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.

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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
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article

Analysis of flows in social media uncovers a new multi-step model of information spread

Bolesław K. Szymański, Omar Ližardo, James Flamino, Matteo Serafino et al.
6 citations
Journal of Statistical Mechanics Theory and Experiment
Opinion Dynamics and Social Influence
1.69
article

Analysis of flows in social media uncovers a new multi-step model of information spread

Bolesław K. Szymański, Omar Ližardo, James Flamino, Matteo Serafino, Giulio Virginio Clemente, Hernán A. Makse
article en
6 citations

Abstract

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.

Journal of Statistical Mechanics Theory and ExperimentVol. 2024(11)
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)
Openalex Percentile: Top 16%
Opinion Dynamics and Social Influence
1.69
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