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Record W1865469173

Challenges to Freedom of Expression in the Digital World: Lessons from WikiLeaks and the Arab Spring

2012· article· en· W1865469173 on OpenAlexaff
Arne Hintz

Bibliographic record

VenueORCA Online Research @Cardiff (Cardiff University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransparency (behavior)Civil societySocial mediaPolitical scienceExpression (computer science)IntermediaryFreedom of expressionFreedom of the pressPublic relationsCensorshipPolitical economyLaw and economicsPublic administrationSociologyLawHuman rightsPoliticsBusinessComputer science
DOInot available

Abstract

fetched live from OpenAlex

Two recent developments – the WikiLeaks releases and the Arab Spring – have demonstrated the capacities of individuals and movements in advancing free expression, transparency and social change through the use of online and social media. However they have also highlighted new sets of challenges and threats that interfere with, and restrict, such media uses. In this article I will present an analytical framework for understanding and investigating these contemporary restrictions to freedom of expression, based on the dimensions of information control, access to infrastructure, critical resources and applications, surveillance, and physical repression. The model takes into account current trends such as the use of intermediaries in control regimes, and provides a global perspective that incorporates restrictions in both East and West. Further, I will outline how free expression advocates and civil society campaigns, such as the Icelandic Modern Media Initiative (IMMI), have contested these practices, and discuss whether their agendas confirm the issue areas highlighted above. The restrictions to, and the advocacy for, free online communication demonstrate some of the key struggles and contestations on freedom of expression in the current digital media environment, the strategic points of intervention by different actors (states, businesses, and civil society), and the requirements for “modern freedom of expression”. Keywords: Freedom of Expression, WikiLeaks, Arab Spring *** Résumé : Deux développements récents – les communiqués de WikiLeaks et le Printemps Arabe – ont démontré les capacités des individus et des mouvements de faire avancer la liberté d'expression, la transparence et le changement social grâce à l'utilisation des médias en ligne et sociaux. Cependant, ils ont également mis en évidence de nouveaux défis et menaces qui interfèrent avec et restreignent les utilisations des médias. Dans cet article, j’ai élaboré un cadre analytique pour rendre compréhensible et analyser ces restrictions contemporaines de la liberté d'expression, sur la base des dimensions suivantes : contrôle de l'information, accès aux infrastructures, aux ressources et applications critiques, surveillance et répression physique. Le modèle prend en compte les tendances actuelles telle que le recours à des intermédiaires dans les régimes de contrôle et fournit une perspective globale qui intègre les restrictions à la fois à l'Est et à l'Ouest. De plus, j’ai mis en exergue la manière dont les défenseurs de la libre expression et des campagnes de la société civile, telle que l'initiative islandaise des médias modernes (IMMI), ont contesté ces pratiques de contrôle. Les restrictions à la communication et le plaidoyer en faveur de la communication libre démontrent les luttes et contestations clés sur la liberté d'expression dans l'environnement médiatique numérique actuel, les points stratégiques d'intervention de différents acteurs (Etats, entreprises et société civile), et les exigences relatives à la « liberté d'expression moderne ». Mots-clés : liberté d’expression, WikiLeaks, Printemps Arabe

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)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.049
Scholarly communication0.0180.020
Open science0.0010.009
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.093
GPT teacher head0.359
Teacher spread0.266 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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