Abstract
This article explores the language of violent jihad, focussing upon lexis encoding concepts from Islam. Through the use of correlation statistics, this article demonstrates that the words encoding such concepts distribute in dependent relationships across different types of texts. The correlation between the words cannot be simply explained in terms of collocation; rather, the correlation is evidence of other forms of cohesion at work in the texts. The variation in patterns of cohesion across a spectrum of texts from those advocating violence to those which do not promote violence demonstrates how these concepts are contested and redefined by violent jihadists and the role that collocation and other forms of cohesion can play in the process. This article concludes that the terms, and their redefinition, are a key part of the symbolic capital used by groups to create identities which licence violence.
Introduction
Following Firth’s (1957: 6) dictum that ‘you shall know a word by the company it keeps’, (critical) discourse analysts employing corpus approaches have sought to examine the representations of, and discourses surrounding, particular words and concepts by analysing their collocates. Recent examples include Baker et al. (2013) who utilised collocation as an entry point for examining the representation of Muslims in the British press, Wright and Brookes (2019) who used the technique to identify groups depicted as not being able to speak English in right-leaning newspapers, and Taylor (2020) who used collocation to explore changes in the metaphorical representations of the Windrush Generation in UK public discourse. In this article, we build on such collocation-based approaches to discourse by incorporating consideration of correlation in the (critical) study of discourse. Correlation is a technique which measures whether two variables are related by considering the extent to which they tend to occur within the same text; ‘we are looking at whether, if one variable increases, the other variable increases, decreases or stays the same’ (Brezina, 2018: 141). Using a corpus of violent jihadist 1 texts, in this article we consider the extent to which a series of researcher-identified terms correlate with one another, with observed correlational relationships interpreted in terms of ideology and textual cohesion.
For the purpose of this study, we use the term
Ideology is central to the activities and associated discourses of terrorist groups. As Malešević (2017) observes, as well as requiring power at an organisational level, terrorism ‘entails the presence of a relatively distinct set of normative principles. Precisely because terrorist activities are generally regarded as being illegitimate or senseless, terrorist organisations devote a great deal of attention to ideology’ (p. 269), whereby ‘distinct ideological narratives [can be used to] justify the use of violence’ but also to enact ‘a structural change whereby such ideas and practices take root among wider sectors of population’ (p. 270). At the level of reception, the texts in our data were also perceived to have contributed to the formation of the worldviews of the individuals who had been radicalised to the extent that they had been convicted of committing terrorist crimes in pursuit of the ideologies propagated by those texts. The role of ideology in jihadism has been written about at length by, among others, Hellmich (2008), Mitchell (2008), Lohlker and Abu-Hamdeh (2013) and Manne (2017). Such treatises have tended to adopt critical perspectives on jihadist ideology, for example by pointing out its inconsistencies and hypocrisies and by elucidating the ways in which it undermines and contradicts the teachings of Islam. We will return at the end of this section to linguistic and discourse-based studies of jihadist ideology. For now, we turn our attention to lexical cohesion.
In addition to the ideologies of which they are constitutive and by which they are constituted, we also interpret the correlational relationships in these texts as contributing to their cohesion. Cohesion can be defined as the ‘set of resources for constructing relations in discourse that transcend grammatical structure’ (Martin, 2015: 61). This sense of studying relationships within (and across) texts beyond merely their grammatical parts is also captured by Mahlberg (2006), who defines textual cohesion as ‘the property of connectedness that characterises a text in contrast to a mere sequence of words’ (p. 363). Cohesion is a by now well-established concept in linguistics and (Critical) Discourse Analysis, with major interest in it initiated by Halliday and Hasan’s work in Systemic Functional Linguistics (SFL) (Halliday, 1964, 1973; Halliday and Hasan, 1976, 1995). Halliday (1973) modelled cohesion according to non-structural relations between words above the level of the sentence, under the rubric of the ‘textual metafunction’ (p. 141). In their account, Halliday and Hasan (1976) organised their inventory of cohesive resources in terms of reference, ellipsis, substitution, conjunction and lexical cohesion (this framework was elaborated on by Gutwinski (1976) who, influenced by Gleason (1968), introduced the concept of grammatical parallelism; see Martin (2015) for a useful discussion).
