Analysis of flows in social media uncovers a new multi-step model of information spread
Abstract Since the advent of the internet, communication paradigms have continuously evolved, resulting in a present-day landscape where the dynamics of information dissemination have undergone a complete transformation compared to the past. In this study, we challenge the conventional two-step flow communication model, a long-standing paradigm in the field. Our approach introduces a more intricate multi-step and multi-actor model that effectively captures the complexities of modern information spread. We test our hypothesis by examining the spread of information on the Twitter platform. Our findings support the multi-step and multi-actor model hypothesis. In this framework, influencers (individuals with a significant presence in social media) emerge as new central figures and partially take on the role previously attributed to opinion leaders. However, this does not apply to opinion leaders who adapt and reaffirm their influential position on social media, here defined as opinion-leading influencers. Additionally, we note a substantial number of adopters directly accessing information sources, suggesting a potential decline in influence in both opinion leaders and influencers. Finally, we found distinctions in the diffusion patterns of left-/right-leaning groups, indicating variations in the underlying structure of information dissemination across different ideologies.
Authors
- Bolesław K. Szymański (ORCID: https://orcid.org/0000-0002-0307-6743)
- Omar Ližardo (ORCID: https://orcid.org/0000-0002-5405-3007)
- James Flamino (ORCID: https://orcid.org/0000-0002-2753-5481)
- Matteo Serafino (ORCID: https://orcid.org/0000-0002-7907-1375)
- Giulio Virginio Clemente
- Hernán A. Makse (ORCID: https://orcid.org/0000-0001-6474-1324)
Institutions
- City College of New York (US)
- IMT School for Advanced Studies Lucca (IT)
- University of California, Los Angeles (US)
- Rensselaer Polytechnic Institute (US)
- Społeczna Akademia Nauk (PL)
Publication Details
- Journal
- Journal of Statistical Mechanics Theory and Experiment
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1088/1742-5468/ad8748
- Citations
- 6
- Primary Topic
- Opinion Dynamics and Social Influence
- Type
- article
- Field-Weighted Citation Impact
- 1.69