Liao, Song, Okpala, Ebuka, Cheng, Long, Li, Mingqi, Vishwamitra, Nishant, Hu, Hongxin, Luo, Feng, and Costello, Matthew John. Analysis of COVID-19 Offensive Tweets and Their Targets. Retrieved from https://par.nsf.gov/biblio/10471437. Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023) . Web. doi:10.1145/3580305.3599773.

Liao, Song, Okpala, Ebuka, Cheng, Long, Li, Mingqi, Vishwamitra, Nishant, Hu, Hongxin, Luo, Feng, & Costello, Matthew John. Analysis of COVID-19 Offensive Tweets and Their Targets. Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), (). Retrieved from https://par.nsf.gov/biblio/10471437. https://doi.org/10.1145/3580305.3599773

Liao, Song, Okpala, Ebuka, Cheng, Long, Li, Mingqi, Vishwamitra, Nishant, Hu, Hongxin, Luo, Feng, and Costello, Matthew John. "Analysis of COVID-19 Offensive Tweets and Their Targets". Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023) (). Country unknown/Code not available: ACM. https://doi.org/10.1145/3580305.3599773. https://par.nsf.gov/biblio/10471437.

@article{osti_10471437,
place = {Country unknown/Code not available}, title = {Analysis of COVID-19 Offensive Tweets and Their Targets}, url = {https://par.nsf.gov/biblio/10471437}, DOI = {10.1145/3580305.3599773}, abstractNote = {}, journal = {Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023)}, publisher = {ACM}, author = {Liao, Song and Okpala, Ebuka and Cheng, Long and Li, Mingqi and Vishwamitra, Nishant and Hu, Hongxin and Luo, Feng and Costello, Matthew John}, }