‘So is your mom as cute as you?’: Examining patterns of language use in online sexual grooming of children

Lorenzo-Dus, Nuria; Kinzel, Anina

doi:10.18573/jcads.31

Cited by 9 publications

(14 citation statements)

References 20 publications

(44 reference statements)

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“…In fact, one study tested this and found a number of words regularly used by online groomers that had sexual connotations but were not part of the sexual word category in LIWC (Lorenzo-Dus & Kinzel, 2019). This limitation found in Lorenzo-Dus and Kinzel ( 2019) is related to another criticism, which is the content of the sexual word category.…”

Section: Two Quantitative Approaches To Online Grooming Languagementioning

confidence: 99%

“…Three new moves were identified in Chiang and Grant (2018). Schneevogt et al (2018), Lorenzo-Dus and Kinzel (2019Kinzel ( , 2021, and Lorenzo-Dus et al (2020) used Corpus Linguistics tools to examine online grooming language (see chapter three, section 3.1.1). The thesis will contribute new insights to this recent Linguistics scholarship.…”

Section: A Language-based Approach To a Social Challenge (Online Grooming)mentioning

confidence: 99%

“…One quantitative study looked at 590 chat logs, which was the entirety of the archive in 2017 at the time the study was published (Drouin et al, 2017). The three studies mentioned above using Corpus Linguistics have used the whole archive since the foundation's termination in 2019 3 to analyse communicative patterns in online grooming language (Schneevogt et al, 2018;Lorenzo-Dus & Kinzel, 2019Lorenzo-Dus et al, 2020). Lorenzo-Dus and Kinzel (2019Kinzel ( , 2021, and Lorenzo-Dus et al (2020) have been the first to apply a Corpus-Assisted Discourse Analysis (CADS) approach (see chapter three, section 3.2 for an overview of CADS) to online grooming, combining quantitative analyses of the communicative patterns of online groomers with more fine-grained qualitative analysis, analysing different aspects of online grooming.…”

Section: A Language-based Approach To a Social Challenge (Online Grooming)mentioning

confidence: 99%

“…As can be seen, data sizes ranged from seven chat logs to over 600 chat logs (Schneevogt et al, 2018;Lorenzo-Dus & Kinzel, 2019;Lorenzo-Dus et al, 2020). The studies also employed different methodologies, ranging from content/Thematic Analysis (Egan et al, 2011;Williams et al, 2013;Gauz, 2016;Winters et al, 2017;Kloess et al, 2017a), which are primarily qualitative, to logistical models (Pranoto et al, 2015) and LIWC (Gupta et al, 2012;Black et al, 2015), which are primarily quantitative.…”

Section: Approaches To the Study Of Online Grooming Communicationmentioning

confidence: 99%

“…Having examined different data sizes in previous online grooming research, the next section will examine an alternative methodology to CADS, the only other quantitative methodology in the study of online grooming using large datasets (Gupta et al, 2012;Black et al 2015;Drouin et al, 2017;Lorenzo-Dus & Kinzel, 2019) similar to the one in this study, which warrants a closer examination. The tool is Linguistic Inquiry and Word Count (LIWC), and its potential and drawbacks will be reviewed by example of one article that used LIWC, Drouin et al (2017), which analysed 590 PJ chat logs according to sexual words, word count and clout, three of LIWC's categories.…”

Section: Two Quantitative Approaches To Online Grooming Languagementioning

confidence: 99%

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The Language of Online Child Sexual Groomers - A Corpus Assisted Discourse Study of Intentions, Requests and Grooming Duration

