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Identifying offenders on Twitter: A law enforcement practitioner guide
被引:4
作者:
Horsman, Graeme
[1
]
Ginty, Kevin
[1
]
Cranner, Paul
[1
]
机构:
[1] Univ Sunderland, Informat Ctr, St Peters Way, Sunderland SR6 0DD, Durham, England
关键词:
Twitter;
Crime;
Digital forensics;
Offender identification;
Social media;
SOCIAL NETWORK;
ONLINE;
D O I:
10.1016/j.diin.2017.09.004
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Twitter remains one of the most popular social media network sites in use today and continues to attract criticism over the volume of unsavoury and illegal content circulated by its users. When breaches of legislation occur, appropriate officials are left with the task of identifying and apprehending the physical user of an offending account, which is not always a simple task. This article provides a law enforcement practitioner focused analysis of the Twitter platform and associated services for the purposes of offender identification. Using our bespoke message harvesting tool 'Twitterstream', an analysis of the data available via Twitter's Streaming and REST APIs are presented, along with the message metadata which can be gleaned. The process of identifying those behind offending Twitter accounts is discussed in line with available API content and current Twitter data retention policies in order to support law enforcement investigations surrounding this social media platform. (c) 2017 Elsevier Ltd. All rights reserved.
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页码:63 / 74
页数:12
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