1,721,029 research outputs found
Media Genealogy| The Future of Critique: Mark Andrejevic on Power/Knowledge and the Big Data-Driven Decline of Symbolic Efficiency
Mark Andrejevic, Associate Professor at Pomona College, and J.J. Sylvia, Ph.D. student in the Communication Rhetoric and Digital Media Program at North Carolina State University, discusses the impact of the neo-materialist turn for media studies and the importance of critiquing surveillance through the theoretical framework of power in addition to that of privacy. Although the decline of symbolic efficiency, brought on at least in part by the rise of big data, seems to disrupt the link that Michel Foucault draws between power and knowledge, Andrejevic considers possibilities for reimagining the knowledge structures associated with big data’s infrastructure.
Mark Andrejevic: iSpy. Surveillance and Power in the Interactive Era.: University Press of Kansas, Kansas 2007, 325 s.
A review of the book by Mark Andrejevic
Education In an Era of Pervasive Automation
This article presents a conversation with Professor Mark Andrejevic and Neil Selwyn - focusing on Mark's book Automated Media (Andrejevic 2020).
Mark and Neil talk through some of the main arguments that are developed in Automated Media, and consider how these are beginning to play out through the forms of automation that are now beginning to emerge in schools, universities, and other education contexts.</p
Rethinking Privacy and Freedom of Expression in the Digital Era: An Interview with Mark Andrejevic
Mark Andrejevic, Professor of Media Studies at the Pomona College in Claremont, California, is a distinguished critical theorist exploring issues around surveillance from pop culture to the logic of automated, predictive surveillance practices. In an interview with WPCC issue co-editor Pinelopi Troullinou, Andrejevic responds to pressing questions emanating from the surveillant society looking to shift the conversation to concepts of data holders’ accountability. He insists on the need to retain awareness of power relations in a data driven society highlighting the emerging challenge, ‘to provide ways of understanding the long and short term consequences of data driven social sorting’. Within the context of Snowden’s revelations and policy responses worldwide he recommends a shift of focus from discourses surrounding ‘pre-emption’ to those of ‘prevention’ also questioning the notion that citizens might only need to be concerned, ‘if we are doing something “wrong”’ as this is dependent on a utopian notion of the state and commercial processes, ‘that have been purged of any forms of discrimination’. He warns of multiple concerns of misuse of data in a context where ‘a total surveillance society looks all but inevitable’. However, the academy may be in a unique position to provide ways of reframing the terms of discussions over privacy and surveillance via the analysis of ‘the long and short term consequences of data driven social sorting (and its automation)’ and in particular of algorithmic accountability
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
South African nation branding and the World Cup: promoting nationalism, nation branding, and the miracle nation discourse
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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