Kinzel¹

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Online grooming has become a wide-spread and worryingly fast increasing issue in society. This thesis analyses a corpus of online grooming communication, made available by the Perverted Justice (PJ) archive, a non-profit organisation that from 2004 until 2019 employed volunteers, who pretended to be children and entered chat rooms to catch and convict groomers, collaborating with law enforcement. The archive consists of 622 grooming chat logs and approx. 3.7 million words of groomer language. A corpus of this database was built, and a Corpus-Assisted Discourse Studies (CADS) approach used to analyse the language therein. Specifically, the language was compared to a reference corpus of general chat language data (PAN2012) and duration of online grooming and manipulative requesting behaviour were also investigated. The following research questions were answered: 1)What are the features of a corpus of online groomer language compared to that of a general digital chat language reference corpus? Is online groomer language distinct? How are online grooming intentions realised linguistically by online groomers?2)Does duration of grooming influence the grooming process/intentions? Is usage of specific words/specific grooming intentions associated with different duration of grooming? Can different duration profiles be established and, if so, what are the cut-off points for these duration profiles?3)How are requests realised in online grooming and how does duration influence this? How do groomers make requests and what support move functions do they use? Does duration influence how requests are made, and the type of support move function that are used?The thesis newly identifies nuanced linguistic realisations of groomers’ intentions and strategies, proposing a new working terminology for discourse-based models of online grooming. This is based on a review of the literature followed by an empirical analysis refining this terminology, which has not been done before. It finds evidence for two distinct duration-based grooming approaches and yields a fine-grained qualitative analysis of groomer requests, also influenced by grooming duration. There have only been very few studies using a CADS analysis of such a large dataset of groomer language and this thesis will lead to new insights, implications and significance for the successful analysis, detection and prevention of online grooming.

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Section: Two Quantitative Approaches To Online Grooming Languagementioning

confidence: 99%

Section: A Language-based Approach To a Social Challenge (Online Grooming)mentioning

confidence: 99%

Section: A Language-based Approach To a Social Challenge (Online Grooming)mentioning

confidence: 99%

Section: Approaches To the Study Of Online Grooming Communicationmentioning

confidence: 99%

Section: Two Quantitative Approaches To Online Grooming Languagementioning

confidence: 99%

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The Language of Online Child Sexual Groomers - A Corpus Assisted Discourse Study of Intentions, Requests and Grooming Duration

Kinzel¹

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Mediatisierte sexualisierte Gewalt erkennen: A_Rendelle & Dior

Vobbe

Kärgel

2022

Sexualisierte Gewalt Und Digitale Medien

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ZusammenfassungZiel der Falldiskussion ist eine Sensibilisierung für mediatisierte sexualisierte Gewalt. Dazu werden entlang eines Chatauszugs Maßstäbe der fachlichen Bewertung ausgelegt. Ein Transfer ist auch in Zusammenhänge möglich, in denen Hinweise auf Gewalt nicht in Chatverläufen, sondern in Foto-, Video- und Tonaufnahmen enthalten sind. Das Kapitel bespricht somit fachliche Grundlagen, die über den konkreten Fall hinausweisen. Die Ausschnitte des Chats verzichten auf Kontextinformationen zu den Chattenden mit den Nicknamen A_Rendelle und Dior, um unmittelbare Assoziationen durch die Kommunikation auszulösen. Eine ausführliche Reflexion sowie die Fortsetzung des Chats schließen an.

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Umgang mit Eltern-Kind-Konflikten aufgrund der Vermutung mediatisierter sexualisierter Gewalt: Eli

Vobbe

Kärgel

2022

Sexualisierte Gewalt Und Digitale Medien

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ZusammenfassungBereits die Vermutung mediatisierter sexualisierter Gewalt führt zu Belastungen im Bezugssystem von Kindern und Jugendlichen. Dies zieht oft Konflikte innerhalb der Familie nach sich, die Interventionen erschweren und junge Menschen zusätzlich belasten. Das Kapitel diskutiert Gründe und Dynamiken von Eltern-Kind-Konflikten infolge des Verdachts auf mediatisierte sexualisierte Gewalt. Es bespricht, wie mit diesen belastungsbedingten Konflikten umgegangen werden kann. Es stellt sozialpädagogische und juristische Möglichkeiten des Schutzes junger Menschen dar, auch für den Fall, dass die Frage nach möglicher Gewalt nicht abschließend geklärt werden kann.

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‘So is your mom as cute as you?’: Examining patterns of language use in online sexual grooming of children

Cited by 9 publications

References 20 publications

The Language of Online Child Sexual Groomers - A Corpus Assisted Discourse Study of Intentions, Requests and Grooming Duration

The Language of Online Child Sexual Groomers - A Corpus Assisted Discourse Study of Intentions, Requests and Grooming Duration

Mediatisierte sexualisierte Gewalt erkennen: A_Rendelle & Dior

Umgang mit Eltern-Kind-Konflikten aufgrund der Vermutung mediatisierter sexualisierter Gewalt: Eli

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