The concept of cohesion, particularly as defined and approached within the work of Halliday and Hasan, has a long-lasting legacy in linguistic and discourse analytical research and can, for instance, be seen in more recent work in the SFL tradition (e.g. Martin, 2012;). Cohesion has also received relatively recent attention from corpus linguists. In terms of collocation specifically, in their aforementioned account Halliday and Hasan (1976) only touch briefly on the role of collocation in cohesion, though more detailed, persuasive accounts of the utility of collocation for exploring cohesion at the lexical, grammatical and semantic levels have subsequently been provided by, among others, Kjellmer (1991), Sinclair (1996) and Stubbs (2015). Of particular relevance to this study, Morley (2009) demonstrates how an analysis of cohesion based on collocation can help to account for the ways in which lexical cohesion contributes towards what he refers to as the ‘rhetorical movement of the discourse’ (p. 5). The approach set out in the present elaborates on such collocation-based approaches by introducing consideration of correlation. Yet, at the same time, this study also contributes to the study of cohesion more generally; writing in 2015, JR Martin called for research on cohesion to address its relation to not only linguistic but also social modules in order to enhance understanding of the ways in which ‘the social motivates patterns of cohesion’. By studying the role of cohesion within and across texts written by different authors designed to persuade and unite individuals around particular sets of ideologies, the study reported in this article indeed contributes towards the placement of cohesion within the social.
This is not the first linguistic study concerned with the discourse and ideologies of violent jihadism. To offer a couple of recent examples, Holbrook (2014) explored the framing and evolution of the public discourse of Al-Qaeda based on analysis of 250 statements made by the organisation’s two leaders, Ayman Al-Zawahiri and Osama Bin Laden, over a period of 20 years. This study focused in particular on the ways in which the leaders ‘diagnosed’ problems, offered solutions, and advocated escalating violence. The analysis also showed how the leaders developed a more critical stance towards Islam following the 9/11 attacks and tailored messages for particular audiences, revealing tensions between the respective leaders’ discourse. More recently, Al-Rikaby and Mahadi (2018) examined the discursive strategies in so-called ‘calls to jihad’ by Al-Zawahiri in 2006 and the former leader of ISIS, Abu Bakr Al-Baghdadi, in 2015. Employing various concepts from Critical Discourse Analysis, this study showed how both leaders focused on in-group/out-group representations and the impacts that these have had on Muslim societies (for further examples of studies of jihadist ideological discourse, see Droogan and Peattie, 2018; Ingram, 2017; Spier, 2018; Wignell et al., 2017). A small body of work in this area has also employed more quantitative, including corpus linguistic, methods. For example, Prentice et al. (2011, 2012) utilised the
The remainder of this article is divided into four sections. Following this introduction, the ‘Data and approach’ section our data and analytical approach, before we present our analysis of the correlations in our corpus in the ‘Analysis’ section. In the section titled ‘Violent jihad and symbolic capital’, we present a discussion in which we interpret the patterns of textual cohesion and the rhetorical strategies identified in terms of the symbolic capital that is invested in them. Finally, we conclude the article by considering the implications of our findings and methodological approach for others applying corpus methods to critical discourse studies.
Data and approach
The texts analysed in this article derive from an ongoing project examining jihadist discourse (see Baker et al., 2020). The texts have all been associated with people convicted in the United Kingdom of terrorist offences and have been coded, through close reading, by experts (see Holbrook, 2019), into three categories within an ‘Extremist Media Index’ (Holbrook, 2015): ‘Moderate’, ‘Fringe’ or ‘Extreme’ (see Table 1).
Corpus composition, by ideological category.
