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Aseel Addawood

Characterizing the 2016 Russian IRA influence campaign
2019 · Adam Badawy, Aseel Addawood, et al. · Social Network Analysis and Mining · 109
Linguistic Cues to Deception: Identifying Political Trolls on Social Media
2019 · Aseel Addawood, Adam Badawy, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 92
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"What Is Your Evidence?" A Study of Controversial Topics on Social Media
2016 · Aseel Addawood, Masooda Bashir · Workshop on Argument Mining (ArgMining) · 46
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Stance Classification of Twitter Debates
2017 · Aseel Addawood, Jodi Schneider, et al. · 30
A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia
2021 · Ashwag Alasmari, Aseel Addawood, et al. · Future Internet · 21
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Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics
2017 · Aseel Addawood, Rezvaneh Rezapour, et al. · 21
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Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case
2020 · Aseel Addawood, Alhanouf Alsuwailem, et al. · 17
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Coronavirus: Public Arabic Twitter Dataset
2020 · Aseel Addawood · Preprints.org · 11
Usage of Scientific References in MMR Vaccination Debates on Twitter
2018 · Aseel Addawood · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 10
Women's driving in Saudi Arabia-analyzing the discussion of a controversial topic on twitter
2018 · Aseel Addawood, Amirah Alshamrani, et al. · 6
Rewayatech: Saudi Web Novels Dataset
2020 · Aseel Addawood, Daliyah Alzeer · Preprints.org · 2
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Categorization and Comparison of Influential Twitter Users and Sources Referenced in Tweets for Two Health-Related Topics
2019 · Aseel Addawood, Priyanka Balakumar, et al. · Lecture notes in computer science · 2
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings
2019 · Ahmed El-Kishky, Xingyu Fu, et al. · Arabic Natural Language Processing Workshop (WANLP) · 2
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Characterizing the 2016 Russian IRA Influence Campaign
2018 · Badawy, Adam, Addawood, Aseel, et al. · arXiv (Cornell University) · 1
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Users’ Attitudes Towards the “Going Dark” Debate
2017 · Aseel Addawood, Yixin Zou, et al. · Advances in intelligent systems and computing · 1
Understanding misinformation on Twitter in the context of controversial issues
2019 · Aseel Addawood · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
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Understanding Ordinary and Disruptive Events Discussion in Twitter: Barbados Environmental Health Hazard as a Use Case
2019 · Adel Alshehri, Aseel Addawood · Advances in intelligent systems and computing
Predicting Community Engagement on Twitter on Environmental Health Hazards
2019 · Adel Alshchri, Wainella Isaacs, et al. · IEEE International Conference on Semantic Computing (ICSC)
Scientific Credibility Behind MMR Vaccination Debates on Twitter
2018 · Aseel Addawood · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
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Semi-Automated Semantic Annotation for Semantic Advertising Networks
2011 · Aseel Addawood, Lilac Al-Safadi · International Conference on Advances in Information Mining and Management
Works count: 22
Citation count: 370
H-index: 9
I10-index: 9
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