ArticleScientific reports2020
Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
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- Evaluating the Structural Robustness of Large-Scale Emerging Industry with Blurring Boundaries.Entropy (Basel, Switzerland) · 2022Article
- Bow-tie structures of twitter discursive communities.Scientific reports · 2022Article
- Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election.EPJ data science · 2022Article
- Article
- Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms.Scientific reports · 2021Article
- Hidden order across online extremist movements can be disrupted by nudging collective chemistry.Scientific reports · 2021Article
- Percolation on feature-enriched interconnected systems.Nature communications · 2021Article
- #Scamdemic, #Plandemic, or #Scaredemic: What Parler Social Media Platform Tells Us about COVID-19 Vaccine.Vaccines · 2021Article
- Flow of online misinformation during the peak of the COVID-19 pandemic in Italy.EPJ data science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Online social networks are the perfect test bed to better understand large-scale human behavior in interacting contexts. Although they are broadly used and studied, little is known about how their terms of service and posting rules affect the way users interact and information spreads. Acknowledging the relation between network connectivity and functionality, we compare the robustness of two different online social platforms, Twitter and Gab, with respect to banning, or dismantling, strategies based on the recursive censor of users characterized by social prominence (degree) or intensity of inflammatory content (sentiment). We find that the moderated (Twitter) vs. unmoderated (Gab) character of the network is not a discriminating factor for intervention effectiveness. We find, however, that more complex strategies based upon the combination of topological and content features may be effective for network dismantling. Our results provide useful indications to design better strategies for countervailing the production and dissemination of anti-social content in online social platforms.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.