Social, cultural, and behavioral modeling : 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18-21, 2020, proceedings / Robert Thomson, Halil Bisgin, Christopher Dancy, Ayaz Hyder, Muhammad Hussain (eds.).

Includes bibliographic references at chapter ends, and author index.

Beyond words : comparing structure, emoji use, and consistency across social media posts / Melanie Swartz, Andrew Crooks, and Arie Croitoru -- Bot impacts on public sentiment and community structures : comparative analysis of three elections in the Asia-Pacific / Joshua Uyheng and Kathleen M. Carley -- Understanding colonial legacy and environmental issues in Senegal through language use / Kamwoo Lee, Jeanine Braithwaite, and Michel Atchikpa -- Deploying system dynamics models for disease surveillance in the Philippines / Joshua Uyheng, Christian E. Pulmano, and Ma. Regina Justina Estuar -- MDR cluster-debias : a nonlinear word embedding debiasing pipeline / Yuhao Du and Kenneth Joseph -- Modeling interventions for insider threat / Luke J. Osterritter and Kathleen M. Carley -- Validating social media monitoring : statistical pitfalls and opportunities from public opinion / Michael C. Smith, Thomas A. Mazzuchi, and David A. Broniatowski -- Lying about lying on social media : a case study of the 2019 Canadian elections / Catherine King, Daniele Bellutta, and Kathleen M. Carley -- Breadth verses depth : the impact of tree structure on cultural influence / Rhodri L. Morris, Liam D. Turner, Roger M. Whitaker, and Cheryl Giammanco -- Optimizing attention-aware opinion seeding strategies / Charles E. Martin, Dana Warmsley, and Samuel D. Johnson -- Polarizing tweets on climate change / Aman Tyagi, Matthew Babcock, Kathleen M. Carley, and Douglas C. Sicker -- Characterizing sociolinguistic variation in the competing vaccination communities / Shahan Ali Memon, Aman Tyagi, David R. Mortensen, and Kathleen M. Carley -- On countering disinformation with caution : effective inoculation strategies and others that backfire into community hyper-polarization / Amirarsalan Rajabi, Chathika Gunaratne, Alexander V. Mantzaris, and Ivan Garibay -- Homicidal event forecasting and interpretable analysis using hierarchical attention model / Angeela Acharya, Jitin Krishnan, Desmond Arias, and Huzefa Rangwala -- Development of a hybrid machine learning agent based model for optimization and interpretability / Paul Cummings and Andrew Crooks -- Canadian federal election and hashtags that do not belong / Thomas Magelinski, Mihovil Bartulovic, and Kathleen M. Carley -- Group formation theory at multiple scales / Casey Doyle, Asmeret Naugle, Michael Bernard, Kiran Lakkaraju, Robert Kittinger, Matthew Sweitzer, and Fred Rothganger --

Towards agent validation of a military cyber team performance simulation / Geoffrey B. Dobson and Kathleen M. Carley -- Developing graph theoretic techniques to identify amplification and coordination activities of influential sets of users / Mustafa Alassad, Muhammad Nihal Hussain, and Nitin Agarwal -- Detecting online hate speech : approaches using weak supervision and network embedding models / Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, and Siddharth Krishnan -- Critical spatial clusters for vaccine preventable diseases / Jose Cadena, Achla Marathe, and Anil Vullikanti -- Multi-cause discrimination analysis using potential outcomes / Wen Huang, Yongkai Wu, and Xintao Wu -- Twitter is the megaphone of cross-platform messaging on the white helmets / Sameera Horawalavithana, Kin Wai Ng, and Adriana Iamnitchi -- Learning behavioral representations from wearable sensors / Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, and Kristina Lerman -- The rise and fall of humanitarian citizen initiatives : a simulation-based approach / Erika Frydenlund, Jose Padilla, Hanne Haaland, and Hege Wallevik -- Developing an epidemiological model to study spread of toxicity on YouTube / Adewale Obadimu, Esther Mead, Maryam Maleki, and Nitin Agarwal -- Predicting student flight performance with multimodal features / Zerong Xi, Olivia Newton, Greg McGowin, Gita Sukthankar, Steve Fiore, and Kevin Oden -- A game-transformation-based framework to understand initial conditions and outcomes in the context of cyber-enabled influence operations (CIOs) / Girish Sreevatsan Nandakumar and Jose Padilla -- The human resource management parameter experimentation tool / Carmen Iasiello, Andrew Crooks, and Sarah Wittman -- Utilizing Python for agent-based modeling : the Mesa framework / Jackie Kazil, David Masad, and Andrew Crooks -- Strategic information operation in YouTube : the case of the white helmets / Nazim Choudhury, Kin Wai Ng, and Adriana Iamnitchi -- Artifacts of crisis : textual analysis of Euromaidan / Thomas Magelinski, Zachary K. Stine, Thomas Marcoux, Nitin Agarwal, and Kathleen M. Carley -- Modeling decisions from experience among frequent and infrequent switchers via strategy-based and instance-based models / Neha Sharma and Varun Dutt.

This book constitutes the proceedings of the 13th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2020, which was planned to take place in Washington, DC, USA. Due to the COVID-19 pandemic the conference was held online during October 18-21, 2020. The goal of this conference is to build this new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government, and military communities interested in understanding, forecasting, and impacting human sociocultural behavior. It is the charge of this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. As the papers in this volume show, people, theories, methods, and data from a wide number of disciplines are represented including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used, such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.

Online resource; title from PDF title page (SpringerLink, viewed December 14, 2020).