STORRE

Objectives To compare information sharing of over 379 health conditions on Twitter to uncover trends and patterns of online user activities. Methods We collected 1.5 million tweets generated by over 450,000 Twitter users for 379 health conditions, each of which was quantified using a multivariate model describing engagement, user and content aspects of the data and compared using correlation and network analysis to discover patterns of user activities in these online communities. Results We...

Background: During the COVID-19 pandemic, a number of conspiracy theories have emerged. A popular theory posits that the pandemic is a hoax and suggests that certain hospitals are “empty.” Research has shown that accepting conspiracy theories increases the likelihood that an individual may ignore government advice about social distancing and other public health interventions. Due to the possibility of a second wave and future pandemics, it is important to gain an understanding of the drivers ...

Objectives Twitter is the most frequently used social media platform by healthcare practitioners, at medical conferences. This study aimed to analyze Twitter conversations during the virtual International Gynecological Cancer Society 2020 conference to understand the interactions between Twitter users related to the conference. Methods Tweets using the hashtag ‘#IGCS2020’ were searched using the Twitter Search Application Programming Interface (API) during the period 10–13 September 2020. ...

The literature on the importance of procedural justice in policing is extensive. Using the context of information sharing in community policing, this paper argues that interactional, procedural and distributive justice are salient in interactions between the police and the public, both online and face-to-face. Structured interviews (n = 161) were conducted with members of young minority groups and intermediaries (who work with minorities and police agencies) across nine countries in Europe. O...