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.
引用
收藏
页码:63 / 74
页数:12
相关论文
共 50 条
  • [21] FITNet: Identifying Fashion Influencers on Twitter
    Han J.
    Chen Q.
    Jin X.
    Xu W.
    Yang W.
    Kumar S.
    Zhao L.
    Sundaram H.
    Kumar R.
    Proceedings of the ACM on Human-Computer Interaction, 2021, 5 (CSCW1)
  • [22] Law Enforcement with a Democratic Government
    Langlais, Eric
    Obidzinski, Marie
    AMERICAN LAW AND ECONOMICS REVIEW, 2017, 19 (01) : 162 - 201
  • [23] The pharmacy residency program guide to Twitter
    Webb, Andrew J.
    Margetak, Danielle
    Schramm, Garrett E.
    Mordino, Jason
    JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, 2021, 4 (04): : 507 - 513
  • [24] LEARNING FROM LAW ENFORCEMENT
    Dusek, Libor
    Traxler, Christian
    JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION, 2022, 20 (02) : 739 - 777
  • [25] Law enforcement with motivated agents
    Yahagi, Ken
    INTERNATIONAL REVIEW OF LAW AND ECONOMICS, 2021, 66
  • [26] Law enforcement and political misinformation
    Yamaguchi, Yohei
    Yahagi, Ken
    JOURNAL OF THEORETICAL POLITICS, 2024, 36 (01) : 3 - 36
  • [27] Identifying Victim Blaming Language in Discussions about Sexual Assaults on Twitter
    Suvarna, Ashima
    Bhalla, Grusha
    Kumar, Shailender
    Bhardwaj, Ashi
    11TH INTERNATIONAL CONFERENCE ON SOCIAL MEDIA & SOCIETY (SMSOCIETY'), 2020, : 156 - 163
  • [28] Mapping the Dutch vaccination debate on Twitter: Identifying communities, narratives, and interactions
    Lutkenhaus, Roel O.
    Jansz, Jeroen
    Bouman, Martine P. A.
    VACCINE: X, 2019, 1
  • [29] Understanding the Radical Mind: Identifying Signals to Detect Extremist Content on Twitter
    Nouh, Mariam
    Nurse, Jason R. C.
    Goldsmith, Michael
    2019 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI), 2019, : 98 - 103
  • [30] The Multiple Facets of Influence: Identifying Political Influentials and Opinion Leaders on Twitter
    Dubois, Elizabeth
    Gaffney, Devin
    AMERICAN BEHAVIORAL SCIENTIST, 2014, 58 (10) : 1260 - 1277