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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.
social networking --- social media --- internet --- copyright law
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This open access volume constitutes the refereed proceedings of the 27th biennial conference of the German Society for Computational Linguistics and Language Technology, GSCL 2017, held in Berlin, Germany, in September 2017, which focused on language technologies for the digital age. The 16 full papers and 10 short papers included in the proceedings were carefully selected from 36 submissions. Topics covered include text processing of the German language, online media and online content, semantics and reasoning, sentiment analysis, and semantic web description languages.
semantics --- artificial intelligence --- natural language processing systems --- natural language processing --- NLP --- machine learning --- social networking --- named entities --- support vector machines --- SVM
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