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Record W6990244974

Defining News: A Ten-Nation Perspective

2016· article· en· W6990244974 on OpenAlexaboutno aff

Bibliographic record

VenueSan José State University ScholarWorks (San Jose State University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsNews valuesNews mediaSeekersPerspective (graphical)Social mediaThe InternetValue (mathematics)Power (physics)
DOInot available

Abstract

fetched live from OpenAlex

Worldwide, the consumption of news and information is greater than ever before. But twenty years of Internet news and a decade of social media have permanently altered the patterns of behaviors associated with how consumers look for news and even how they perceive what ‘news’ is for them. As the media landscape changes and old approaches no longer fit, it may be time to re-assess the fundamental definition of “news.” Traditional news values have been defined and extensively studied by Western researchers, but little attention has been paid to the correspondence of these definitions of news with consumers’ behavior in different countries. The challenge of defining “news” is complicated by the fact that almost any event has some news value in an age of niche-news. More importantly, the process by which news is defined has changed because of a shift in the locus of power to distribute information. In traditional media, professional journalists (especially editors and publishers) have had disproportionate power to define what constituted “news.” But social media are shifting the locus that defines news from journalists to the public, with “news” becoming whatever a person chooses to share with others, and “newsworthy” being measured by the degree to which a story is shared and reshared. The most significant impact of this shift in the locus of power to define news is the potential transformation of news consumers from comparatively passive receivers of news distributed by traditional news organizations on predictable schedules to active seekers of news and information whose appetite is whetted by the morsels of information distributed through social media. This study addresses these questions with a survey of news consumers in ten countries (Canada, Chile, India, Mexico, Thailand, Russia, Ukraine, United Kingdom, United States, Venezuela). This inquiry begins with an exploration of traditional news values, then proposes a set of hypotheses designed to test the correspondence of these journalistic values with those of news consumers in general and specific groups of news consumers in the ten countries selected for this study. The analysis then compares two dimensions of news values, conceptual dimensions of newsworthiness (proximity, prominence, novelty, etc.) and self-reported consumption of specific news stories of varying global prominence. The findings of this study have the potential to impact the newsroom by steering editors toward specific content that has a stronger interest among news consumers. At a time when people depend on information technologies such as smartphones to the point of addiction, patterns of news consumption are in flux around the world. As a result, it may be necessary for scholars to re-think what values are important in the modern news age. At the heart of this inquiry is the basic question of whether there is a common set of “news values” for news consumers around the world, or whether patterns vary by country or culture. In the process, this study also addresses the fundamental question of whether news consumers have the same “news values” as journalists, or whether news consumers have a different concepts and operationalization of news.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0110.019
Scholarly communication0.0160.027
Open science0.0010.006
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2016
Admission routes1
Has abstractyes

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