 Model Concepts; 2.3 The General Linear Univariate Linear Model; 2.4 The Univariate General Linear Hypothesis; 2.5 Tests about Variances; 2.6 The Role of the Intercept; 2.7 Population Correlation and Strength of Relationship; 2.8 Statistical Estimates; 2.9 Testing the General Linear Hypothesis2.10 Confidence Regions for q2.11 Sufficient Statistics for the Univariate Model; Exercises; 3 The General Linear Multivariate Model; 3.1 Motivation; 3.2 Definition of the Multivariate Model; 3.3 The Multivariate General Linear Hypothesis; 3.4 Tests About Covariance Matrices; 3.5 Population Correlation; 3.6 Statistical Estimates; 3.7 Overview of Testing Multivariate Hypotheses; 3.8 Computing MULTIREP Tests; 3.9 Computing UNIREP Tests; 3.10 Confidence Regions for Q; 3.11 Sufficient Statistics for the Multivariate Model; 3.12 Allowing Missing Data in the Multivariate Model; Exercises4 Generalizations of the Multivariate Linear Model4.1 Motivation; 4.2 The Generalized General Linear Univariate Model: Exact and Approximate Weighted Least Squares; 4.3 Doubly Multivariate Models; 4.4 Seemingly Unrelated Regressions; 4.5 Growth Curve Models (GMANOVA); 4.6 The Relationship of the GCM to the Multivariate Model; 4.7 Mixed, Hierarchical, and Related Models; 5 The Linear Mixed Model; 5.1 Motivation; 5.2 Definition of the Mixed Model; 5.3 Distribution-Free and Noniterative Estimates; 5.4 Gaussian Likelihood and Iterative Estimates; 5.5 Tests about b (Means, Fixed Effects)5.6 Tests of Covariance Parameters, t (Random Effects)Exercises; 6 Choosing the Form of a Linear Model for Analysis; 6.1 The Importance of Understanding Dependence; 6.2 How Many Variables per Independent Sampling Unit?; 6.3 What Types of Variables Play a Role?; 6.4 What Repeated Sampling Scheme Was Used?; 6.5 Analysis Strategies for Multivariate Data; 6.6 Cautions and Recommendations; 6.7 Review of Linear Model Notation; 7 General Theory of Multivariate Distributions; 7.1 Motivation; 7.2 Notation and Concepts; 7.3 Families of Distributions; 7.4 Cumulative Distribution Function7.5 Probability Density FunctionA precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, and Mixed Models presents a unified treatment in order to make clear the distinctions among the three classes of models. Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six chapters dWiley series in probability and statistics.Linear models (Statistics)Linear models (Statistics)519.5Muller Keith E502132Stewart Paul Wilder942456MiAaPQMiAaPQMiAaPQBOOK9910143564703321Linear model theory2126770UNINA