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Shedding Light on Terrorist and Extremist Content Removal

Isabelle van der Vegt, Paul Gill, Stuart Macdonald Orcid Logo, Bennett Kleinberg

Swansea University Author: Stuart Macdonald Orcid Logo

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Abstract

Social media and tech companies face the challenge of identifying and removing terrorist and extremist content from their platforms. This paper presents the findings of a series of interviews with Global Internet Forum to Counter Terrorism (GIFCT) partner companies and law enforcement Internet Refer...

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Published: 2019
Online Access: https://gnet-research.org/2020/01/07/shedding-light-on-terrorist-and-extremist-content-removal/
URI: https://cronfa.swan.ac.uk/Record/cronfa51011
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last_indexed 2021-08-25T03:12:04Z
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spelling 2021-08-24T14:21:24.2145654 v2 51011 2019-07-04 Shedding Light on Terrorist and Extremist Content Removal 933e714a4cc37c3ac12d4edc277f8f98 0000-0002-7483-9023 Stuart Macdonald Stuart Macdonald true false 2019-07-04 HRCL Social media and tech companies face the challenge of identifying and removing terrorist and extremist content from their platforms. This paper presents the findings of a series of interviews with Global Internet Forum to Counter Terrorism (GIFCT) partner companies and law enforcement Internet Referral Units (IRUs). It offers a unique view on current practices and challenges regarding content removal, focusing particularly on human-based and automated approaches and the integration of the two. ResearchReportExternalBody Counterterrorism, propaganda, terrorism, extremism, regulation 4 7 2019 2019-07-04 https://gnet-research.org/2020/01/07/shedding-light-on-terrorist-and-extremist-content-removal/ COLLEGE NANME Hillary Rodham Clinton Law School COLLEGE CODE HRCL Swansea University 2021-08-24T14:21:24.2145654 2019-07-04T13:46:12.7944966 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Isabelle van der Vegt 1 Paul Gill 2 Stuart Macdonald 0000-0002-7483-9023 3 Bennett Kleinberg 4 0051011-04072019134906.pdf SheddingLight.pdf 2019-07-04T13:49:06.6130000 Output 990413 application/pdf Version of Record true 2019-07-04T00:00:00.0000000 Released under the terms of a Creative Commons Attribution – Non-Commercial – No-Derivatives 4.0 International Licence (CC-BY-NC-ND). true eng
title Shedding Light on Terrorist and Extremist Content Removal
spellingShingle Shedding Light on Terrorist and Extremist Content Removal
Stuart Macdonald
title_short Shedding Light on Terrorist and Extremist Content Removal
title_full Shedding Light on Terrorist and Extremist Content Removal
title_fullStr Shedding Light on Terrorist and Extremist Content Removal
title_full_unstemmed Shedding Light on Terrorist and Extremist Content Removal
title_sort Shedding Light on Terrorist and Extremist Content Removal
author_id_str_mv 933e714a4cc37c3ac12d4edc277f8f98
author_id_fullname_str_mv 933e714a4cc37c3ac12d4edc277f8f98_***_Stuart Macdonald
author Stuart Macdonald
author2 Isabelle van der Vegt
Paul Gill
Stuart Macdonald
Bennett Kleinberg
format ResearchReportExternalBody
publishDate 2019
institution Swansea University
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law
url https://gnet-research.org/2020/01/07/shedding-light-on-terrorist-and-extremist-content-removal/
document_store_str 1
active_str 0
description Social media and tech companies face the challenge of identifying and removing terrorist and extremist content from their platforms. This paper presents the findings of a series of interviews with Global Internet Forum to Counter Terrorism (GIFCT) partner companies and law enforcement Internet Referral Units (IRUs). It offers a unique view on current practices and challenges regarding content removal, focusing particularly on human-based and automated approaches and the integration of the two.
published_date 2019-07-04T13:48:43Z
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score 11.048042

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