Research Advances on User Interactions in Social Media Using Data Science Approaches
Source abstract
Abstract
We are delighted to welcome readers to this Special Issue on “Research Advances on User Interactions in Social Media Using Data Science Approaches” [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Complex Network Analysis Techniques · Misinformation and Its Impacts · Opinion Dynamics and Social Influence
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Fine Arts Department, University of Salamanca, 37005 Salamanca, Spain
IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA
References (9)
Show source-provided references
1. Wilson, C., Boe, B., Sala, A., Puttaswamy, K.P., and Zhao, B.Y. (2009, January 1–3). User interactions in social networks and their implications. Proceedings of the 4th ACM European Conference on Computer Systems, Nuremberg, Germany.10.1145/1519065.1519089 ↗
2. Understanding user behavior in online social networks: A survey10.1109/MCOM.2013.6588663 ↗
3. Visual Literacy in New Media: Systematic Review and Mapping of the Literature
4. Assessing Visual Literacy in the Consumers of New Technologies: A Cultural Perspective
5. García-Peñalvo, F.J. (2018). Developing a Research Method to Analyze Visual Literacy Based on Cross-Cultural Characteristics. Global Implications of Emerging Technology Trends, IGI Global.10.4018/978-1-5225-4944-4.ch002 ↗
6. tom Diek, M.C., Jung, T.H., and Loureiro, S.M.C. (2021). User responses towards augmented reality face filters: Implications for social media and brands. Augmented Reality and Virtual Reality, Springer.10.1007/978-3-030-68086-2 ↗
7. Algorithmic amplification of politics on Twitter
8. Social network analysis of COVID-19 sentiments: Application of artificial intelligence10.2196/22590 ↗
9. Critical impact of social networks infodemic on defeating coronavirus COVID-19 pandemic: Twitter-Based study and research directions10.1109/TNSM.2020.3031034 ↗