A Human-Machine Collaborative System for Identifying Rumors on Twitter
The spread of rumors on social media, especially in time-sensitive situations such as real-world emergencies, can have harmful effects on individuals and society. In this work, we developed a human-machine collaborative system on Twitter for fast identification of rumors about real-world events. The...
| Main Authors: | , |
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| Other Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2016-02-24T14:43:48Z.
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| Subjects: | |
| Online Access: | Get fulltext |