Journal article
Locality‐based social media: The impact of content consumption and creation on perceived neighborhood crime, safety, and offline crime prevention
Journal of Community Psychology, Vol.52(7), pp.895-909
2024
PMID: 39056475
Abstract
Locality‐based social media (LBSM) allow members of the community to exchange news, connect with local people, and raise awareness of problems such as crime. This study aims to better understand the influence of LBSM on perceptions of community crime, safety, and crime prevention. Drawing on survey data from 1000 Australians, we assess the extent to which frequency of exposure to crime on LBSM and intensity of engagement on LBSM influence perceptions of crime, safety, and offline crime prevention behaviors. LBSM content creators perceive less crime and feel safer compared to individuals who only consume content on LBSM. Creators of content are also more likely than consumers to engage in offline crime prevention action. Our findings highlight the need to encourage more balanced engagement across all members of community social media. Smaller groups that contain only local residents may be best suited to achieve this outcome.
Details
- Title
- Locality‐based social media: The impact of content consumption and creation on perceived neighborhood crime, safety, and offline crime prevention
- Authors
- Renee Zahnow (Corresponding Author) - The University of QueenslandNaomi Smith (Author) - University of the Sunshine Coast, Queensland, School of Law and Society
- Publication details
- Journal of Community Psychology, Vol.52(7), pp.895-909
- Publisher
- John Wiley & Sons, Inc.
- Date published
- 2024
- DOI
- 10.1002/jcop.23135
- ISSN
- 1520-6629
- PMID
- 39056475
- Copyright note
- © 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
- Data Availability
- All data and models are available from the authors on request.
- Organisation Unit
- School of Law and Society
- Language
- English
- Record Identifier
- 991052198802621
- Output Type
- Journal article
Metrics
11 File views/ downloads
88 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Psychology, Multidisciplinary
- Public, Environmental & Occupational Health
- Social Work
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: SDGs from InCites