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Record W2524608089 · doi:10.18438/b8w34c

Users Engage More with Interface than Materials at Welsh Newspapers Online Website

2016· article· en· W2524608089 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2016
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsNewspaperWorld Wide WebAnalyticsWelshVisitor patternPage viewWeb analyticsComputer scienceSocial mediaDocumentationWeb pageAdvertisingWeb navigationWeb developmentData scienceGeographyStatic web pageBusiness

Abstract

fetched live from OpenAlex

A Review of: Gooding, P. (2016). Exploring the information behaviour of users of Welsh Newspapers Online through web log analysis. Journal of Documentation, 72(2), 232-246. doi:10.1108/JD-10-2014-0149 Objective – This study has two specific objectives: to learn about the behaviours of visitors to the Welsh Newspapers Online (WNO) website, and to explore how the identified behaviours are different from those common to information-seeking in a physical archive. Design – Analysis of Google Analytics and web server content logs. Setting – Welsh Newspapers Online website: http://newspapers.library.wales Subjects – WNO had 19,805 unique visitors from 12 March 2013 to 30 June 2013, who made 52,767 visits to the site. Methods – Gooding accessed the WNO Google Analytics account, which provided visitor numbers, user engagement by page visit and visit duration, bounce rate, and mobile and social media usage. Using anonymized processed content logs provided by the National Library of Wales, he then explored searches undertaken by users on the website; instances where users browsed, filtered, or otherwise interacted with search results; and instances where users viewed content. Main Results – Google Analytics statistics showed users of WNO demonstrate behaviour that is “deeper and more sustained than general web browsing” (p. 237). The number of visitors who only viewed one page and then left the site (bounce rate) was low, while page views and time spent on the site were higher than considered standard on general websites. Mobile users made up 11% of visits, although on average they viewed fewer pages and stayed for less time than non-mobile users. Screen size was directly correlated to the level of engagement. There were 9% of visitors referred via social media, but generally showed a low engagement rate similar to that of mobile users; the exception was users who were directed to WNO via blogging platforms. Web log analysis showed visitors most frequently accessed newspapers from the 1840s and 1850s. They viewed the title page much more frequently than any other page in the newspapers, likely reflecting that the title page is default when users access a paper via browsing. A correlation between time spent on the site and searching versus engaging with content was found: the longer a visitor was on WNO, the less time they spent searching, and the more time spent engaging with content. Still, as Gooding reports, “over half of all pageviews are dedicated to interacting with the web interface rather than the historical sources” (p. 240). Conclusion – WNO visitors spend more of their time interacting with the site’s interface than with digitized content, making it important that interface design be a high priority when designing online archives. Gooding concludes that despite a focus on interface, visitors are still engaged in a research process similar to that found in an offline archive and that “a differently remediated experience is not necessarily any less rich” (p. 242).

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.874

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 communication0.0010.411
Open science0.0010.000
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 head0.010
GPT teacher head0.232
Teacher spread0.221 · 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