All texts in the corpus are about Islam. The Extreme sub-corpus contains jihadist texts which provide an ‘Endorsement/glorification of violence in contemporary context and/or stark dehumanization’ (Holbrook, 2015: 60). Fringe texts are ‘religiously or ideologically conservative and isolationist, politically radical and confrontational, but without any justifications conveyed for violence’ (Holbrook, 2015: 66). Moderate texts are in no way linked to an encouragement to violence, isolationism or radical beliefs. The texts were written mostly in English, reflecting the first language of the people who were convicted and who had thus sourced and read the materials, although they also contained some elements of code-switching to Arabic, for example when quoting from the hadith or when referencing concepts from Islam. The categorisations in Table 1 help us to frame the texts in terms of ideology, given that central to each text in the corpus is a perceived attempt, on behalf of the author, to propagate a particular worldview.
Returning to the categorisations in Table 1, although this grouping of the texts was not carried out by linguists, and as such was based on non-linguistic categorisations of ideology, we are of the view that language is nevertheless likely to be significant to the ways in which those ideologies are expressed (Simpson, 1993: 5). Our analysis therefore sets out to explore the extent to which these categories, of ‘Moderate’, ‘Fringe’ and ‘Extreme’, are
Given our access to expert coding of the texts in our corpus, the starting point for our analysis is that subject expertise. We had access to a report (Anon, 2013) which identified a series of key-concepts, which were often directly lexical, that experts in the study of terrorist communications, and key members of the UK Muslim community, believed were important in allowing the analysts to place the texts into the different categories. After using Anon (2013), close reading and their subject expertise to classify our corpus texts, analysts also produced a document containing a set of terms that

Terms noted by the text analysts as being important in categorising texts.
These terms have a combined frequency of 15,106 in the whole corpus, occurring in 163 of the 174 Extreme texts with a frequency of 461.7 per 100,000 words (hereafter referred to as PHTW), 45 of the 54 Fringe texts (440.5 PHTW) and 42 of the 51 moderate texts (145.07 PHTW). While these terms do not deal with all of the issues identified by Anon (2013) as distinguishing the texts apart, they do at least give a fuller account of the concepts from Islam which might contribute to this, so we used these terms as the basis of our correlation analysis.
As a reminder, correlation analysis measures the extent to which two variables tend to occur within the same text. When an increase in the values of the first variable also means an increase in the values of the second variable, we can say that the two items are positively correlated. However, if the first variable increases as the second decreases, then the two items are negatively correlated. If the frequencies of the two variables appear to have no bearing on one another (i.e. an increase in the first variable does not seem to militate in favour of either an increase or decrease in the second variable), then we can conclude that there is virtually no correlation between these items and thus that there is not a statistically meaningful relationship between them (Brezina, 2018: 141–142).
We begin this study by using correlation to establish any relationships among the words introduced in Figure 1. Variant forms of each word were considered separately. As we were dealing with a scale linguistic variable (word frequency), we used a parametric test of correlation, Pearson’s Correlation (Brezina, 2018: 142). The distribution, by text, of each word in each category was calculated. The result of the correlation is an effect size,
To understand the rhetorical purposes of any correlations found, we also devise a scheme of rhetorical goals that the correlations highlighted in our analysis serve. This is based on close analysis of the ways in which the relevant words are used in their original contexts – a perspective facilitated by concordance. The structure of the next section, in which we report our findings, reflects the analytical sequence mapped out here.
Analysis
Correlation
Our analysis began by looking, in each category of texts, at the words in Figure 1 and ascertained, through correlation, whether any of them co-occurred with each other within the same text. Tables 2 and 3 show how many pairs of words correlate with one another with a medium or large effect. For the sake of brevity, we do not list the correlations here, but we will introduce and discuss specific correlations in the course of the discussion.
Terms correlated with a medium effect.
Terms correlated with a large effect.
While these tables show the scale of co-occurrence of these terms, they do not directly demonstrate that any given correlating pair is directly associated within the text (in other words, the correlation of A and B is not in itself direct evidence that A is being used, for example, to justify B in the text). What we seek through this test are indications of what we might look for in a (critical) discourse analysis of these texts.
Some observations can be made on the basis of these tables. First, there is a positive correlation between some of these concepts but there are no negative moderate or large correlations found in the corpus at all. This indicates that there is a degree of connectedness between the concepts which is what we should expect from terms arising from a belief system; that is, they are deployed in concert with rhetorical purpose.
