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
  • [11] Identifying people with dementia on Twitter
    Talbot, Catherine
    O'Dwyer, Siobhan
    Clare, Linda
    Heaton, Janet
    Anderson, Joel
    DEMENTIA-INTERNATIONAL JOURNAL OF SOCIAL RESEARCH AND PRACTICE, 2020, 19 (04): : 965 - 974
  • [12] Identifying wildlife observations on twitter
    Edwards, Thomas
    Jones, Christopher B.
    Corcoran, Padraig
    ECOLOGICAL INFORMATICS, 2022, 67
  • [13] Twitter and the press: two narratives on the 'law Wert'
    Berna Sicilia, Celia
    Perez Diaz, Pedro Luis
    Arroyas Langa, Enrique
    HISTORIA Y COMUNICACION SOCIAL, 2014, 19 : 689 - 705
  • [14] Twitter for professional use in electrophysiology: practical guide for #EPeeps
    Linz, Dominik
    Garcia, Rodrigue
    Guerra, Federico
    Kommata, Varvara
    Bollmann, Andreas
    Duncker, David
    EUROPACE, 2021, 23 (08): : 1192 - 1199
  • [15] A Guide for Purposive Sampling on Twitter
    Sibona, Christopher
    Walczak, Steven
    Baker, Elizabeth White
    COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2020, 46 (46): : 537 - 559
  • [16] Multicriteria techniques applied to social media in public sector: the use of Twitter by different law enforcement authorities profiles
    Guijarro, Ester
    Santandreu Mascarell, Cristina
    Canos Daros, Lourdes
    Diez Somavilla, Rebeca
    Babiloni Grinon, Eugenia
    REVISTA LATINA DE COMUNICACION SOCIAL, 2018, 73 (13): : 1412 - 1427
  • [17] Identifying Personality Traits for Indonesian User from Twitter Dataset
    Jeremy, Nicholaus Hendrik
    Prasetyo, Cristian
    Suhartono, Derwin
    INTERNATIONAL JOURNAL OF FUZZY LOGIC AND INTELLIGENT SYSTEMS, 2019, 19 (04) : 283 - 289
  • [18] Identifying Diseases, Drugs, and Symptoms in Twitter
    Jimeno-Yepes, Antonio
    MacKinlay, Andrew
    Han, Bo
    Chen, Qiang
    MEDINFO 2015: EHEALTH-ENABLED HEALTH, 2015, 216 : 643 - 647
  • [19] An examination of gaming platform policies for law enforcement support
    Threadgall, Ruth
    Horsman, Graeme
    DIGITAL INVESTIGATION, 2019, 31
  • [20] Law enforcement activities in Italy
    Barbagli, M
    Sartori, L
    JOURNAL OF MODERN ITALIAN STUDIES, 2004, 9 (02) : 161 - 185