The phenomena of epidemic crime, deepfakes, fake news, and the role of forensic linguistics

被引:1
|
作者
Simon, Urmosne Gabriella [1 ]
Nyitrai, Endre [1 ]
机构
[1] Univ Publ Serv, Budapest, Hungary
来源
INFORMACIOS TARSADALOM | 2021年 / 12卷 / 04期
关键词
deepfake; fake news; epidemic crime; linguistics; linguistic fingerprint;
D O I
10.22503/inftars.XXI.2021.4.5
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The present study analyses the phenomena of deepfakes and fake news, together with their linguistic fingerprints, to understand how these may influence the public, including in their decision making. Nowadays, linguistic fingerprints are present mostly in digital forms; therefore, forensic linguistics was also recently introduced as a subject and involves the analysis of linguistic fingerprints. The present study provides an insight into the contribution of linguist and forensic linguist experts in the work of investigative authorities. Linguistic fingerprints can convey messages and provide evidence to support an investigation, such concerning the following questions: Who could the perpetrator be? Who could have written the message? The linguist expert can also help develop a profile of perpetrators, including their likely age, sex, ethnicity, or help prove the validity of news versus fake news as well as other attributes of sources. These aspects are all covered in the present study.
引用
收藏
页码:86 / 101
页数:16
相关论文
共 50 条
  • [1] Automated Fake News Detection Using Computational Forensic Linguistics
    Moura, Ricardo
    Sousa-Silva, Rui
    Cardoso, Henrique Lopes
    [J]. PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021), 2021, 12981 : 788 - 800
  • [2] DeepFakes: The Next Challenge in Fake News Detection
    Garcia-Ull, Francisco Jose
    [J]. ANALISI-QUADERNS DE COMUNICACIO I CULTURA, 2021, (64): : 103 - 120
  • [3] Forensic Linguistics in the Light of Crime Investigation
    Ramezani, Farshad
    Sani, Arefeh Khosousi
    Moghadam, Kathayoun
    [J]. PERTANIKA JOURNAL OF SOCIAL SCIENCE AND HUMANITIES, 2016, 24 (01): : 375 - 384
  • [4] Zika's fake news epidemic
    Brainard, Jeffrey
    [J]. SCIENCE, 2018, 360 (6394) : 1155 - 1155
  • [5] Fighting the Fake: A Forensic Linguistic Analysis to Fake News Detection
    Rui Sousa-Silva
    [J]. International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique, 2022, 35 : 2409 - 2433
  • [6] Fighting the Fake: A Forensic Linguistic Analysis to Fake News Detection
    Sousa-Silva, Rui
    [J]. INTERNATIONAL JOURNAL FOR THE SEMIOTICS OF LAW-REVUE INTERNATIONALE DE SEMIOTIQUE JURIDIQUE, 2022, 35 (06): : 2409 - 2433
  • [7] Forensic Linguistics, An Introduction to Language, Crime and the Law
    Miskulin, Lucia
    [J]. SUVREMENA LINGVISTIKA, 2005, 59-60 (1-2): : 146 - 149
  • [8] Forensic linguistics: An introduction to language, crime and the law
    Newman, Paul
    [J]. LANGUAGE, 2007, 83 (04) : 899 - 901
  • [9] Forensic linguistics: An introduction to language, crime and the law
    Chaski, Carole E.
    [J]. INTERNATIONAL JOURNAL OF SPEECH LANGUAGE AND THE LAW, 2004, 11 (02) : 298 - 303
  • [10] WORDCRIME Solving crime through forensic linguistics
    Hoge, Kerstin
    [J]. TLS-THE TIMES LITERARY SUPPLEMENT, 2009, (5557): : 30 - 30