Difference between revisions of "Modeling Radicalization on Social Media using Knowledge-infused and Context-aware Learning"

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=Workshops=
 
=Workshops=
 
* [http://CySoc.aiisc.ai/ International Workshop on Cyber Social Threats 2020], at the 14th International AAAI Conference on Web and Social Media (ICWSM 2020). <b>Organizers:</b> [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu], [https://sites.google.com/site/yelenamejova/ Yelena Mejova], [https://www.binghamton.edu/computer-science/contact/profile.html?id=jblackbu Jeremy Blackburn], [https://aiisc.ai/amit Amit P. Sheth]. <b>Summary:</b> [http://workshop-proceedings.icwsm.org/abstract?id=2020_10 Cyber Social Threats 2020 Workshop Meta-report: COVID-19, Challenges, Methodological and Ethical Considerations.]
 
* [http://CySoc.aiisc.ai/ International Workshop on Cyber Social Threats 2020], at the 14th International AAAI Conference on Web and Social Media (ICWSM 2020). <b>Organizers:</b> [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu], [https://sites.google.com/site/yelenamejova/ Yelena Mejova], [https://www.binghamton.edu/computer-science/contact/profile.html?id=jblackbu Jeremy Blackburn], [https://aiisc.ai/amit Amit P. Sheth]. <b>Summary:</b> [http://workshop-proceedings.icwsm.org/abstract?id=2020_10 Cyber Social Threats 2020 Workshop Meta-report: COVID-19, Challenges, Methodological and Ethical Considerations.]
 
=Tutorials=
 
* Gaur, M., Kursuncu, U., Sheth, A. Yadav, S. & Wickramarachchi (2020), [http://kidl2020.aiisc.ai/ "Hypertext 2020 Tutorial: Knowledge-infused Deep Learning"], In 31st ACM Conference on Hypertext and Social Media (HT'20), Florida, USA
 
  
 
=Invited Talks=
 
=Invited Talks=
* [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu], [https://aiisc.ai/amit Amit Sheth]. [https://www.youtube.com/watch?v=eulpEZwzABs Understanding factors driving Extremism on Social Media] delivered at [https://southbigdatahub.org/ South Big Data Hub]. April 2020.
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* [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu], [https://aiisc.ai/amit Amit Sheth]. [https://www.youtube.com/watch?v=eulpEZwzABs Understanding factors driving Extremism on Social Media]. [https://southbigdatahub.org/ South Big Data Hub]. April 2020.
* [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu]. [https://bit.ly/OK_talk Understanding the Harms of Online Platforms: Radicalization and Gun Violence] delivered at Data+Creativity Lecture Series, Oklahoma City, Oklahoma. October 2019.
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* [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu]. [https://bit.ly/OK_talk Understanding the Harms of Online Platforms: Radicalization and Gun Violence]. Data+Creativity Lecture Series, Oklahoma City, Oklahoma. October 2019.
* [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu]. [https://youtu.be/Ffc6yOGt-8U?t=2752 Analysis of Islamist Extremist Narrative on Social Media], delivered at [http://www.ipsonet.org/conferences/36-conferences/middle-east-dialogue MED 18: Middle East Dialogue 2018: A New Collective Vision]. Washington DC. March 2018.
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* [https://aiisc.ai/amit Amit Sheth]. [https://dbsec2019.cse.sc.edu/Keynote.html Understanding Online Socials Harm: Examples of Harassment and Radicalization]. 33rd Annual Conference on Data and Applications Security and Privacy (DBSec'19). Charleston, SC, USA - July, 2019
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* [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu]. [https://youtu.be/Ffc6yOGt-8U?t=2752 Analysis of Islamist Extremist Narrative on Social Media], [http://www.ipsonet.org/conferences/36-conferences/middle-east-dialogue MED 18: Middle East Dialogue 2018: A New Collective Vision]. Washington DC. March 2018.
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 +
=Tutorials=
 +
* Manas Gaur, Ugur Kursuncu, Amit Sheth, Shweta Yadav & Ruwan Wickramarachchi (2020), [http://kidl2020.aiisc.ai/ "Hypertext 2020 Tutorial: Knowledge-infused Deep Learning"], In 31st ACM Conference on Hypertext and Social Media (HT'20), Florida, USA
  
 
=People=
 
=People=
'''Principal Investigators:''' [https://aiisc.ai/amit Amit Sheth] <br />
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'''PIs:''' [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu], [https://aiisc.ai/amit Amit Sheth] <br />
  
'''Co-Investigators:''' [https://www.linkedin.com/in/ugurkursuncu/ Ugur Kursuncu]
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'''Co-PIs:''' [http://cobweb.cs.uga.edu/~budak/ I. Budak Arpinar], [http://people.wright.edu/valerie.shalin Valerie L. Shalin], [https://www.umassd.edu/cas/polisci/faculty-and-staff/dilshod-achilov/ Dilshod Achilov], [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan]
  
 
'''Graduate Students:''' [https://manasgaur.github.io/ Manas Gaur], Vedant Khandelwal <br />
 
'''Graduate Students:''' [https://manasgaur.github.io/ Manas Gaur], Vedant Khandelwal <br />
  
