Modeling algorithmic bias
Simplicial Complexes and Evolving Network Topologies
Bibliographic Data
| ID | 7529197 |
|---|---|
| Authors | Valentina Pansanella (0000-0001-8106-7677, Scuola Normale Superiore, corresponding author), Giulia Rossetti (0000-0003-3373-1240, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"), Giulio Rossetti, Letizia Milli (0000-0001-5283-0477, University of Pisa) |
| Year | 2022 |
| Volume | 7 |
| Issue | 1 |
| Publication date | 2022-08-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2364-8228 • E-ISSN: 2364-8228 |
| Publisher | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1007/s41109-022-00495-7 |
| OpenAlex | W4291964067 |
| Language | EN |
| Citations received | 3 |
| References cited | 42 |
Every day, people inform themselves and create their opinions on social networks. Although these platforms have promoted the access and dissemination of information, they may expose readers to manipulative, biased, and disinformative content—co-causes of polarization/radicalization. Moreover, recommendation algorithms, intended initially to enhance platform usage, are likely to augment such phenomena, generating the so-called Algorithmic Bias . In this work, we propose two extensions of the Algorithmic Bias model and analyze them on scale-free and Erdős–Rényi random network topologies. Our first extension introduces a mechanism of link rewiring so that the underlying structure co-evolves with the opinion dynamics, generating the Adaptive Algorithmic Bias model. The second one explicitly models a peer-pressure mechanism where a majority—if there is one—can attract a disagreeing individual, pushing them to conform. As a result, we observe that the co-evolution of opinions and network structure does not significantly impact the final state when the latter is much slower than the former. On the other hand, peer pressure enhances consensus mitigating the effects of both “close-mindedness” and algorithmic filtering
Computer network · Data science · Distributed computing · Epistemology · Extension (predicate logic · Mechanism (biology · Network topology · Radicalization · Social media · Social network (sociolinguistics · World Wide Web · Complex Network Analysis Techniques · Computer Science · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Theoretical Computer Science
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| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |