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Social media has become the milieu of choice to radicalize young impressionable minds by terrorist organizations such as al Qaeda and the Islamic State. While a plethora of research exists on the recruitment and propaganda efforts by terrorist organizations there is limited number of quantitative studies that observe the relationship of gender and the involvement in online radical milieus. This current research will build upon prior studies through the comparative analysis of 750 unique Twitter accounts supporting the IS and the affiliates of al-Qaeda that were non-randomly sampled between January and September of 2015. The research aimed to address the questions of: 1) whether women that are involved in pro-jihadist communities on Twitter post substantively different amounts of content than men, 2) whether women that are involved in pro-jihadist communities on Twitter post substantively different content than their male counterparts and, 3) whether the gender disparity in level and type of involvement on Twitter differ amongst the supporters of different jihadist organizations. This study found that, while pro-jihadist communities on Twitter continue to be dominated by male participation, female supporters of the IS are more active and post more violent content than women that support any other organization. The intragroup differences found amongst the female supporters suggests that group ideology, recruitment and
propaganda strategies play a role in the level of involvement of women in radical milieus.

This study analyzes cross-sectional data obtained from respondents in neo-Nazi online discussion forums and textual data from postings to these forums. It assesses the impact of participation in radical and homogeneous online groups on opinion extremism and probes whether this impact depends on political dissimilarity of strong and weak offline ties. Specifically, does dissimilarity attenuate (as deliberative theorists hope) or rather exacerbate (as research on biased processing predicts) extreme opinions? As expected, extremism increases with increased online participation, likely due to the informational and normative influences operating within online groups. Supporting the deliberative and biased processing models, both like-minded and dissimilar social ties offline exacerbate extremism. Consistent with the biased processing model, dissimilar offline ties exacerbate the effects of online groups. The theoretical and practical implications are discussed.

Objectives: In this systematic review and meta analysis we will collate and synthesize the evidence on media‐effects for radicalization, focusing on both cognitive
and behavioral outcomes. The goal is to identify the relative magnitudes of the effects for different mediums, types of content, and elements of human‐media
relationships.
Methodology: Random‐effects meta analysis will be used and the results will be rank‐ordered according to the size of the pooled estimates for the different factors.
Meta‐regressions, moderator analysis, and sub‐group analyses will be used to investigate sources of heterogeneity.
Implications: The results of this review will provide a better understanding of the relative magnitude of the effects of media‐related factors. This information should
help the development of more evidence‐based policies.

This systematic review and meta-analysis sought to (1) identify and synthesize the effects of different media-related risk factors at the individual level, (2) identify the relative magnitudes of the effect sizes for the different risk factors, and (3) compare the effects between outcomes of cognitive and behavioral radicalization. The review also sought to examine sources of heterogeneity between different radicalizing ideologies.

Objectives
Despite popular notions of “filter bubbles” and “echo chambers” contributing to radicalization, little evidence exists to support these hypotheses. However, social structure social learning theory would suggest a hereto untested interaction effect.
Methodology
An RCT of new Twitter users in which participants were randomly assigned to a treatment of “filter bubble” (personalization algorithm) suppression. Ego-centric network and survey data were combined to test the effects on justification for suicide bombings.
Findings
Statistically significant interaction effects were found for two proxies of the echo chamber, the E-I index and modularity. For the treatment group, higher scores on both factors decreased the likelihood for radicalization, with opposing trends in the control group.
Conclusions
The echo chamber effect may be dependent on the filter bubble. More research is needed on online network structures in radicalization. While personalization algorithms can potentially be harmful, they may also be leveraged to facilitate interventions.