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A strong, useful theoretical foundation for performance assessment and prediction relies on four components: preliminary observation of a system, identification of key or dominating variables in the system, synthetic and vertical thinking, and successive refinement.

Purpose – This chapter demonstrates the power that Google, Apple, Facebook, Amazon and Microsoft (or the “GAFAM”) exercise over platforms within society, highlights the alt-right’s use of GAFAM sites and services as a platform for hate, and examines GAFAM’s establishment and use of hate content moderation apparatuses to de-platform alt-right users and delete hate content. Approach – Drawing upon a political economy of communications approach, this chapter demonstrates GAFAM’s power in society. It also undertakes a reading of GAFAM “terms of service agreements” and “community guidelines” documents to identify GAFAM hate content moderation apparatuses. Findings – GAFAM are among the most powerful platforms in the world, and their content moderation apparatuses are empowered by the US government’s cyber-libertarian approach to Internet law and regulation. GAFAM are defining hate speech, deciding what’s to be done about it, and censoring it. Value – This chapter probes GAFAM’s hate content moderation apparatuses for Internet platforms, and shows how GAFAM enable and constrain the alt-right’s hate speech on their platforms. It also reflexively assesses the politics of empowering GAFAM to de-platform the alt-right.

This chapter is about online hate speech propagated via platforms operated by social media companies (SMCs). It examines the options open to states in forcing SMCs to take responsibility for the hateful content that appears on their sites. It examines the technological and legal context for imposing legal obligations on SMCs, and analyses initiatives in Germany, the United Kingdom, the European Union and elsewhere. It argues that while SMCs can play a role in controlling online hate speech, there are limitations to what they can achieve.

In recent years, aceted search has been a well-accepted approach for many academic libraries across the United States. This chapter is based on the author’s dissertation and work of many years on faceted library catalogs. Not to hope to be exhaustive, the author’s aim is to provide sufficient depth and breadth to offer a useful resource to researchers, librarians, and practitioners about faceted search used in library catalogs.

The chapter reviews different aspects of faceted search used in academic libraries, from the theory, the history, to the implementation. It starts with the history of online public access catalogs (OPACs) and how people search with OPACs. Then it introduces the classic facet theory and its relationship with faceted search. At last, various academic research projects on faceted search, especially faceted library catalogs, are briefly reviewed. These projects include both implementation studies and the evaluation studies.

The results indicate that most searchers were able to understand the concept of facets naturally and easily. Compared to text searches, however, faceted searches were complementary and supplemental, and used only by a small group of searchers.

The author hopes that the facet feature has not only been cosmetic but the answer to the call for the next generation catalog for academic libraries. The results of this research are intended to inform librarians and library information technology (IT) staff to improve the effectiveness of the catalogs to help people find information they need more efficiently.