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Een demonstratie van propensity-score weighting om verschillen tussen waarschijnlijkheids- en niet-waarschijnlijkheidssteekproeven van Twitter-gebruikers aan te passen bij het evalueren van de haalbaarheid van het gebruik van social media-gegevens voor gegeneraliseerde uitspraken over de publieke opinie
We investigate whether propensity score weighting can balance differences between probability and nonprobability samples of Twitter users to evaluate the feasibility of using social media data for producing generalizable inferences on public opinion
Bronartikel
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AI-vertaald · Origineel tonen
Propensity score weighting may help bridge the gap between social media and probability samples, but its effectiveness is still unproven.
AI-vertaald · Origineel tonen
Utilizing social media data can enhance our understanding of public opinion by providing real-time insights that traditional methods may miss.
AI-vertaald · Origineel tonen
Social media platforms like Twitter reflect a diverse range of political attitudes, making them valuable for gauging public sentiment across demographics.
AI-vertaald · Origineel tonen
Relying on nonprobability samples from social media can lead to biased conclusions, undermining the validity of public opinion research.
AI-vertaald · Origineel tonen
The reliance on social media for public opinion should be approached with caution, as it may not accurately represent the broader population's views.
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