We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, US-based users to feeds that did not contain any reshares over a 3-month period. We find that removing reshared content substantially decreases the amount of political news, including content from untrustworthy sources, to which users are exposed; decreases overall clicks and reactions; and reduces partisan news clicks. Further, we observe that removing reshared content produces clear decreases in news knowledge within the sample, although there is some uncertainty about how this would generalize to all users. Contrary to expectations, the treatment does not significantly affect political polarization or any measure of individual-level political attitudes.
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Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets.
Front Public Health
February 2024
Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
Introduction: The online misinformation might undermine the vaccination efforts. Therefore, given the fact that no study specifically analyzed online vaccine related content written in Romanian, the main objective of the study was to detect and evaluate tweets related to vaccines and written in Romanian language.
Methods: 1,400 Romanian vaccine related tweets were manually classified in true, neutral and fake information and analyzed based on wordcloud representations, a correlation analysis between the three classes and specific tweet characteristics and the validation of several predictive machine learning algorithms.
Reshares on social media amplify political news but do not detectably affect beliefs or opinions.
Science
July 2023
Wilf Family Department of Politics and Center for Social Media and Politics, New York University, New York, NY, USA.
We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, US-based users to feeds that did not contain any reshares over a 3-month period. We find that removing reshared content substantially decreases the amount of political news, including content from untrustworthy sources, to which users are exposed; decreases overall clicks and reactions; and reduces partisan news clicks. Further, we observe that removing reshared content produces clear decreases in news knowledge within the sample, although there is some uncertainty about how this would generalize to all users.
View Article and Find Full Text PDFFrequencies of Private Mentions and Sharing of Mammography and Breast Cancer Terms on Facebook: A Pilot Study.
J Med Internet Res
June 2017
Milton S Hershey Medical Center, Department of Radiology, Breast Imaging Division, Penn State College of Medicine, Hershey, PA, United States.
Article Synopsis
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Marfan syndrome patient experiences as ascertained through postings on social media sites.
Am J Med Genet A
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Marfan syndrome (MS) is a connective tissue disorder that affects thousands of adolescents [Population Reference Bureau, 2013]. Some adolescent patients with MS may use social media to express their experiences and emotions, but little is known about what patients choose to share online. To investigate social media content related to Marfan syndrome we used search terms "Marfan syndrome" and "Marfans" on six different social media sites.
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