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ORCIDIain Cruickshank
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2020 – today
- 2024
[j9]Seth P. Benson
, Iain J. Cruickshank:
Developing a Natural Language Understanding Model to Characterize Cable News Bias. IEEE Access 12: 31798-31807 (2024)- [c8]Ian Kloo, Iain J. Cruickshank, Kathleen M. Carley:
A Cross-Platform Topic Analysis of the Nazi Narrative on Twitter and Telegram during the 2022 Russian Invasion of Ukraine. ICWSM 2024: 839-850 - [c7]Iain J. Cruickshank, Nathaniel D. Bastian, Jean R. S. Blair, Christa M. Chewar, Edward Sobiesk:
Seeing the Whole Elephant - A Comprehensive Framework for Data Education. SIGCSE (1) 2024: 248-254 - [i14]Iain J. Cruickshank, Lynnette Hui Xian Ng:
DIVERSE: Deciphering Internet Views on the U.S. Military Through Video Comment Stance Analysis, A Novel Benchmark Dataset for Stance Classification. CoRR abs/2403.03334 (2024) - [i13]Jessica Zhu, Iain Cruickshank, Michel Cukier:
DocNet: Semantic Structure in Inductive Bias Detection Models. CoRR abs/2406.10965 (2024) - [i12]Lynnette Hui Xian Ng, Iain Cruickshank, Roy Ka-Wei Lee:
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification. CoRR abs/2407.17688 (2024) - [i11]David Farr, Nico Manzonelli, Iain Cruickshank, Jevin West:
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science. CoRR abs/2408.08217 (2024) - 2023
- [j8]Lynnette Hui Xian Ng, Iain J. Cruickshank, Kathleen M. Carley:
Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots. Comput. Math. Organ. Theory 29(3): 470-486 (2023) - [j7]Lynnette Hui Xian Ng, Iain J. Cruickshank:
Recruitment Promotion via Twitter: A Network-centric Approach of Analyzing Community Engagement Using Social Identity. Digit. Gov. Res. Pract. 4(4): 22:1-22:17 (2023) - [c6]Katherine R. Maffey, Kyle Dotterrer, Jennifer Niemann, Iain Cruickshank, Grace A. Lewis, Christian Kästner:
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities. ICSE (NIER) 2023: 31-36 - [i10]Katherine R. Maffey, Kyle Dotterrer, Jennifer Niemann, Iain Cruickshank, Grace A. Lewis, Christian Kästner:
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities. CoRR abs/2303.01998 (2023) - [i9]Alexander M. Berenbeim, Iain J. Cruickshank, Susmit Jha, Robert H. Thomson, Nathaniel D. Bastian:
Measuring Classification Decision Certainty and Doubt. CoRR abs/2303.14568 (2023) - [i8]Iain J. Cruickshank, Jessica Zhu, Nathaniel D. Bastian:
Analysis of Media Writing Style Bias through Text-Embedding Networks. CoRR abs/2305.13098 (2023) - [i7]Iain J. Cruickshank, Lynnette Hui Xian Ng:
Use of Large Language Models for Stance Classification. CoRR abs/2309.13734 (2023) - [i6]Seth P. Benson, Iain J. Cruickshank:
Developing a Natural Language Understanding Model to Characterize Cable News Bias. CoRR abs/2310.09166 (2023) - 2022
- [j6]Joshua Uyheng, Iain J. Cruickshank, Kathleen M. Carley:
Mapping state-sponsored information operations with multi-view modularity clustering. EPJ Data Sci. 11(1): 25 (2022) - [j5]Lynnette Hui Xian Ng, Iain J. Cruickshank, Kathleen M. Carley:
Cross-platform information spread during the January 6th capitol riots. Soc. Netw. Anal. Min. 12(1): 133 (2022) - 2021
- [c5]Richard Kuzma, Iain J. Cruickshank, Kathleen M. Carley:
Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality. COMPLEX NETWORKS 2021: 89-99 - [i5]Lynnette Hui Xian Ng, Iain Cruickshank, Kathleen M. Carley:
Coordinating Narratives and the Capitol Riots on Parler. CoRR abs/2109.00945 (2021) - [i4]Richard Kuzma, Iain J. Cruickshank, Kathleen M. Carley:
Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality. CoRR abs/2110.04899 (2021) - [i3]Gian Maria Campedelli, Iain J. Cruickshank, Kathleen M. Carley:
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations. CoRR abs/2112.07998 (2021) - 2020
- [b1]Iain Cruickshank:
Multi-view Clustering of Social-based Data. Carnegie Mellon University, USA, 2020 - [j4]Iain Cruickshank, Kathleen M. Carley:
Analysis of Malware Communities Using Multi-Modal Features. IEEE Access 8: 77435-77448 (2020) - [j3]Iain J. Cruickshank, Kathleen M. Carley:
Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering. Appl. Netw. Sci. 5(1): 66 (2020) - [j2]Iain Cruickshank, Anthony Johnson, Timothy Davison, Matthew Elder, Kathleen M. Carley:
Detecting malware communities using socio-cultural cognitive mapping. Comput. Math. Organ. Theory 26(3): 307-319 (2020) - [c4]Iain J. Cruickshank, Kathleen M. Carley:
Clustering Analysis of Website Usage on Twitter During the COVID-19 Pandemic. SIMBig 2020: 384-399 - [i2]Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley:
A Complex Networks Approach to Find Latent Clusters of Terrorist Groups. CoRR abs/2001.03367 (2020) - [i1]Iain J. Cruickshank, Kathleen M. Carley:
Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering. CoRR abs/2008.01139 (2020)
2010 – 2019
- 2019
- [j1]Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley:
A complex networks approach to find latent clusters of terrorist groups. Appl. Netw. Sci. 4(1): 59:1-59:22 (2019) - 2018
- [c3]Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley:
Detecting Latent Terrorist Communities Testing a Gower's Similarity-Based Clustering Algorithm for Multi-partite Networks. COMPLEX NETWORKS (1) 2018: 292-303 - [c2]Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley:
Complex Networks for Terrorist Target Prediction. SBP-BRiMS 2018: 348-353
2000 – 2009
- 2009
- [c1]Iain Cruickshank:
Terrorism Analysis Through Export Networks. IKE 2009: 28-34
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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