What are the effects of different elements of media on radicalization outcomes? A systematic review

Digital media use, depressive symptoms and support for violent radicalization among young Canadians: a latent profile analysis

BACKGROUND

Despite the prominent role that digital media play in the lives and mental health of young people as well as in violent radicalization (VR) processes, empirical research aimed to investigate the association between Internet use, depressive symptoms and support for VR among young people is scant. We adopt a person-centered approach to investigate patterns of digital media use and their association with depressive symptoms and support for VR.

METHODS

A sample of 2,324 Canadian young people (Mage = 30.10; SDage = 5.44 ; 59% women) responded to an online questionnaire. We used latent profile analysis to identify patterns of digital media use and linear regression to estimate the associations between class membership, depressive symptoms and support for VR.

RESULTS

We identified four classes of individuals with regards to digital media use, named Average Internet Use/Institutional trust, Average internet use/Undifferentiated Trust, Limited Internet Use/Low Trust and Online Relational and Political Engagement/Social Media Trust. Linear regression indicated that individuals in the Online Relational and Political Engagement/Social Media Trust and Average Internet Use/Institutional trust profiles reported the highest and lowest scores of both depression and support for VR, respectively.

CONCLUSIONS

It is essential to tailor prevention and intervention efforts to mitigate risks of VR to the specific needs and experiences of different groups in society, within a socio-ecological perspective. Prevention should consider both strengths and risks of digital media use and simulteaneously target both online and offline experiences and networks, with a focus on the sociopolitical and relational/emotional components of Internet use.

Significance Quest: A Meta-Analysis on the Association Between the Variables of the 3N Model and Violent Extremism

Given the pervasiveness of violent extremism all over the globe, understanding its psychological underpinnings is key in the fight against it. According to the Significance Quest Theory and its 3N model, violent extremism (i.e., violent and deviant behavior) is a function of three elements: need, narrative, and network. In the present meta-analysis, to put into test the theory and its model, we aimed to establish the strength of the association between these three elements, as well as the quest for significance itself, and violent extremism; and investigate if these associations are influenced by methodological decisions (i.e., sampling and measurements/manipulations). A literature search was performed through electronic platforms, a call for unpublished or in-press data, and backward snowballing. Seventeen reports, comprising 42 studies, met full inclusion criteria: quantitative studies based on primary data assessing for the association of at least one of the 3Ns, or quest for significance, and violent extremism, and providing sufficient data for effect size extraction. Findings are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) guidelines. Random-effect meta-analyses rendered statistically significant pooled effect sizes in all the investigated associations. The association is strong for quest for significance, moderate for narrative and network, and low for need for significance. Subgroup analyses demonstrate that the detection of these associations is influenced by methodological decisions concerning the measurements and manipulations, but not by those concerning the sampling. We discuss these findings and suggest future research directions aiming to improve the predictive power of the theory and its model.

Distinct patterns of incidental exposure to and active selection of radicalizing information indicate varying levels of support for violent extremism

Exposure to radicalizing information has been associated with support for violent extremism. It is, however, unclear whether specific information use behavior, namely, a distinct pattern of incidental exposure (IE) to and active selection (AS) of radicalizing content, indicates stronger violent extremist attitudes and radical action intentions. Drawing on a representative general population sample (N = 1509) and applying latent class analysis, we addressed this gap in the literature. Results highlighted six types of information use behavior. The largest group of participants reported a near to zero probability of both IE to and AS of radicalizing material. Two groups of participants were characterized by high or moderate probabilities of incidental exposure as well as a low probability of active selection of radicalizing content. The remaining groups displayed either low, moderate, or high probabilities of both IE and AS. Importantly, we showed between-group differences regarding violent extremist attitudes and radical behavioral intentions. Individuals reporting near zero or high probabilities for both IE to and AS of radicalizing information expressed the lowest and strongest violent extremist attitudes and willingness to use violence respectively. Groups defined by even moderate probabilities of AS endorsed violent extremism more strongly than those for which the probability for incidental exposure was moderate or high but AS of radicalizing content was unlikely.

Terrorism and the internet: How dangerous is online radicalization?

This work is concerned with the extent and magnitude of threat related to online radicalization in the context of terrorist acts and related offending. Online influences have been depicted as major drivers for the propagation and adoption of extremist ideologies, which often contain an element of collective grievance, and subsequent acts of violence. This is most pronounced in the discussion of so-called lone actor terrorism, but extends to all forms of extremist offending, and beyond. The present work situates online radicalization leading to terrorist acts within the wider context of grievance-based beliefs and attitudes. Further, it addresses current positions and debates surrounding the relevance and mechanisms of online radicalization in terrorist offending. Recent evidence from quantitative studies is reviewed to estimate prevalence of online radicalization and the level of threat that results from it. This is followed by a discussion of plausible, but opposing, interpretations of the estimates presented. While online radicalization does occur, with and without reference to offline processes, the resulting threat is not overly high. This assessment, however, refers to the present only and is unlikely to hold for the future, given the general growth and acceleration of online activity among terrorist actors.