Background: With the exponential increase in digital space of social media platforms, a new group called social media influencers are driving online content of polycystic ovary syndrome (PCOS) which eventually influences behaviour and decision-making process. The objective of this study was to identify the top 100 social media (Twitter) influencers and organizations from across the globe who are advocating for PCOS. We further explored the origin and journey of these social media influencers.
Methods: We identified the top 100 PCOS influencers and organizations between July and August 2022 using three social network analysis tools- Cronycle, Symplur and SocioViz. These influencers were invited to a semi-structured interview to explore why they chose to become an influencer and the support they have to deliver their online content. Two independent authors coded the anonymised transcripts from these interviews and broad themes were identified by thematic inductive analysis.
Results: 95.0% of individual influencers and 80% of organisations are from high-income countries. Most influencers in our study agree that social media is an essential tool in the present day to raise awareness of PCOS. However, they reiterated social media also has significant disadvantages that require consideration and caution. Most influencers were driven by poor personal experience and worked voluntarily to reduce misinformation and improve the experiences of women diagnosed with PCOS in the future. Although there is an interest in working together, there is currently minimal collaborative work between influencers.
Conclusion: There is a global inequity of #PCOS influencers online. Establishing standards and support based on evidence may help develop more influencers, especially in low- and middle-income countries, so we can counter misinformation and provide locally acceptable guidance.
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http://dx.doi.org/10.3389/fendo.2022.1084047 | DOI Listing |
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
PLoS One
January 2025
École de Bibliothéconomie et des Sciences de l'information, Université de Montréal, 3150 rue Jean-Brillant, Montréal, QC, Canada.
Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence.
View Article and Find Full Text PDFPLoS One
January 2025
Computational Media Lab, University of Texas at Austin, Austin, Texas, United States of America.
Instead of turning to emergency phone systems, social media platforms, such as Twitter, have emerged as alternative and sometimes preferred venues for members of the public in the US to communicate during hurricanes and other natural disasters. However, relevant posts are likely to be missed by responders given the volume of content on platforms. Previous work successfully identified relevant posts through machine-learned methods, but depended on human annotators.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!