| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ntalianis, Klimis | - |
| dc.contributor.author | Mastorakis, Nikolaos | - |
| dc.date.accessioned | 2024-07-12T09:21:52Z | - |
| dc.date.available | 2024-07-12T09:21:52Z | - |
| dc.date.issued | 2019-01-01 | - |
| dc.identifier | scopus-85068601312 | - |
| dc.identifier.isbn | 978-3-030-21507-1 | - |
| dc.identifier.issn | 1876-1119 | - |
| dc.identifier.issn | 1876-1100 | - |
| dc.identifier.other | 85068601312 | - |
| dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2736 | - |
| dc.description.abstract | Spam is an enemy of our resources and mood. In this paper spam detection is examined in case of social media content. In particular a typical Bayesian classifier is setup and trained on real data. Additionally a social computing method is also introduced, which analyses the attention that content receives. Finally a novel hybrid approach is implemented, where content is characterized as spam when both the Bayesian classifier and the social attention model agree on content’s evaluation. Experimental results on real world Twitter content, exhibit the promising performance of the proposed scheme. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Proceedings of the 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018) | en_US |
| dc.relation.ispartofseries | Lecture Notes in Electrical Engineering | en_US |
| dc.subject | Bayesian scheme | en_US |
| dc.subject | Social computing | en_US |
| dc.subject | Social media | en_US |
| dc.subject | Spam | en_US |
| dc.title | Spam detection in social media: A bayesian scheme based on social activity over content | en_US |
| dc.type | Conference Paper | en_US |
| dc.relation.conference | 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018), 26-28 September 2018, Dubrovnik, Croatia | en_US |
| dc.identifier.doi | 10.1007/978-3-030-21507-1_30 | en_US |
| dc.identifier.scopus | 2-s2.0-85068601312 | - |
| dcterms.accessRights | 0 | en_US |
| dc.relation.dept | Department of Business Administration | en_US |
| dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
| dc.relation.volume | 574 | en_US |
| dc.identifier.spage | 203 | en_US |
| dc.identifier.epage | 209 | en_US |
| dc.collaboration | University of West Attica (UNIWA) | en_US |
| dc.journals | Open Access | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.country | Greece | en_US |
| local.metadatastatus | verified | en_US |
| item.openairetype | Conference Paper | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.languageiso639-1 | en | - |
| crisitem.author.dept | Department of Business Administration | - |
| crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
| crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
| Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου | |
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