Characterizing the 2016 Russian IRA influence campaign A Badawy, A Addawood, K Lerman, E Ferrara Social Network Analysis and Mining 9 (1), 1-11, 2019 | 38 | 2019 |
Linguistic cues to deception: Identifying political trolls on social media A Addawood, A Badawy, K Lerman, E Ferrara Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 21 | 2019 |
“What is Your Evidence?” A Study of Controversial Topics on Social Media AA Addawood, MN Bashir | 21 | 2016 |
Stance classification of twitter debates: The encryption debate as a use case A Addawood, J Schneider, M Bashir Proceedings of the 8th International Conference on Social Media & Society, 1-10, 2017 | 14 | 2017 |
Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics A Addawood, R Rezapour, O Abdar, J Diesner ACL 2017, 32, 2017 | 8 | 2017 |
Usage of scientific references in MMR vaccination debates on twitter A Addawood 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 7 | 2018 |
Categorization and Comparison of Influential Twitter Users and Sources Referenced in Tweets for Two Health-Related Topics A Addawood, P Balakumar, J Diesner International Conference on Information, 639-646, 2019 | 4 | 2019 |
Lexeme: An Ontology-Based Semantic Advertising Networks L Al-Safadi, A Al-Dawood, N Abdulateef JOURNAL OF COMPUTING 2 (10), 2010 | 4 | 2010 |
Coronavirus: Public Arabic Twitter Data Set A Addawood | 2 | 2020 |
Constrained sequence-to-sequence Semitic root extraction for enriching word embeddings A El-Kishky, X Fu, A Addawood, N Sobh, C Voss, J Han Proceedings of the Fourth Arabic Natural Language Processing Workshop, 88-96, 2019 | 2 | 2019 |
Women's Driving in Saudi Arabia–Analyzing the Discussion of a Controversial Topic on Twitter A Addawood, A Alshamrani, A Alqahtani, J Diesner, D Broniatowski | 2 | 2018 |
Developing an Information Source Lexicon A Addawood, R Rezapour, S Mishra, J Schneider, J Diesner Workshop on Prioritising Online Content@ NIPS, 2017 | 2 | 2017 |
Understanding ordinary and disruptive events discussion in twitter: Barbados environmental health hazard as a use case A Alshehri, A Addawood International Conference on Intelligent Human Systems Integration, 319-325, 2019 | 1 | 2019 |
Predicting community engagement on twitter on environmental health hazards A Alshehri, W Isaacs, A Addawood, M Trotz, S Chellappan 2019 IEEE 13th International Conference on Semantic Computing (ICSC), 450-455, 2019 | 1 | 2019 |
Rewayatech: Saudi Web Novels Dataset A Addawood, D Alzeer Preprints, 2020 | | 2020 |
Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case A Addawood, A Alsuwailem, A Alohali, D Alajaji, J Alsuhaibani, F Aljabli, ... | | 2020 |
Understanding misinformation on Twitter in the context of controversial issues A Addawood University of Illinois at Urbana-Champaign, 2019 | | 2019 |
Scientific Credibility Behind MMR Vaccination Debates on Twitter A Addawood | | 2018 |
Users’ Attitudes Towards the “Going Dark” Debate A Addawood, Y Zou, M Bashir International Conference on Applied Human Factors and Ergonomics, 296-307, 2017 | | 2017 |
Semi-Automated Semantic Annotation for Semantic Advertising Networks AA Addawood, LA Al-Safadi IARIA, 2011 | | 2011 |