A semi-supervised approach to message stance classification
Social media communications are becoming increasingly prevalent; some useful, some false, whether unwittingly or maliciously. An increasing number of rumours daily flood the social networks. Determining their veracity in an autonomous way is a very active and challenging field of research, with a va...
Main Authors: | , , , |
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Format: | Journal article |
Language: | English |
Published: |
IEEE
2018
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