Mark Bauerlein, author of the National Endowment for the Humanities report "Reading at Risk," argues that computers are one of the reasons kids don't read, and why the humanities are at risk. Part of Notable Lectures & Performances series, Colorado College. Recorded September 14, 2006.
This paper explores the sociological implications of Instagram influencers, and the estimated 1-billion-dollar influencer industry. Building from Bourdieu’s field theory and concept of capital, I suggest that beauty capital is the dominant form of capital operating in the influencer field. Beauty, as well as an aestheticized Instagram feed, allows influencers to work with brands and to expand their Instagram followings, elevating the influencer to micro-celebrity status. Influencers work in a mutually beneficial relationship with brands, each one promoting each other. The relationship between influencer and brand represents a pattern of reflexive accumulation and blurring of lines between individuals and businesses. Given that beauty capital is the central theme of this study, changing beauty standards on Instagram are explored. Personal beauty is, in fact, the dominant element featured in influencers’ Instagram feeds rather than discussions of their interior selves. In this study, I will argue that in the internet age beauty is a greater asset than ever before.
Brazil’s economic growth has significantly increased the size of its’ middle class, also called class C. Among, the many factors that are allowing this phenomenon to happen, the Internet is relevant since it opens doors and gives new opportunities to a group that for decades have been in the outskirts of society. There is extensive literature that links the Internet to growth and development. The Solow Growth Model supports this idea since technological change spurs growth to a new steady-state, allowing higher purchase power and better living standards. Due to the nature of the model causality problems were a possibility. Hence, the current study utilized the Structural Equation Modeling (SEM) adapted from Roeller and Waverman’s study to solve for endogeneity.
The Dot-Com bubble of the late 1990s offers insight into the mentality of investors and money managers. The goal of this paper is to design a model utilizing fundamental valuation variables and determine its effectiveness at predicting price changes in U.S. equities during the 1996-2000 Dot-Com bubble. A successful model will provide insight into how investors can best navigate the turbulent financial waters brought on by the boom of a financial bubble and the following decline once the bubble has burst.