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Record W2117424492 · doi:10.1145/1385569.1385578

Exploring blog archives with interactive visualization

2008· article· en· W2117424492 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsComputer scienceVisualizationWorld Wide WebSocial mediaExploratory researchHuman–computer interactionUsabilityMicrobloggingMultimediaInformation retrievalData mining

Abstract

fetched live from OpenAlex

Browsing a blog archive is currently not well supported. Users cannot gain an overview of a blog easily, nor do they receive adequate support for finding potentially interesting entries in the blog. To overcome these problems, we developed a visualization tool that offers a new way to browse a blog archive. The main design principles of the tool are twofold. First, a blog should provide a rich overview to help users reason about the blog at a glance. Second, a blog should utilize social interaction history preserved in the archive to ease exploration and navigation. The tool was evaluated using a tool-specific questionnaire and the Questionnaire for User Interaction Satisfaction. Responses from the participants confirmed the utility of the design principles: the user satisfaction was high, supported by a low error rate in the given tasks. Qualitative feedback revealed that the decision to select which entry to read was multidimensional, involving factors such as the topic, the posting time, the length, and the number of comments on an entry. We discuss the implications of these findings for the design of navigational support for blogs, in particular to facilitate exploratory tasks.

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.

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: Methods · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.196

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 head0.110
GPT teacher head0.305
Teacher spread0.195 · 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

Quick stats

Citations52
Published2008
Admission routes1
Has abstractyes

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