'''Collaborators:''' [http://people.wright.edu/valerie.shalin Valerie L. Shalin], [https://www.umassd.edu/cas/polisci/faculty-and-staff/dilshod-achilov/ Dilshod Achilov], [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan], [https://chato.cl/research/ Carlos Castillo], [http://cobweb.cs.uga.edu/~budak/ I. Budak Arpinar] <br />
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'''Collaborators:''' , [https://chato.cl/research/ Carlos Castillo] <br />
  
 
'''Past Members:''' Amanuel Alambo, [https://www.linkedin.com/in/hale-inan/ Hale Inan]
 
'''Past Members:''' Amanuel Alambo, [https://www.linkedin.com/in/hale-inan/ Hale Inan]

Latest revision as of 16:59, 3 October 2020

Modeling Radicalization on Social Media using Knowledge-infused & Context-Aware Learning is an inter-disciplinary project among the AI Institute at University of South Carolina (AIISC), Department of Psychology at Wright State University, Department of Political Science at the University of Massachusetts at Dartmouth, and University of Georgia.

Overview

Radicalization and violent extremism remains a pivotal national security priority in the U.S. and globally. The Internet offers key channels through which violent extremists spread and influence others to adopt their views. In particular, Twitter and Reddit have emerged as central platforms through which violent extremist groups disseminate radical propaganda to recruit civilians, especially young people vulnerable to radicalization.

The main motivation of this project stems from the rise of extremist groups (e.g., Islamic State in Iraq and Syria (ISIS), White Supremacy) that were able to spread their propaganda and recruit masses in a short time. Scholars and policymakers concur that big data analytics offer an effective method of detecting and countering violent extremism. Although much has been written on how terrorist networks utilize social media for recruitment, little has been done to systematically study and understand how Extremist groups make use of mainstream resources (e.g., religious scriptures, prophetic narrative), as well as ideological resources in their discourse, in a big-social data analytic context. Thus, a pressing need exists to develop robust mechanisms to capture radical discourse online. To this end, The overall goal of this project is to develop knowledge-driven, context-aware, and innovative solutions to capture radical discourse on two social media platforms (i.e., Twitter and Reddit), using machine learning, text mining, natural language processing, and social network analysis.

The specific research goals of this project are:

Goals
  1. Advance discourse analysis on social media incorporating domain knowledge in computational models through novel techniques.
  2. Model influence of content and people in extremist networks on social media.
  3. Understand the overall architecture of online extremist discourse while systematically capturing and measuring the ideological narratives used by violent extremist actors (e.g., during recruitment).

Publications

  1. Ugur Kursuncu, Yelena Mejova, Jeremy Blackburn, Amit Sheth. Cyber Social Threats 2020 Workshop Meta-report: COVID-19, Challenges, Methodological and Ethical Considerations. Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media (AAAI-ICWSM 2020).
  2. Safadi, Hani, Weifeng Li, Pouya Rahmati, Saber Soleymani, Ugur Kursuncu, Krys Kochut, Amit Sheth. Curtailing Fake News Propagation with Psychographics. Available at SSRN 3558236 (2020).
  3. Ugur Kursuncu, Manas Gaur, Amit Sheth. Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. In Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020). Stanford University, Palo Alto, California, USA, 2020.
  4. Manas Gaur, Ugur Kursuncu, Amit Sheth, Ruwan Wickramarachchi, Shweta Yadav. Knowledge-infused Deep Learning. ACM Hypertext 2020 Tutorial.
  5. Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth. Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. In Proceedings of the ACM on Human-Computer Interaction 3, no. CSCW (2019): 1-22.
  6. Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth and I. Budak Arpinar. "Predictive Analysis on Twitter: Techniques and Applications". In "Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining", Springer Nature, 2019.
  7. Arpinar, I. Budak, Ugur Kursuncu, and Dilshod Achilov. "Social media analytics to identify and counter islamist extremism: Systematic detection, evaluation, and challenging of extremist narratives online." In 2016 International Conference on Collaboration Technologies and Systems (CTS), pp. 611-612. IEEE, 2016.

Workshops

Invited Talks

Tutorials

People

PIs: Ugur Kursuncu, Amit Sheth

Co-PIs: I. Budak Arpinar, Valerie L. Shalin, Dilshod Achilov, Krishnaprasad Thirunarayan

Graduate Students: Manas Gaur, Vedant Khandelwal

Collaborators: , Carlos Castillo

Past Members: Amanuel Alambo, Hale Inan

Social Media

Follow us on Twitter

Concurrent Projects

References

  • Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. "Feature Engineering for Twitter-based Applications", in Feature Engineering for Machine Learning and Data Analytics. Editors. Guozhu Dong and Huan Liu. Chapman and Hall/CRC Data Mining and Knowledge Discovery Series. pp 359-393, March, 2018.
  • Arpinar, I. Budak, Ugur Kursuncu, and Dilshod Achilov. "Social media analytics to identify and counter islamist extremism: Systematic detection, evaluation, and challenging of extremist narratives online." In 2016 International Conference on Collaboration Technologies and Systems (CTS), pp. 611-612. IEEE, 2016.
  • Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit P. Sheth, and Krishnaprasad Thirunarayan."Implicit Entity Linking in Tweets"In International Semantic Web Conference, pp. 118-132. Springer International Publishing; 2016.
  • Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. "Finding Street Gang Members on Twitter" In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016.