Second, the different text types exhibit interesting similarities and differences, with the accent on difference. In the moderate effect part of the correlation scale, no correlated pair is shared across all three text categories (i.e. Moderate, Fringe and Extreme), three correlated pairs are shared across the Fringe and Extreme categories, four across Moderate and Extreme, and four across Moderate and Fringe. The remaining 149 of the total 159 correlated pairs occur in one text category only. In the large effect part of the correlation scale, no correlated pairs occur in all three text categories, one correlated pair is shared across the Fringe and Extreme categories, one across Moderate and Extreme, and six across Moderate and Fringe. The remaining 176 of the total 184 correlated pairs occur in one text category only.
This evidence suggests that the three types of texts draw upon a repertoire of concepts from the belief system that they relate to, and that they configure those in ways which do not always lead to sharp disjunctions between them, at least in terms of lexis. With that said, it should also be noted that the shared correlations drawn upon do represent a clear minority of the correlations both in the medium and large effect part of the correlation scale. Also, we have yet to consider frequency – it may be that large frequency effects minimise or amplify the importance of the correlations observed. There is an obvious intersection between correlation and frequency – in its simplest form, words which do not occur cannot correlate. This serves as a helpful reminder that in each text not every word that was explored in this analysis engaged in a correlation, as Table 4 shows.
Terms correlated with a small or no effect. Results for all forms, including variant forms, shown.
This view on correlation is interesting as it shows concepts which are not drawn on by some categories, while also showing words which, when they are drawn upon, do not correlate notably with other terms. The decision not to normalise the terms explored at this point to standard orthographic forms also reveals some interesting patterns of affinity – consider
Overall, a picture emerges once again of terms being (i.) selected within the categories, (ii.) brought together for use, and (iii.) avoided altogether in some cases. Also, some words more actively correlate with others; the word
Interaction
What is the nature of the interaction of the correlating words? To explore whether the correlations are simply collocations, the collocates of each term were calculated in each category. The statistic used was the Dice co-efficient (see Gablasova et al., 2017), with a collocational span of five words either side of the node (−5 to +5). Searches were performed using #LancsBox (Brezina et al., 2018).
This analysis showed that the correlations are generally not collocations, with there being only two exceptions:
All of the above sets parameters within which our analysis must operate. First, when looking at the correlating words we need to consider a broader context than collocation will permit, using close reading to look for explanations of the correlations. Second, when looking at collocates, we need to be aware of cases in which they tend to self-collocate and to explain, where possible, the effect and purpose of this. Third, as was shown with the discussion of
What is the cause of the burstiness of Jihad with your wealth The financial Jihad has preceded the physical Jihad in every verse except one. This is to point out to us the importance of the Jihad of wealth because Jihad depends on it. In other words, no money no Jihad, and Jihad needs lots of it. (
In the Moderate texts, this strategy is not necessary – they are relying on a given understanding of the word and the concept is not the central focus of the discourse. Accordingly, while the word
So, the increased strength of collocation is a sign of a greater exclusivity between the examples of
Returning to the use of
Let us return to the correlating pairs which are also collocates of each other. In Extreme, the
Self-collocation of
The exploration of the collocated pairs so far has begun to suggest rhetorical processes that may be associated with these pairs. To examine these, we will begin by placing each of the words examined into broad semantic fields. Ideally, we may want to do this with a readily available automated semantic tagger, but this is not possible as none are developed for the domain we are exploring. Accordingly, a provisional ontology was developed which is broad enough to capture key differences between the terms explored while giving what we think is a reasonable level of specificity in the ontology itself. This ontology is given in Table 5. In this system we use sub-categories sparingly and only in cases where there are terms which are so distinct that they clearly warrant a sub-category.
Semantic fields of words in Figure 1.
The elements of the correlated pairs in Tables 2 and 3 were assigned to each of these categories. The use of the sub-categories of the Spiritual field is to prise apart the temporal (mixed), the infernal (negative) and the heavenly (unmarked). Similarly, in the Us category, those who are identified as being an insider outgroup were identified as negative. By contrast, other categories, such as Them, were relatively flat, though of course in context a series of sub-categories may emerge. What this categorisation aimed to do was simply distinguish the terms investigated by their accepted meaning.
