کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6884495 1444268 2017 34 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identifying offenders on Twitter: A law enforcement practitioner guide
ترجمه فارسی عنوان
شناسایی مجرمان در توییتر: یک راهنمای عملیات اجرای قانون
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Investigation - Volume 23, December 2017, Pages 63-74
نویسندگان
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