To increase awareness, search for solutions, and drive change, disparity-related research needs to be strategically disseminated. This study aimed to quantify whether a social media strategy could: (1) amplify dissemination of gender equity-related articles and (2) collect proposed solutions to gender equity issues. In April 2018, eight published journal articles covering separate gender equity issues were presented in a 1-hour Twitter chat hosted by Physician's Weekly. Metrics data were collected before, during, and after the chat. During the chat, one question related to each article was tweeted at a time. Qualitative data were extracted from responses and evaluated for thematic content. In the 16-hour period during and following the chat, we tallied 1500 tweets from 294 participants and 8.6 million impressions (potential views). The Altmetric Attention Score of each article increased (average, 126.5 points; range, 91-208 points). Within the respective journal, the Altmetric Rank of seven articles improved (range, 3 to ≥19), while the eighth maintained its #1 rank. The one article for which share and download data were available experienced a 729% increase in shares following prechat posts and another 113% bump after the chat, a 1667% increase overall ( = 45-795). Similarly, downloads, and presumably reads, increased 712% following prechat posts and another 47% bump after the chat, a 1093% increase overall ( = 394-4700). We tallied 181 potential solutions to the eight gender equity-related questions. Our results demonstrate that social media can be used strategically to increase the dissemination of research articles and collect solution-focused feedback.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1089/jwh.2018.7515 | DOI Listing |
Cureus
January 2025
College of Medicine, Department of Otolaryngology - Head and Neck Surgery, University of Jeddah, Jeddah, SAU.
Objectives: Hearing impairment during childhood is a widespread health issue. Prompt recognition and timely intervention are vital for the advancement of language skills. Insufficient parental knowledge can lead to a delay in diagnosing and treating a condition, which can have a negative impact on academic performance.
View Article and Find Full Text PDFSoc Sci Comput Rev
February 2025
Dalhousie University, Canada.
Many forms of online political incivility threaten democratic norms, contribute to polarization, and are often directed at women and racial minorities. Recent research shows that online political incivility may come from a minority of users that are just as hostile offline as they are online, meaning that individual differences in personality traits may be an important predictor of online political incivility. Drawing upon a large sample of adults living in Canada = 1725), we examined the association between personality traits and online political incivility using robust measures of psychopathy, narcissism, Machiavellianism, and the general traits of the HEXACO.
View Article and Find Full Text PDFFront Psychiatry
January 2025
School of Psychology, Zhejiang Normal University, Jinhua, China.
Background: While the constitutive features of problematic social media use (PSMU) have been formulated, there has been a lack of studies in the field examining the structure of relationships among PSMU components.
Method: This study employed network analytic methods to investigate the connectivity among PSMU components in a large sample of 1,136 college student social media users ( = 19.69, = 1.
BMC Med Ethics
January 2025
Students Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Background: The increasing societal emphasis on physical appearance, particularly influenced by social media, has led to a significant rise in demand for aesthetic dentistry procedures. This study aims to explore the ethical dimensions of marketing practices and the phenomenon of overtreatment in cosmetic dental procedures, highlighting the implications for patient care and professional integrity.
Methods: A systematic literature review was conducted across four databases, yielding an initial 76 articles.
Sci Rep
January 2025
Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
Understanding the nuanced emotions and points of view included in user-generated content remains challenging, even though text data analysis for mental health is a crucial instrument for assessing emotional well-being. Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!