| dc.contributor.author | Vosoughi, Soroush | |
| dc.contributor.author | Roy, Deb K | |
| dc.date.accessioned | 2016-02-24T14:43:48Z | |
| dc.date.available | 2016-02-24T14:43:48Z | |
| dc.date.issued | 2015-11 | |
| dc.identifier.isbn | 978-1-4673-8493-3 | |
| dc.identifier.isbn | 978-1-4673-8492-6 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/101248 | |
| dc.description.abstract | 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 system reduces the amount of information that users have to sift through in order to identify rumors about real-world events by several orders of magnitude. | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://dx.doi.org/ 10.1109/ICDMW.2015.221 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Vosoughi | en_US |
| dc.title | A Human-Machine Collaborative System for Identifying Rumors on Twitter | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Vosoughi, Soroush, and Deb Roy. “A Human-Machine Collaborative System for Identifying Rumors on Twitter.” 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (November 2015). | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | en_US |
| dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
| dc.contributor.approver | Vosoughi, Soroush | en_US |
| dc.contributor.mitauthor | Vosoughi, Soroush | en_US |
| dc.contributor.mitauthor | Roy, Deb K. | en_US |
| dc.relation.journal | Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.orderedauthors | Vosoughi, Soroush; Roy, Deb | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-2564-8909 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-4333-7194 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |
