Conference Paper/Proceeding/Abstract 311 views 95 downloads
Trust-Based Classification in Community Policing: A Systematic Review
2023 IEEE International Symposium on Technology and Society (ISTAS)
Swansea University Author: Deepak Sahoo
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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1109/istas57930.2023.10306181
Abstract
In recent times, many studies have identified trust as a propeller of community policing for enhancing security and safety. However, this essential aspect of community policing has not been properly classified. This has resulted in ambiguity and misunderstanding of the trust being referred to in com...
Published in: | 2023 IEEE International Symposium on Technology and Society (ISTAS) |
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ISBN: | 979-8-3503-2487-7 979-8-3503-2486-0 |
ISSN: | 2158-3404 2158-3412 |
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IEEE
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64051 |
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v2 64051 2023-08-08 Trust-Based Classification in Community Policing: A Systematic Review c7b57876957049ac9718ff1b265fb2ce 0000-0002-4421-7549 Deepak Sahoo Deepak Sahoo true false 2023-08-08 MACS In recent times, many studies have identified trust as a propeller of community policing for enhancing security and safety. However, this essential aspect of community policing has not been properly classified. This has resulted in ambiguity and misunderstanding of the trust being referred to in community policing context. To cover this gap, this research carried out a systematic review of three scientific journal databases using PRISMA protocol which produced 16 document results after excluding 20,270 studies that didn't meet our criteria. Consequently, community policing trusts were identified and categorized in terms of technology-based trust (TbT), Human-to-Human Trust (HtHT) and Trust for both humans and technology (TbHT). Also, the research further established three themes for improving trust in community policing. In the end, this study has established the significant effect of different categories of trust as it supports community policing. More so, while this research informs on work that has been done on trust and community policing overtime, it provides distinct and comparable terms for future Human Computer Interaction (HCI) research. Conference Paper/Proceeding/Abstract 2023 IEEE International Symposium on Technology and Society (ISTAS) 0 IEEE 979-8-3503-2487-7 979-8-3503-2486-0 2158-3404 2158-3412 Human computer interaction; Systematics; Protocols; Propellers; Databases; Surveillance; Safety 7 11 2023 2023-11-07 10.1109/istas57930.2023.10306181 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-10-04T13:56:37.1186479 2023-08-08T11:37:39.2966797 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Otuu Obinna Ogbonnia 1 Joseph Henry Anajemba 0000-0002-1199-7446 2 Aguboshim Felix Chkwuma 3 Deepak Sahoo 0000-0002-4421-7549 4 64051__28260__aade251b44a8402fabf09022413cb5d2.pdf 64051.pdf 2023-08-08T11:39:22.9263372 Output 330252 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/2.0/deed.en |
title |
Trust-Based Classification in Community Policing: A Systematic Review |
spellingShingle |
Trust-Based Classification in Community Policing: A Systematic Review Deepak Sahoo |
title_short |
Trust-Based Classification in Community Policing: A Systematic Review |
title_full |
Trust-Based Classification in Community Policing: A Systematic Review |
title_fullStr |
Trust-Based Classification in Community Policing: A Systematic Review |
title_full_unstemmed |
Trust-Based Classification in Community Policing: A Systematic Review |
title_sort |
Trust-Based Classification in Community Policing: A Systematic Review |
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c7b57876957049ac9718ff1b265fb2ce |
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c7b57876957049ac9718ff1b265fb2ce_***_Deepak Sahoo |
author |
Deepak Sahoo |
author2 |
Otuu Obinna Ogbonnia Joseph Henry Anajemba Aguboshim Felix Chkwuma Deepak Sahoo |
format |
Conference Paper/Proceeding/Abstract |
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2023 IEEE International Symposium on Technology and Society (ISTAS) |
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publishDate |
2023 |
institution |
Swansea University |
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979-8-3503-2487-7 979-8-3503-2486-0 |
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2158-3404 2158-3412 |
doi_str_mv |
10.1109/istas57930.2023.10306181 |
publisher |
IEEE |
college_str |
Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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description |
In recent times, many studies have identified trust as a propeller of community policing for enhancing security and safety. However, this essential aspect of community policing has not been properly classified. This has resulted in ambiguity and misunderstanding of the trust being referred to in community policing context. To cover this gap, this research carried out a systematic review of three scientific journal databases using PRISMA protocol which produced 16 document results after excluding 20,270 studies that didn't meet our criteria. Consequently, community policing trusts were identified and categorized in terms of technology-based trust (TbT), Human-to-Human Trust (HtHT) and Trust for both humans and technology (TbHT). Also, the research further established three themes for improving trust in community policing. In the end, this study has established the significant effect of different categories of trust as it supports community policing. More so, while this research informs on work that has been done on trust and community policing overtime, it provides distinct and comparable terms for future Human Computer Interaction (HCI) research. |
published_date |
2023-11-07T13:56:36Z |
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1811988188208562176 |
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11.035634 |