Name
Abstract | ||
|---|---|---|
The huge amount of tweets posted during a disaster event includes information about the present situation as well as the emotions/opinions of the masses. While looking through these tweets, we realized that a large amount of communal tweets, i.e., abusive posts targeting specific religious/racial groups are posted even during natural disasters-this paper focuses on such category of tweets, which i... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSS.2018.2802942 | IEEE Transactions on Computational Social Systems |
Keywords | Field | DocType |
Speech,Twitter,Facebook,Government,Feature extraction,Data mining | Internet privacy,Social media,Social network,Computer science,Microblogging,Artificial intelligence,Situational ethics,Classifier (linguistics),Machine learning,Government | Journal |
Volume | Issue | ISSN |
5 | 2 | 2329-924X |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koustav Rudra | 1 | 78 | 9.08 |
| Ashish Sharma | 2 | 25 | 4.89 |
| Niloy Ganguly | 3 | 1306 | 121.03 |
| Saptarshi Ghosh | 4 | 594 | 53.82 |