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Alexander Nwala
PeerJ Editor
800 Points

Contributions by role

Editor 800

Contributions by subject area

Computer Education
Data Science
Mobile and Ubiquitous Computing
Software Engineering
Network Science and Online Social Networks
Social Computing
Sentiment Analysis
Artificial Intelligence
Digital Libraries
Natural Language and Speech
Text Mining
Neural Networks
Human-Computer Interaction
Data Mining and Machine Learning
World Wide Web and Web Science
Visual Analytics
Computer Networks and Communications
Emerging Technologies
Cryptocurrency
Blockchain

Alexander C Nwala

PeerJ Editor

Summary

Dr. Alexander C. Nwala is an assistant professor of Data Science at William and Mary (W&M). Before joining W&M, he was a postdoc at the Observatory on Social Media, Indiana University, Bloomington, with a research focus on dis/misinformation diffusion, detection, and countering of online manipulation. He received his PhD in Computer Science at Old Dominion University and has contributed multiple important tools and datasets to the data/web science, social media, (local) news, and web archiving communities.

Dr. Nwala has taught Computer Science courses to High School, Undergraduate, and Graduate students and has collaborated across disciplines and institutions, including with computer scientists/journalists at IU, archivists at the National Library of Medicine, and lawyers at Harvard. And his research has been published in multiple peer-reviewed Journals and Conferences.

Data Science Network Science & Online Social Networks World Wide Web & Web Science

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

College of William and Mary

Work details

Assistant Professor

College of William and Mary
Data Science
My research interests include Social media/network analysis, computational social science, web/data science, web archiving, (local)news, and NLP.

Identities

@acnwala

Websites

  • Google Scholar
  • Personal website

PeerJ Contributions

  • Edited 1

Academic Editor on

December 10, 2024
An ensemble approach for research article classification: a case study in artificial intelligence
Min Lu, Lie Tang, Xianke Zhou
https://doi.org/10.7717/peerj-cs.2521