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political adsPsyPost
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78% Informative
A new study published in the journal PNAS Nexus has shed light on how social media algorithms favor politically sponsored content from certain parties, even when the same budget is applied.
The research, conducted by the Politecnico di Milano , LMU Ludwig Maximilians Universität of Munich , and CENTAI institute of Turin , analyzed over 80,000 political ads on Facebook and Instagram .
The findings reveal significant discrepancies in the effectiveness of these ads with a bias towards more extremist groups.
The machine learning modelâs low prediction performance suggested that the available data was insufficient to fully explain the variance in ad performance.
This highlights the need for greater transparency from social media platforms regarding their ad delivery algorithms and pricing mechanisms.
The study, âSystematic discrepancies in the delivery of political ads on Facebook and Instagram ,â was authored by Dominik Bär , Francesco Pierri , Gianmarco De Francisci Morales , and Stefan Feuerriegel .
VR Score
89
Informative language
96
Neutral language
40
Article tone
formal
Language
English
Language complexity
77
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
no sources
Affiliate links
no affiliate links