MétaCan
Menu
Back to cohort
Record W2300547832 · doi:10.1177/1461444815616222

Online news, civic awareness, and engagement in civic and political life

2015· article· en· W2300547832 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNew Media & Society · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsMacEwan University
FundersMacEwan University
KeywordsCivic engagementPoliticsNews mediaVotingDemocracyPolitical scienceSocial mediaSocial engagementPublic engagementThe InternetPublic relationsSociologyAdvertisingMedia studiesBusiness

Abstract

fetched live from OpenAlex

The Internet has transformed access to the news with most citizens in western democracies having access at their fingertips. This study examines how youth consume news online highlighting news consumption through social networking sites and other online sources. This study uses two-wave longitudinal survey data of young people to examine how online news affects civic awareness and engagement in civic and political life. The findings suggest that online news will have minimal direct effect on civic and political engagement. Instead, the effects of online news are indirect. Online news increases civic awareness, which indirectly affects engagement. The indirect effects of online news are more pronounced for voting and boycotting, compared with signing petitions. Online news may be able to address participation inequalities between younger and older citizens by building civic awareness among youth and indirectly affecting participation in civic and political life.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.103
GPT teacher head0.366
Teacher spread0.263 · 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