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1 Ergebnisse
1
Analysis of COVID-19 Offensive Tweets and Their Targets:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Liao, Song
;
Okpala, Ebuka
;
Cheng, Long
... - p. 4473-4484 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599773
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Analysis of COVID-19 Offensive Tweets and Their Targets</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599773&Exemplar=1&LAN=DE A1 Liao, Song A1 Okpala, Ebuka A1 Cheng, Long A1 Li, Mingqi A1 Vishwamitra, Nishant A1 Hu, Hongxin A1 Luo, Feng A1 Costello, Matthew PB ACM YR 2023 K1 covid-19 K1 offensive tweets K1 twitter K1 Networks K1 Network types K1 Overlay and other logical network structures K1 Social media networks K1 Human-centered computing K1 Collaborative and social computing K1 Collaborative and social computing theory, concepts and paradigms K1 Social media SP 4473 OP 4484 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599773 DO https://dl.acm.org/doi/10.1145/3580305.3599773 SF ELIB - SuUB Bremen
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