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Record W1021170409 · doi:10.3233/ip-2010-0210

The Cult of the Amateur: how today's internet is killing our culture, by Andrew Keen

2010· article· en· W1021170409 on OpenAlexaff
Reviewed by Michael Hoechsmann

Bibliographic record

VenueInformation Polity · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsMcGill University
Fundersnot available
KeywordsAmateurCultThe InternetMedia studiesSociologyPolitical scienceLawComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This is not a fair book, and I'm proud of the fact that it's not fair.It's designed to open a fair conversation about Web 2.0".That is how Andrew Keen described his own book, 'The cult of the amateur: how today's internet is killing our culture ', during Google Talk 2007 in Mountain View, California [12].This book both demonstrates the way the internet has evolved and highlights the problems and challenges that go along with the evolution of the internet.Keen's main message is basically this: the democratisation of media has created a new media landscape, in which the place for the serious 'old media', such as newspapers, is shrinking.Bloggers writing their own news, web-users suggesting sites on Digg.com and self-proclaimed experts adding articles to Wikipedia dominate the web nowadays.These expanding amateur-media create a culture of mediocrity, where a truly good artist or journalist does not stand out of the crowd.According to Keen, the increase in quantity of information thus causes a decrease in quality of information, thereby corrupting our culture and bringing down the expert institutions, such as professional journalism, novel writing and the music industry, which traditionally safeguard our societal values.Now, how does Keen structure his argument?On the first page of his book the author summarises the digital revolution as 'ignorance meets egoism meets bad taste meets mob rule.[. . .] On steroids.' [12, p. 1].Keen then argues that on the internet anyone can publish anything, generally being of poor quality.'For today's amateur monkeys can use their networked computers to publish everything from uninformed political commentary, to unseemly home videos, to embarrassingly amateurish music, to unreadable poems, reviews, essays and novels.' [12, p. 3].By now, it is clear to the reader that Keen finds this 'infinite desire for personal attention' (2007: 7) a highly objectionable development.He then devotes the majority of his book (chapters 1-7) to convincing the reader of problems that arise as a result of this democratisation of information.He points out that 'our cultural standards and moral values are at stake ' [12, p. 7] and connects this to the assertion that 'the very traditional institutions that have helped to foster and create our news, our music, our literature, our television shows, and our movies are under assault as well ' [12, p. 7].Indeed, Keen minutely exposes several fundamental problems arising on the internet: throughout the book, the reader witnesses the appearance of untrustworthy, morally objectionable and culturally debatable content, such as the worldwide spreading of home videos via You Tube, as well as criminal behaviour like identity theft, copyright violations, illegal online gambling and sexual predation.By going beyond general statements about these topics and stating real cases and statistics, Keen succeeds in convincing the reader of the seriousness of the described societal problems.In the final chapter (ch.8) he makes an effort to come up with solutions to these problems, such as more control and regulation provided by traditional political institutions and website administrators.Keen for example refers to Citizendium, a Wikipedia-like initiative where content is provided by citizens and with two principles safeguarding the quality of information.Firstly, all contributions are verified by a board of expert editors.Secondly, the editors' credentials can be checked upon, because their real names and CVs are published on the Citizendium website.By pointing to solutions like these, Keen manifests himself as an advocate for constructive use of the safeguards technology has to offer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.012
Scholarly communication0.0140.022
Open science0.0010.005
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.269
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2010
Admission routes1
Has abstractyes

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