Data Analytics, Data Mining, and Machine Learning for Social Media

All is Fair in Love and War: Moral Foundations in English-Language Tweets during the First 36 Weeks of Conflict Between Ukraine and Russia

Eimon Amjadi, University of Southern California
Richard John, University of Southern California

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Effectively Delivering Author’s Point to Reader: Pointer-Generator Network Approach

Hyeonjo Kim, University of Hawaii at Manoa
Sukhwa Hong, University of Hawaii

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Enhancing User Behavior Modeling via Machine Learning with Combined Text and Image Data

Chad Crowe, University of Nebraska at Omaha
Brian Ricks, University of Nebraska at Omaha
Margeret Hall, University of Nebraska at Omaha

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Fake news detection by Machine Learning in Latin America: A Systematic Review

Jean Gabriel Nguema Ngomo, Uniro - Federal University of State of Rio de Janeiro
Raquel Torres De Paiva, Federal University of the State of Rio de Janeiro - UNIRIO
Ana Cristina Garcia, Universidade Federal do Estado do Rio de Janeiro

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From Virality to Veracity: Examining False Information on Telegram vs. Twitter

Jonas Rieskamp, University of Bamberg
Milad Mirbabaie, University of Bamberg
Marie Langer, Paderborn University
Alexander Kocur, University of Potsdam

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How COVID-19 Conspiracy Theories Spread on Twitter

Anatoliy Gruzd, Toronto Metropolitan University
Amira Ghenai, Toronto Metropolitan University
Philip Mai, Toronto Metropolitan University

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Inferences from Social Media Conversations about the Adoption of Chatbots

V. Phoebe Pawlik, Technical University of Munich
Yan Pan, Technical University of Munich

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Introduction to the Minitrack on Data Analytics, Data Mining, and Machine Learning for Social Media

Kevin Mentzer, Nichols College
Natalie Gerhart, Creighton University
David Yates, Bentley University

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Systematic Contextual-based Affinity Analytics Research on Association of Manager Response and Customer Reviews

Xavier Babu, University of Massachusetts Lowell
Juheng Zhang, University of Massachusetts Lowell

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Visual Uniqueness: An Unsupervised Contrast Learning Approach

Xiaohang Feng, Carnegie Mellon University
Charis Li, Grenoble Ecole de Management
Shunyuan Zhang, Harvard University

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What if Social Bots Be My Friends? Estimating Causal Effect of Social Bots Using Counterfactual Graph Learning

Ziyue Wu, Zhejiang University
Yiqun Zhang, Zhejiang University
Xi Chen, Zhejiang University

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What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media

Junwei Kuang, Beijing Institute of Technology
Jiaheng Xie, University of Delaware
Zhijun Yan, Beijing Institute of Technology

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