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Record W1617199189 · doi:10.58729/1941-6679.1035

Perceptions and Use of Anonymous Communication across Cultures

2015· article· en· W1617199189 on OpenAlexaboutno aff
Guido Lang, Tamilla Mavlanova

Bibliographic record

VenueJournal of international technology and information management · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsConversationAnonymityPerceptionnobodySocial psychologySet (abstract data type)Internet privacyPsychologyPolitical scienceLawComputer securityCommunication

Abstract

fetched live from OpenAlex

We use social networks to communicate, keep in touch and express our opinions in a manner that has become completely ubiquitous. However, this very ubiquity and ease of expression have exposed another, contentious side – one where nobody can remain completely anonymous for long and where every conversation is stored in perpetuity. Some fear that the ephemeral quality of a social interaction has been lost, which threatens our right to be forgotten and freedom of expression. In this paper, we look at why people engage in anonymous communication, and if there is a perceived need for legal protection of anonymous communication. Moreover, this paper attempts to identify cultural stratifications, if any, in the ways in which people of various cultures perceive the importance of anonymous communications. The primary cultural clusters we studied are Anglo (e.g. Australia, Canada, England, USA) and Eastern European (e.g. Albania, Bulgaria, Moldova, Russia). Our data set consists of 374 responses to our survey from people belonging to these cultures. We found that perceived freedom afforded by anonymous communication and propensity to trust are both positively related to use of anonymous communication, which in turn is positively related to perceived need for legal protection of anonymous communication. Moreover, we found that the relationship between propensity to trust and use of anonymous communication is stronger for respondents in the Eastern Europe cultural cluster than for respondents in non-Eastern Europe cultural clusters.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.112

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.362
Teacher spread0.332 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2015
Admission routes1
Has abstractyes

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