Publications

Shailik Sarkar, Abdulaziz Alhamadani, Lulwah AlKulaib, Chang-Tien Lu (2022). Predicting depression and anxiety on reddit: a multi-task learning approach. 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Lulwah AlKulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu (2022). HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. 2022 IEEE International Conference on Big Data (Big Data).

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah AlKulaib, Chang-Tien Lu (2022). DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. 2022 IEEE International Conference on Big Data (Big Data).

Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah AlKulaib, Chang-Tien Lu (2021). Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis. 2021 IEEE International Conference on Big Data (Big Data).

Lulwah AlKulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu (2020). Collect Ethically: Reduce Bias in Twitter Datasets. Information Management and Big Data.

David A. Broniatowski, Amelia M. Jamison, SiHua Qi, Lulwah AlKulaib, Tao Chen, Adrian Benton, Sandra C. Quinn, Mark Dredze (2018). Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate.

(2018). NYT coverage of our "Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate" paper.. Russian Trolls Used Vaccine Debate to Sow Discord, Study Finds.

Lulwah Ahmad AlKulaib (2018). Twitter Bots Multiclass Classification Using Bot-Like Behavior Features..

SiHua Qi, Lulwah AlKulaib, David A. Broniatowski (2018). Detecting and Characterizing Bot-Like Behavior on Twitter. Social, Cultural, and Behavioral Modeling.

Robert Pless, Rebecca Begtrup, Lulwah AlKulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski (2017). Recognizing Images of Eating Disorders in Social Media.. SMM4H@ AMIA.