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Record W2158631842 · doi:10.1108/17578041311315030

Social media and policing: matching the message to the audience

2013· article· en· W2158631842 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSafer Communities · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsSocial mediaPsychologyService (business)PerceptionAdvertisingBusinessComputer scienceWorld Wide WebMarketing

Abstract

fetched live from OpenAlex

Purpose This research aimed to explore the characteristics of respondents who accessed a municipal police service's webpage or social media (Facebook or Twitter). Perceptions about the usefulness of social media in policing were solicited from the respondents. Design/methodology/approach Several survey items about social media were included in a study of trust and confidence in policing that was collected in two waves: a random telephone sample of 504 community residents and 314 university students. Findings One in five respondents had accessed the police service's webpage, while 6.9 percent had accessed their Twitter feed and 5.4 percent had viewed their Facebook site. Social media users tended to be younger and better educated while respondents over 65 years of age rarely accessed these tools. Younger respondents reported that computer‐based methods of communication were useful whether they had accessed these services or not. Older non‐users, by contrast, saw little future value in social media. Chi‐square analyses revealed that users of social media had more confidence in the police as well as greater overall satisfaction with the police. Research limitations/implications Participants were from a medium‐sized Canadian city and the results might not be generalizable to other populations. Practical implications Social media campaigns should be planned and target demographic groups likely to receive the intended message. Younger and better educated residents are the highest users of these services. Computer‐based media campaigns targeting senior citizens will likely be ineffective given their low participation in accessing social media and lack of interest in these methods of communication. Originality/value This study is one of the first to examine the recipients of social media and their perceptions of the usefulness of computer‐based communication for law enforcement.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
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 head0.099
GPT teacher head0.366
Teacher spread0.267 · 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