Vulnerability Profile of Online Social Network Users

DOI

10.2991/csis-18.2019.17How to use a DOI?

Keywords

social network; information threat; emotional scaling; semantic differential; vulnerability profile; emotional index; information retrieval

Abstract

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/csis-18.2019.17
ID  - Monakhov2019/02
ER  -