trustmebro.to/r/…
✓ checked
trust me, bro:
here is the receipt.
the claim

Underlying algorithms on social media platforms are the primary drivers of the spread of misinformation.

the verdict
SUPPORTED
the evidence backs this
Recorded sources
5 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that underlying algorithms on social media platforms are the primary drivers of the spread of misinformation?

Yes. Current research consistently indicates that social media recommendation algorithms and engagement-driven architectures act as primary drivers in the rapid spread and amplification of misinformation.

Verdict: SUPPORTED · 5 sources for, 0 against · Last checked

Evidence for · 5
Navigating Social Media: Balancing Connectivity With Media Literacy to Combat Misinformation and Protect Mental Well-Being.
2026
Get citation
HK, A. M. (2026). Navigating Social Media: Balancing Connectivity With Media Literacy to Combat Misinformation and Protect Mental Well-Being.. doi.org. https://doi.org/10.1002/hpja.70243

See more details
More for · 4
A Multi-Mechanism Socio-Technical Theory of Wellness Misinformation: Aesthetic, Affective, and Algorithmic Dynamics
2026
Get citation
Ye, H. (2026). A Multi-Mechanism Socio-Technical Theory of Wellness Misinformation: Aesthetic, Affective, and Algorithmic Dynamics. doi.org. https://doi.org/10.1177/20563051261452130

Network Influence vs. Credibility in YouTube Sleep-Health Communication.
2026
Get citation
A, G., M, P., & MP, d. C. (2026). Network Influence vs. Credibility in YouTube Sleep-Health Communication.. doi.org. https://doi.org/10.1002/puh2.70251

Fractional-Order Misinformation Dynamics on Multi-Community Social Networks with Algorithmic Amplification: Stability, Bifurcation and Control
2026
Get citation
Yan, H. & Li, X. (2026). Fractional-Order Misinformation Dynamics on Multi-Community Social Networks with Algorithmic Amplification: Stability, Bifurcation and Control. doi.org. https://doi.org/10.2139/ssrn.7434457

Modelling and Evaluating Early-Stage Interventions for Mitigating Misinformation Spread on Algorithmic Social Media Platforms
2026
Get citation
Fan, O. (2026). Modelling and Evaluating Early-Stage Interventions for Mitigating Misinformation Spread on Algorithmic Social Media Platforms. doi.org. https://doi.org/10.33774/coe-2026-90pq4

Receipt History
Anyone with this link can read the claim and its public receipt, including any personal information in that text. Open permanent receipt.
Check your own claim
Challenge the receipt
Requests are recorded for review. This does not start an automatic check or guarantee a response time.

See the evidence timeline

Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.

This receipt is an automated verdict against our published method · not an opinion about any author or publication.
Terms · Privacy · How verdicts work