Vulnerability Profile of Online Social Network Users
Mikhail Monakhov, Yuri Monakhov, Andrey Telny
Available Online February 2019.
- https://doi.org/10.2991/csis-18.2019.17How to use a DOI?
- social network; information threat; emotional scaling; semantic differential; vulnerability profile; emotional index; information retrieval
- This article presents an approach to the vulnerability profiling for online social network users. The profile includes information about the socio-demographic group of the user, calculated indicators of the user's emotionality by eight scales: "Inspiration", "Uncertainty", "Anger", "Discontent", "Joy", "Fear", "Indifference", "Disorder". The authors propose a method for estimation of emotional indicators based on the users' message analysis. Associative experiment, the method of thematic classification, semantic differentials, ontology have been used in the analysis of texts. We use the PMI (Pointwise Mutual Information) index as a numerical characteristic of emotionality. The authors analyze the pilot research results and make recommendations concerning the application of the proposed approach.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Mikhail Monakhov AU - Yuri Monakhov AU - Andrey Telny PY - 2019/02 DA - 2019/02 TI - Vulnerability Profile of Online Social Network Users BT - International Conference Communicative Strategies of Information Society (CSIS 2018) PB - Atlantis Press SP - 84 EP - 88 SN - 2352-5398 UR - https://doi.org/10.2991/csis-18.2019.17 DO - https://doi.org/10.2991/csis-18.2019.17 ID - Monakhov2019/02 ER -