The grouping of the correlated pairs by concepts reduced the number of unique pairs. For medium correlation, the semantic fields produce 29 distinct pairs for Extreme (previously 58), 30 for Fringe (previously 78) and 20 for Moderate (previously 34). For large correlation, the semantic fields produce 15 distinct pairs for Extreme (previously 21), 37 for Fringe (previously 113) and 18 for Moderate (previously 52).
Self-correlation
One thing that the analysis does quite quickly is to identify where the correlations are, in fact, from the same broad semantic field. Table 6 summarises these pairs which, in the data, self-correlate in terms of semantic field.
Semantic fields self-correlating in each category of text.
Given that different words may occur in the same semantic field, this means that concepts, as well as words, can display burstiness. There is a good linguistic explanation for this – cohesion by reiteration, produced when ‘a word that is in some way associated with another word in the preceding text, because it is a direct repetition of it, or is in some sense synonymous with it’ recurs (Halliday and Hasan, 1976: 319). When referring to a group, for example, it is possible to set up textual cohesion by using the same word to refer to that group repeatedly and/or to use broadly equivalent words to talk about them. Similarly, we may use a singular and a plural form as we move through a text when referring to the group as the example from (Re: the
Note that in the example, neither
Yet repetition is not occurring in every category. Of the 11 categories, only 3 produce this effect through medium correlation and only 5 produce it through a large correlation. This is, in part, a further indication of topicality (van Dijk, 1977). Some categories are well populated and do not seem to produce these interwoven chains in the way that the categories in Table 5 do – notably, words belonging to the Us category do not produce this effect, even though these words are frequent in the corpus (1589 occurrences across 130 texts). Also, of those categories which do produce these self-correlating fields, those fields are not the same in each category. For example, fields self-correlating in Moderate (Authority and Adherence) do not self-correlate at all in the Extreme and Fringe categories and Adherence only self-correlates in the Moderate texts, and not at all in the Extreme or Fringe data, either as a medium- or large-strength correlation. Let us look at the theme of Adherence in the Moderate texts to exemplify what is happening. Consider As far as the Islamic rules are concerned, there are of two types. The first are those which are known by necessity to be part of the Deen of the Prophet sallalahu alaihi wa sallam like the five prayers, Zakaat, fasting in Ramadhan, Hajj; the prohibition of adultery, wine and so on. Taqleed is not allowed in these issues since they are such that everyone should know and understand.
Hence dimensions of adherence are discussed and related to one another, causing the correlation.
As mentioned, lexical cohesion can link to rhetorical structure and in the examples given we can see this. In one, two concepts produced lexical cohesion and the chains of cohesion were co-dependent because the discussion of the concepts were linked (
Beyond self-correlation
To understand the rhetorical purpose of categories which do not self-correlate but which do correlate with other categories, we devised a scheme of rhetorical goals that these correlations appear to serve. Our claim here is not that these correlations serve this category all of the time. Rather, these categories are a plausible interpretation of the rhetorical purpose of these correlations, derived from a qualitative investigation of relevant concordance lines. Our goal in each case was to categorise on the basis of what was the predominant rhetorical function of each pairing. Table 7 gives the categories, while Table 8 shows the distribution of these categories across the corpus. The self-correlating examples are included in this table in the category Cohesion. While principally focussed on Rhetoric, we have included Cohesion as a category here as it has a role to play in the texts which is, arguably, rhetorical, as the examples involving coordination in the section titled ‘Interaction’ showed.
Rhetorical elements and examples.
It should be noted that the examples given have been selected as demonstrating a point in as little space as possible; hence, these examples are cohesion by collocation rather than repetition.
From
From the evidence for the ruling regarding alliance with the infidels and matters related to it by Shaykh Al-Islaam.
From sharpening the Sinan for fighting the Government of Pakistan and its Army by Abu Yahya Al-Liby.
