Journal Article |
Comparing the Online Posting Behaviors of Violent and Non-Violent Right-Wing Extremists
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Despite the ongoing need for researchers, practitioners, and policymakers to identify and assess the online activities of violent extremists prior to their engagement in violence offline, little is empirically known about their online behaviors generally or differences in their posting behaviors compared to non-violent extremists who share similar ideological beliefs particularly. In this study, we drew from a unique sample of violent and non-violent right-wing extremists to compare their posting behaviors within a sub-forum of the largest white supremacy web-forum. Analyses for the current study proceeded in three phases. First, we plotted the average posting trajectory for users in the sample, followed by an assessment of the rates at which they stayed active or went dormant in the sub-forum. We then used logistic regression to examine whether specific posting behaviors were characteristic of users’ violence status. The results highlight a number of noteworthy differences in the posting behaviors of violent and non-violent right-wing extremists, many of which may inform future risk factor frameworks used by law enforcement and intelligence agencies to identify credible threats online. We conclude with a discussion of the implications of this analysis, its limitations and avenues for future research.
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2021 |
Scrivens, R., Wojciechowski, T.W., Freilich, J.D., Chermak, S.M. and Frank, R. |
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Journal Article |
Examining Online Indicators of Extremism in Violent Right-Wing Extremist Forums
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Although many law enforcement and intelligence agencies are concerned about online communities known to facilitate violent right-wing extremism, little is empirically known about the presence of extremist ideologies, expressed grievances, or violent mobilization efforts that make up these spaces. In this study, we conducted a content analysis of a sample of postings from two of the most conspicuous right-wing extremist forums known for facilitating violent extremism, Iron March and Fascist Forge. We identified a number of noteworthy posting patterns within and across forums that may assist law enforcement and intelligence agencies in identifying credible threats online.
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2021 |
Scrivens, R., Osuna, A.I., Chermak, S.M., Whitney, M.A. and Frank, R. |
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Journal Article |
Sentiment-Based Identification of Radical Authors (SIRA).
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2015 |
Scrivens, R., Davies, G., Frank, R. and Mei, J. |
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Searching for Signs of Extremism on the Web: An Introduction to Sentiment-Based Identification of Radical Authors
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As violent extremists continue to surface in online discussion forums, law enforcement agencies search for new ways of uncovering their digital indicators. Researchers have both described and hypothesized a number of ways to detect online traces of potential extremists, yet this area of inquiry remains in its infancy. This study proposes a new search method that, through the analysis of sentiment, identifies the most radical users within online forums. Although this method is applicable to web-forums of any type, the method was evaluated on four Islamic forums containing approximately 1 million posts of its 26,000 unique users. Several characteristics of each user’s postings were examined, including their posting behavior and the content of their posts. The content was analyzed using Parts-Of-Speech tagging, sentiment analysis, and a novel algorithm called ‘Sentiment-based Identification of Radical Authors’, which accounts for a user’s percentile score for average sentiment score, volume of negative posts, severity of negative posts, and duration of negative posts. The results suggest that there is no simple typology that best describes radical users online; however, the method is flexible enough to evaluate several properties of a user’s online activity that can identify radical users on the forums.
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2017 |
Scrivens, R., Davies, G., and Frank, R. |
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Journal Article |
Triggered by Defeat or Victory? Assessing the Impact of Presidential Election Results on Extreme Right-Wing Mobilization Online
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The theoretical literature from criminology, social movements, and political sociology, among others, includes diverging views about how political outcomes could affect movements. Many theories argue that political defeats motivate the losing side to increase their mobilization while other established models claim the winning side may feel encouraged and thus increase their mobilization. We examine these diverging perspectives in the context of the extreme right online and recent presidential elections by measuring the effect of the 2008 and 2016 election victories of Obama and Trump on the volume of postings on the largest white supremacy web-forum. ARIMA time series using intervention modeling showed a significant and sizable increase in the total number of posts and right-wing extremist posts but no significant change for firearm posts in either election year. However, the volume of postings for all impact measures was highest for the 2008 election.
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2020 |
Scrivens, R., Burruss, G.W., Holt, T.J., Chermak, S.M., Freilich, J.D. and Frank, R. |
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“To My Brothers in the West . . .”: A Thematic Analysis of Videos Produced by the Islamic State’s al-Hayat Media Center
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This study examines videos produced by the al-Hayat Media Center, a branch of the Islamic State’s (IS) larger media campaign aimed more specifically at Western audiences. Using a thematic analysis approach, recurring themes of 10 al-Hayat videos were identified with conclusions made regarding the specificities of the message and the target audience. It was found that al-Hayat videos cater to potential Western recruits and sympathizers by portraying life in the IS as spiritually and existentially fulfilling, while simultaneously decrying the West as secular, immoral, and criminal. By utilizing well-produced propaganda videos that tap into the dissatisfactions of Western Muslims, al-Hayat was shown to deliver a sophisticated and legitimate message that may play a role in the larger radicalization process.
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2017 |
Macnair, L. and Frank, R. |
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