The rapid expansion of social media network has highlighted the necessity of efficient content moderation, especially with regard to spotting and eliminating

Bluesky posts about science garner more likes and reposts than similar ones on X.

Background: Social media listening can be leveraged to obtain authentic perceptions about events, their impact, guidelines and policies. There has been to date no research that has examined coronavirus disease 2019 (#covid19) patients’ experiences from diagnosis to treatment using social media listening in the United Kingdom. Objective: This study aimed to assess public perceptions, insights, and sentiments throughout the patient journey from diagnosis to treatment #covid19 pandemic. Methods: comprehensive search query was designed to retrieve social media data that referred to #covid19 and treatment. The search was conducted using the social media monitoring tool, Synthesio (Ipsos). Data were retrospectively collected for the period covering September 2019 to September 2022 from Twitter/X, Facebook, Instagram, and YouTube as well as 126 public forums (including Health Unlocked, Mums Net, The Student Room and Patient Forums UK). Available data in the UK expressed in the English language were collected and filtered generating a final dataset consisting of 31,319 posts from an overall initial dataset of 706,634 posts. Complimentary Google trend analyses of search terms mentioning #covid19 treatments were also performed. Results: Social media posts related to #covid19 symptoms accounted for 6% of overall posts, compared to 35% of posts related to testing, 25% of posts related to diagnosis, and 32% of posts related to treatment. Overall, the trend observed from social media posts relating to #covid19 treatment extracted in Synthesio was largely congruent with the trend of #covid19 searches on Google, indicating a potential relationship between public discourse and social media and online search behaviour. Conclusions: Findings from this study have the potential to inform decision-making regarding public health interventions, communication strategies, and healthcare policies in the UK during future public health emergencies.

Researchers analyzed nearly one million tweets from U.S. journalists to track emotional responses to ChatGPT's release, revealing a mix of optimism and concern about generative AI’s impact on their pr...