From clarifying the obligation of Migration from the Lands of Disbelief to the Lands of Islam by Abd Al Aziz bin Salih al-Jarbu.
From
The number of pairs in categories in each section of the corpus (figures in parentheses give the rank and percentage of examples of the pairs in this rhetorical and text category).
Let us illustrate how correlation and rhetoric may intersect with such words with regard to one whole text example, by an anonymous author, which contains two correlating pairs:
In the text, both of the correlations are indeed focused on providing a scriptural warrant for jihad. Jihad provides the main cohesive link in the text – it does not self-collocate. Lexical cohesion is formed through repetition. Other concepts, such as
The Fringe texts appeal to the Afterlife more than the other texts (for a further analysis of the Afterlife category, see Baker et al., 2020). The Extreme texts, however, rely more on Association than the Fringe texts. While the Moderate texts rely on a similar proportion of pairs in this category, Extreme has a larger number of such pairs. Similarly, Extreme relies more on the Cohesion category than the other two categories. However, all three categories rely heavily on Scriptural warrants. This gives us an idea, at a high level of abstraction, of how ideology and text interact in the three categories in the corpus.
Violent jihad and symbolic capital
Our investigation indicates that the analysts were right to identify the words examined as important; they, doubtless along with others, do indeed have a role to play in the organisation of discourse. Yet, another sense in which the words looked at here are important is in the symbolic capital (Bourdieu, 1989: 17) that they convey. These are Arabic loanwords associated with meanings that the authors claim derive from texts associated with the divine. For adherents of the religion, these words have symbolic capital – value that is ‘recognized as legitimate’ (Bourdieu, 1989: 17) and whose ‘perception and appreciation [. . .] express the state of relations of symbolic power’ (Bourdieu, 1989: 20). The terms and their source represent a form of symbolic power. These words, because of their association with the divine, become important sources of prestige in themselves. Such social power, through which the terms used constitute a ‘consecration or revelation’, represents ‘political power par excellence’ (Bourdieu, 1989: 23). Symbolic power of this sort is a key resource that may be employed in a discursive struggle to form perceptions of the social world. By discursive struggle, we refer to the ‘dialogical struggle (or struggles) as reflected in the privileging of a particular discourse and the marginalization of others’ (Hardy and Phillips, 1999: 3). This struggle has both objective and subjective dimensions. At the objective level, the persuasion can be to action – what Bourdieu terms
Religion is, classically, a symbolic system and hence an approach to understanding it through symbolic capital seems warranted (see also Swartz, 1996). Within these systems, ‘symbolic power [. . .] finds expression in everyday classifications, labels, meanings and classifications that subtly implement a social as well as symbolic logic of inclusion and exclusion’ (Swartz, 2013: 39). This explains the connectedness of the terminology explored in this analysis – it comes together in repeated patterns because it is a manifestation of a system ordered by a logic. That logic focuses on acts that are good and bad (Positive and Negative in the semantic fields used here), insiders (Us), outsiders (both Them and the negative Us group) and identifies different forms of struggle and conflict that can result from the logic of this system (the Conflict category). The authors, in writing about these topics, are asserting that their symbolic capital affords them ‘the social authority to impose symbolic meanings and classifications’ (Swartz, 2013) within the system. They do this through ‘public recognition of their capital holdings and positions occupied in social hierarchies’ (Swartz, 2013).
