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Franzoni et al., 2017 - Google Patents

Clustering facebook for biased context extraction

Franzoni et al., 2017

Document ID
8727406317792599955
Author
Franzoni V
Li Y
Mengoni P
Milani A
Publication year
Publication venue
Computational Science and Its Applications–ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part I 17

External Links

Snippet

Facebook comments and shared posts often convey human biases, which play a pivotal role in information spreading and content consumption, where short information can be quickly consumed, and later ruminated. Such bias is nevertheless at the basis of human-generated …
Continue reading at link.springer.com (other versions)

Classifications

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