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Record W3211738629

How Do Canadian Generation Y Consumers Use Social Media Websites

2021· article· en· W3211738629 on OpenAlexaboutno aff
Allen Lim Chong Guan, Goi Chai Lee, Peter Dell

Bibliographic record

VenueAcademy of Marketing Studies journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsSocial mediaThe InternetAdvertisingPsychologyInternet privacySociologyBusinessWorld Wide WebComputer science
DOInot available

Abstract

fetched live from OpenAlex

In Canada, Generation Y is an extremely socially engaged group. The purpose of this study is to examine the social media habits of Canadian Generation Y customers. Generation Y is synonymous with social media use, and the researcher is interested in learning more about what they do on social media in general. These folks utilize social media on a regular basis to interact with their friends and loved ones, as well as to research information and learn new things. This study examines what Canadian Generation Y consumers believe about security and privacy when they use social media platforms such as Facebook and Twitter. Being that such a large amount of information has been made available on social media, the researcher is interested in knowing whether the interview subjects have any security or privacy concerns and if so what those issues are. On average, 60 percent of those who responded to the questionnaire study spent 1 to 100 hours each month on the Internet, according to the information gathered through the questionnaire survey. Approximately three-quarters of those who answered the survey said they spend between 1 and 20% of their Internet time shopping. Ninety-three percent of those who answered the survey said Facebook was their preferred social media platform, with YouTube coming in second with 87 percent.

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)0.004
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.098
GPT teacher head0.354
Teacher spread0.256 · 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.

Study designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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