Conference proceeding
User Interaction Profiling on Facebook, Twitter, and Google plus across Radio Stations
2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), pp 1657-1666
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Given the proliferation of social media in mass media contexts, how do media and their users interact on them? Guided by parasocial interaction and multiplexity theory, the interaction between 223 Italian radio stations and their users was analyzed. Social network analysis was performed to identify the interconnectedness across radio stations and three social media platforms: Facebook, Twitter, and Google+. Findings revealed that radio stations did utilize multiple platforms, yet, the interactions were limited to content redistribution and repetition. As for the users, contrary to expected favoring of one specific radio, a large proportion of users interacted with multiple radio stations by fulfilling their individual instrumental goals. The results of this study were foregrounded in instrumental social capital framework. Implications of multiple interaction across platforms and radio stations signal the need to reconceptualize the instrumental needs users in light of this cross-platform behavior.
Metrics
Details
- Title
- User Interaction Profiling on Facebook, Twitter, and Google plus across Radio Stations
- Creators
- Asta Zelenkauskaite - Drexel UniversityBruno Simoes - Fdn Graphitech, Trento, Italy
- Contributors
- T X Bui (Editor)R H Sprague (Editor)
- Publication Details
- 2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), pp 1657-1666
- Series
- Proceedings of the Annual Hawaii International Conference on System Sciences
- Publisher
- IEEE
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Communication
- Web of Science ID
- WOS:000366264101078
- Scopus ID
- 2-s2.0-84944248258
- Other Identifier
- 991019168171204721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Operations Research & Management Science