Dr. Garth Davies

Garth Davies is an Associate Professor in the School of Criminology at 丁香园AV. His current work involves developing a database for evaluating programs for countering violent extremism; the social psychology of radicalization; and the statistical modeling and projection of violent right-wing extremism. He has also been involved in the development of the Terrorism and Extremism Network Extractor (TENE), a web-crawler designed to investigate extremist activities on the internet. The crawler is presently being adapted to examine violent extremism on the dark net. Dr. Davies earned his Ph.D. in Criminal Justice from Rutgers University.

Contact Information:

Email: garthd@sfu.ca
Phone: +1 (778) 782-4764

Relevant Publications:

Davies, G., Scrivens, R., Gaudette, T., & Frank, R. (In Press). A Longitudinal Comparison of Violent and Non-Violent Right-Wing Extremist Identities Online. In B. Perry, J. Gruenewald, & R. Scrivens (Eds.), Right-Wing Extremism in Canada and the United States. Palgrave.

Gaudette, T., Scrivens, R., Davies, G., & Frank R. (2021). Upvoting Extremism: Collective Identity Formation and the Extreme Right on Reddit. .

Davies, G., Wu, E., & Frank, R. (2021). A Witch鈥檚 Brew of Grievances: The Potential Effects of COVID-19 on Radicalization to Violent Extremism. .

Knoechelmann, M., Davies, G., & Macnair, L. (2021). Personality Traits-Based Terrorism Risk Assessment: Determining Reliability Using Open-Source Data. In R. Corrado, G. W枚ssner, & A. Merari (Eds.), . IOS Press.

Scrivens, R., Davies, G., & Frank, R. (2020). Measuring the Evolution of Radical Right-Wing Posting Behaviors Online. .

Bouchard, M., Davies, G., Frank, R., Wu, E., & Joffres, K. (2020). The Social Structure of Extremist Websites. In J. Littlewood, L. Dawson, & S. Thompson (Eds.), . University of Toronto Press.

Scrivens, R., Gaudette, T., Davies, G., & Frank, R. (2019). Searching for Extremist Content Online Using The Dark Crawler and Sentiment Analysis. In M. Deflem & D. Silva (Eds.), . Emerald Publishing.

Doering, S., & Davies, G. (2019). The Contextual Nature of Right-Wing Terrorism across Nations. .

Gaudette, T., Davies, G., & Scrivens, R. (2018). Upvoting Extremism, Part II: An Assessment of Extreme Right Discourse on Reddit. .

Gaudette, T., Davies, G., & Scrivens, R. (2018). Upvoting Extremism, Part I: An Assessment of Extreme Right Discourse on Reddit. .

Gaudette, T., Scrivens, R., & Davies, G. (2018). The Future of Detecting Extreme-Right Sentiment Online. .

Monk, B., Mitchell, J., Frank, R., & Davies, G. (2018). Uncovering Tor: An Examination of the Network Structure. .

Scrivens, R., & Davies, G. (2018). Identifying Radical Content Online. .

Scrivens, R., Davies, G., & Frank, R. (2018). Searching for Signs of Extremism on the Web: An Introduction to Sentiment-based Identification of Radical Authors. .

Corrado, R., Cohen, I., & Davies, G. (2016). Terrorism Crime Prevention Policies in Liberal Democracies: Challenges, Dilemmas, and Options. In J. Winterdyk (Ed.) . CRC Press.

Davies, G., Neudecker, C., Ouellet, M., Bouchard, M., & Ducol, B. (2016). Toward a Framework to Assess Online Programs for Countering Violent Extremism. , 6, 51-86.

Ducol, B., Bouchard, M., Davies, G., Ouellet, M., & Neudecker, C. (2016). Assessment of the State of Knowledge: Connections between Research on the Social Psychology of the Internet and Violent Extremism. .

Frank, R., Bouchard, M., Davies, G., & Mei, J. (2015). Spreading the Message Digitally: A Look into Extremist Organizations鈥� use of the Internet. In R. G. Smith, R.C.-C. Cheung and L.Y.-C. Lau (Eds.) . Palgrave.

Davies, G., Bouchard, M., Wu, E., Joffres, K., & Frank, R. (2015). Terrorist and Extremist Organizations鈥� use of the Internet for Recruitment. In M. Bouchard (Ed.) (pp. 105-127). Routledge.

Scrivens, R., Davies, G., Frank, R., & Mei, J. (2015). Sentiment-based Identification of Radical Authors (SIRA). In .

Wu, E., Carleton, R., & Davies, G. (2014). Discovering Bin-Kaden鈥檚 Replacement in Al-Qaeda, using Social Network Analysis: A Methodological Investigation. , 8(1), 57-73.