David Beskow
David Beskow
U.S. Army
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Zitiert von
Zitiert von
Bot conversations are different: leveraging network metrics for bot detection in twitter
DM Beskow, KM Carley
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
Introducing bothunter: A tiered approach to detection and characterizing automated activity on twitter
D Beskow, KM Carley, H Bisgin, A Hyder, C Dancy, R Thomson
International conference on social computing, behavioral-cultural modeling …, 2018
Social Cybersecurity: An Emerging National Security Requirement
DM Beskow, KM Carley
Military Review 99 (2), 117-127, 2019
Its all in a name: detecting and labeling bots by their name
DM Beskow, KM Carley
Computational and Mathematical Organization Theory 25 (1), 24-35, 2019
The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning
DM Beskow, S Kumar, KM Carley
Information Processing & Management 57 (2), 102170, 2020
Using random string classification to filter and annotate automated accounts
DM Beskow, KM Carley
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2018
Characterization and comparison of Russian and Chinese disinformation campaigns
DM Beskow, KM Carley
Disinformation, misinformation, and fake news in social media, 63-81, 2020
Agent based simulation of bot disinformation maneuvers in Twitter
DM Beskow, KM Carley
2019 Winter simulation conference (WSC), 750-761, 2019
Different Faces of False: The Spread and Curtailment of False Information in the Black Panther Twitter Discussion
M Babcock, DM Beskow, KM Carley
Journal of Data and Information Quality (JDIQ) 11 (4), 1-15, 2019
Beaten Up on Twitter? Exploring Fake News and Satirical Responses During the Black Panther Movie Event
M Babcock, DM Beskow, KM Carley
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2018
You are known by your friends: Leveraging network metrics for bot detection in twitter
DM Beskow, KM Carley
Open Source Intelligence and Cyber Crime, 53-88, 2020
Geospatial Point Density.
PF Evangelista, D Beskow
R Journal 10 (2), 2018
Graph-hist: Graph classification from latent feature histograms with application to bot detection
T Magelinski, D Beskow, KM Carley
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5134-5141, 2020
Trident joust 2017, after action report
KM Carley, DM Beskow
Center for the Computational Analysis of Social and Organizational Systems, 2017
Data Collection, Fusion, and Visualization for Decision Making in Stability Operations
D Beskow, D Blum, N Gustafson, E Kern, J Waggoner
IIE Annual Conference. Proceedings, 1129, 2014
Finding and Characterizing Information Warfare Campaigns
D Beskow
Carnegie Mellon University, 2020
Decision Support Tool for the Global Reaction Force Outload Process
D Beskow, Z Horovitz, T Maeker, M Malta, T Schafer, B Hung, R Croft
IIE Annual Conference. Proceedings, 2702, 2014
Increasing learning with Ipads and social media
D Beskow, AK Deb
Unpublished master’s thesis). Center for Teaching Excellence, United States …, 2013
Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic
DM Beskow, KM Carley
arXiv preprint arXiv:2008.10102, 2020
Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
DM Beskow, KM Carley
arXiv preprint arXiv:2007.07636, 2020
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