The differences between the Moderate, Fringe and Extreme texts link to the struggle to acquire symbolic capital through which to influence action. Textual authorities derived either directly or indirectly from the divine are key for all groups as a base of symbolic capital which may be drawn down but also, as we saw with the definitional preoccupation in the corpus, cast afresh, redefined. The divine is a potentially powerful source of the doxa – the natural order – of social order. Religion as a form of social organisation can draw upon this apparently infallible guide to these norms. Yet, the doxa in these texts is also the fulcrum of change across the categories; while the Moderate texts may be relying on a doxa to the extent that they do not engage in definition as much as in the other categories, the definitional focus of the Fringe and Moderate texts, focused on a set of terms which form part of the symbolic capital of the religion, is a clear sign that they are seeking to redefine the doxa. As individuals are persuaded, a group of those convinced forms, reminding us that the ‘second major mode of Bourdieu’s political sociology’ is the power of ‘authoritative nomination and the symbolic fabrication of collectives’ (Wacquant, 2004: 6). Symbolic capital is used for naming and definition; naming and definition form symbolic power; symbolic power, when accepted, forms new groups who abide by that new doxa and in doing so may legitimate social action, for example of Us on Them; ‘the categories of perception, the systems of classification, that is, essentially, the words, the names which construct social reality as much as they express it, are the crucial stakes of the political struggle, which is a struggle to impose [. . .] vision and division’ (Bourdieu, 1990: 134). 2
The struggle in the corpus, represented by the divisions within it, is a struggle for symbolic power through the accumulation of symbolic capital. In that struggle, different systems, representative of one or another version of such power, are in competition. The competition is played out using, and distorting, a complex system based on the definition of words and their relationship to one another and to actions – it is this that explains much we have seen in this analysis.
Conclusion
This article has demonstrated how the study of correlation, and in particular the repetition of correlating words, can shed light on the workings of discourse in and across ideologically loaded texts. In this case, we have interpreted the correlational patterns occurring across a set of violent jihadist texts as evidence of an ideological struggle for symbolic power, acquired through the accumulation of symbolic capital. This struggle is a significant one, given that the success of any terrorist organisation in recruiting and mobilising individuals to its cause is contingent not only upon how receptive those individuals are towards the ideological import of its messages (including those circulated through the (mass) media), but also on the ability of the organisation in question to establish itself as the ‘dominant or only legitimate conveyor of these ideas’ (Malešević, 2017: 271). Of course, analysis of these texts alone cannot account for all of the influences and processes that led to their possessors holding the particular extremist views that resulted in their arrests. However, we believe that this approach has been fruitful in uncovering the types of rhetorical strategies employed in these (and likely other) texts to attempt to persuade their readers to a particular (extremist) ideological viewpoint and, potentially, a course of violent action. Given that the individuals found in possession of these texts were also found guilty of terror-related offences, it is possible that some or all of these strategies were effective in these cases.
If this is the case, we must bear in mind that these texts will have likely played only a partial role in the formation of the worldviews that led to their possessors being convicted of terror-related offences. As Malešević (2017) points out, ‘[a]lthough terrorist outfits deploy intense ideological rhetoric and justify their violent acts through direct references to central principles of their respective ideological doctrines, one should not take such pronouncements at face value. Since all social organisations have to reconcile their doctrinal principles with the bureaucratic models of management, ideological messages are almost never popularly absorbed as they are presented’ (pp. 270–271). Moreover, the reception of doctrinal ideas is not straightforward but can be subject to, among other things, contradictions, misinterpretations and resistant readings (Billig et al., 1988). Hence, Malešević (2017) argues the type of ideologisation we have found in our texts to constitute a ‘regularly contingent, uneven and contested process that remains dependent on the coercive prop of the organisational shell’ (p. 271). For example, Malešević (2017) also cotends that although ISIS invests great emphasis and huge financial resources into its Takfirist/Salafist ideology, such ideas would not have attracted anything near the attention they have were it not for the group’s violent displays of its organisational might, including on the battlefield and in its ‘macabre beheadings of Westeners’. The ideological force and consequences of the texts studied here must thus be viewed in concert with the power and broader activities of their associated organisations.
Violent jihadist discourse has provided a convenient test case for this study. However, the approach used in this article could theoretically be applied to any corpus or set of texts, including but not just in analyses of claims to symbolic power between competing texts. Future work could test the flexibility of this approach by applying it, for example, to texts produced by fascists or white supremacists. Whatever the focus of future work may be, the introduction of non-linguist expert perspectives in the selection of search terms, as in this study, can render that selection process more robust and grant the resultant terms greater real-world relevance.
Footnotes
Acknowledgements
The authors wish to thank Annabelle Lukin and Charlotte Taylor for reading an earlier draft of this work.
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship,and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research reported in this article was supported by the UK’s Economic and Social Research Council, grant number ES/R008906/1.
