| Autor: |
Goncharov, Y, Zarubin, V, Kalashnikov, A, Tolstykh, N, Nuzhnyy, A M |
| Zdroj: |
IOP Conference Series: Materials Science and Engineering; May 2019, Vol. 537 Issue: 5 p052022-052022, 1p |
| Abstrakt: |
This paper explores the parameters of network and content in the social network for sharing media, which affect its popularity. To assessment the danger of content and its distribution channel, emotions are used, which the content transmits and the distribution channel parameters: the number and length of content, audience size, likes, dislikes, intersection of audiences, the number of content created in the past, keywords and tags. The paper also presents the results of content risk assessment based on selected parameters. The proposed parameters and the method of their assessment are applicable in systems with a high level of automation to identify the most harmful sources of information on the social network for sharing media. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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