dc.contributor.author | Pinandhita, Johannes Bregas | de |
dc.contributor.author | Basir, Basir S. | de |
dc.contributor.author | Prianggono, Jarot | de |
dc.date.accessioned | 2025-02-03T12:10:09Z | |
dc.date.available | 2025-02-03T12:10:09Z | |
dc.date.issued | 2024 | de |
dc.identifier.issn | 2413-9009 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/99625 | |
dc.description.abstract | The COVID-19 pandemic in the era of Industry 4.0 has fueled the spread of misinformation and disinformation on social media. Unregulated discussions and the 24-hour news cycle have facilitated HOAXes, often aimed at inciting public unrest. This phenomenon has led to a lack of trust in the validity of Covid-19 information, contributing to the rise in cases. Consequently, the government cannot address this issue alone and requires support from law enforcement. This study examines the problem from a police science perspective, proposing digital policing (e-policing) as a solution to identify and address circulating HOAXes. The Indonesian National Police's Priority Program (PRESISI) outlines an innovative approach by introducing the Polisinyo Urang Sawahlunto (PUAS) application. This research uses a qualitative approach to analyse the relevant findings, including interviews, observations, and literature reviews. The results show that: 1) The spread of HOAX information via social media within the Sawahlunto Police's jurisdiction is still widespread; 2) The PUAS application's HOAX checker feature can identify HOAXes related to COVID-19, helping the police gather valid information to share with the public; 3) However, when analysed through management theory, the application's implementation still lacks fulfilment of the Man, Money, Method, and Machines components. As a result, PUAS has not yet been fully implemented and requires further development. | de |
dc.language | en | de |
dc.subject.ddc | Publizistische Medien, Journalismus,Verlagswesen | de |
dc.subject.ddc | News media, journalism, publishing | en |
dc.subject.other | HOAX; Application; E-Policing; COVID-19 | de |
dc.title | Application of Information Technology in Identifying HOAX Information Circulating on Social Media Related to the COVID-19 Pandemic by the Sawahlunto Police Cyber Patrol Team | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.identifier.url | https://pathofscience.org/index.php/ps/article/view/3397/1633 | de |
dc.source.journal | Path of Science | |
dc.source.volume | 10 | de |
dc.publisher.country | MISC | de |
dc.source.issue | 12 | de |
dc.subject.classoz | interaktive, elektronische Medien | de |
dc.subject.classoz | Interactive, electronic Media | en |
dc.subject.classoz | Wirkungsforschung, Rezipientenforschung | de |
dc.subject.classoz | Impact Research, Recipient Research | en |
dc.subject.thesoz | Soziale Medien | de |
dc.subject.thesoz | social media | en |
dc.subject.thesoz | Desinformation | de |
dc.subject.thesoz | disinformation | en |
dc.subject.thesoz | Falschmeldung | de |
dc.subject.thesoz | false report | en |
dc.subject.thesoz | Polizei | de |
dc.subject.thesoz | police | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10094228 | |
internal.identifier.thesoz | 10063936 | |
internal.identifier.thesoz | 10063949 | |
internal.identifier.thesoz | 10040018 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 2033-2044 | de |
internal.identifier.classoz | 1080404 | |
internal.identifier.classoz | 1080407 | |
internal.identifier.journal | 1570 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 070 | |
dc.identifier.doi | https://doi.org/10.22178/pos.112-20 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.dda.reference | https://pathofscience.org/index.php/index/oai/@@oai:ojs.pathofscience.org:article/3397 | |
ssoar.urn.registration | false | de |