Social Networks as a Tool for a Higher Education Institution Image Creation
September 04, 2019 Β· Declared Dead Β· π International Workshop on Control, Optimisation and Analytical Processing of Social Networks
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Olha Anisimova, Valeriia Vasylenko, Solomia Fedushko
arXiv ID
1909.01678
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.SI
Citations
19
Venue
International Workshop on Control, Optimisation and Analytical Processing of Social Networks
Last Checked
4 months ago
Abstract
The article presents the dynamics of social networks users increase, depending on the total world population from 2010 to 2018. It also identifies the most popular social networks in Ukraine. The systematic risk indicator of using social networks relative to the total number of Internet resources users is determined. Types of social intercourse in the process of the higher education institution image creation are presented. The peculiarities of using social networks in the formation of a positive image of an educational institution are highlighted. The statistical indicators of user actions in the official group of the Faculty of Mathematics and Information Technologies of Vasyl Stus Donetsk National University in January, February and March 2019 are presented, as well as the average attraction coefficient of users depending on the subject of publications. The main technologies of astroturfing in the creation process of the higher education institution negative image are considered.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted