Summary information

Study title

Human trafficking media texts

Creator

Gregoriou, C, University of Leeds

Study number / PID

852925 (UKDA)

10.5255/UKDA-SN-852925 (DOI)

Data access

Information not available

Series

Not available

Abstract

The project partners collected and analysed media material produced after 2000. Gregoriou and Ras examined a 61.5 million word corpus of UK news texts published during 2000-2016. Muždeka compared a sub-corpus from Gregoriou and Ras’ UK study to a similarly compiled corpus of Serbian human trafficking newstexts. Beyer analysed British and Scandinavian crime fiction novels, and Dearey the Al Jazeera English documentary series 'A 21st century evil' (see Related Resources). Our research questions were: How are trafficking, traffickers and HT victims identified and represented, and to what extent are victims criminalised and victimised, sex trafficking overrepresented, and smuggling and trafficking conflated by the media? Despite the fact that human trafficking is condemned as a modern-day form of slavery, criminalized under international law, and categorized as a human rights violation, this exploitative practice now represents a multibillion-dollar industry for transnational organized crime. The failure to address the problem holistically means that it has now become an urgent priority. European Union directives (2011/2014) indicate that an integrated and human-rights oriented approach is needed to combat this "complex crime", including the provision of protection and support for its victims, as well as wider education and awareness-raising campaigns. Meanwhile, police and governments face investigative and crime-fighting challenges, due to the flexibility and relative speed with which organized crime can adapt its transnational operations, often by activating overlapping circles and layers of networks, interaction and expertise. The primary purpose of this research is to investigate the portrayal of transnational human trafficking in contemporary crime fiction, the genre of true crime, and news media. This research will investigate how aligned such representations of trafficking are, whilst assuming that fictional and supposed factual representations as well as...
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Methodology

Data collection period

03/10/2016 - 02/10/2017

Country

United Kingdom, Serbia

Time dimension

Not available

Analysis unit

Object
Text unit

Universe

Not available

Sampling procedure

Not available

Kind of data

Still image
Text
Video

Data collection mode

Gregoriou and Ras: To address corpus compilation considerations with regard to the relevance of the included texts and the exhaustiveness of the corpus, we drew on Gabrielatos’ (2007) data collection method, which he developed as part of a research project examining UK media representations of refugees, asylum seekers, and (im)migrants. We first collected sample corpora (i.e. a selection of the intended final, full corpus) from Lexis Nexis for the periods 1/1/2000-30/9/2000, 1/1/2008-30/9/2008, and 1/1/2016-30/9/2016, to ensure that our results would not be unduly skewed toward either end, or indeed the middle, of the overall time frame. Each initial sample corpus was then uploaded to Wmatrix (Rayson, 2009) and compared to a reference corpus (a corpus that serves as the benchmark against which the primary corpus is, or our sample corpora were, compared), which in our case was the BNC Written Sampler (a corpus intended to be representative of written British English), to generate three keyword (words used significantly less or more often in the primary corpus than in the reference corpus) lists, one for each sample corpus, which were then combined. The potential usefulness of each keyword was evaluated by calculating RQTR scores (a mathematical measure indicating the potential relevant of a keyword as a search term) following Gabrielatos (2007). Further potential search terms were selected introspectively by members of the project team, based on their reading of the relevant literature. These potential search terms were also evaluated using Gabrielatos’ (2007) RTQR score technique. It was the resultant list of search terms that was used to collect articles from Lexis Nexis over the full time frame 1/1/2000-30/9/2016.Our resultant search terms were: bonded labour, child labour, debt bondage, domestic servitude, exploitation, exploitative labour, forced criminality, forced labour, forced prostitution, human trafficker, human trafficking, labour trafficking, organ harvesting, raid-and-rescue, sex slave, sex slaves, sex trafficking, sexual exploitation, sexual servitude, slave, slave trade, slaves, trafficked, trafficked victims, traffickers, trafficking (in/of) persons, trafficking (in/of) human being/s, and woman trafficking. Though the whole corpus of texts (61.5 million words) was explored quantitatively, a subcorpus (from periods in which human-trafficking related reporting was particularly high) of 67 texts was explored qualitatively. For Muzdeka’s study, the English language news media sub-corpus (consisting of 67 texts) was compared to a similarly compiled Serbian corpus. For the selection of the Serbian language texts, the most extensive Serbian news media database (EBART) was used, archiving news media output since 2003. The core search terms used are the direct translation of the search terms used for generation of the English language corpus: human trafficking, slavery, trafficking in human beings, forced labour, sexual exploitation, sex trafficking, sexual trafficking, sex slave (some of which in the Serbian language take more than one form, in which case all the existing expressions were included in the query). Beyer analysed a range of English child trafficking-related crime novels and also such novels from Scandinavia. Dearey analysed the portrayal of traffickers in the 7-part '21st century evil' documentary series (see Related Resources)

Funding information

Grant number

ES/P001130/1

Access

Publisher

UK Data Service

Publication year

2017

Terms of data access

The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.

Related publications

Not available