Comprehensive analysis of Twitter activity on #Incontinence

Abstract

Aim: The aim of this study is comprehensive analysis of the Twitter activity on #Incontinence.Material and Methods: The following six functional-urology hashtags on Twitter were analyzed from 2015 to 2018 to gain a comprehensive insight into the topic: #Incontinence, #InterstitialCystitis, #OAB, #FPMRS, #BPH, and #UroBPH. For the Twitter analysis, Symplur Signals was used, which is a health care social media analytics tool.Results: In total 191 383 tweets by 54 094 users in 2015 through 2018 were analyzed. A rise in the number of tweets could be identified for all six analyzed hashtags on functional urology, in summary, the numbers raised from 25 629 tweets in 2015 to 66 551 tweets in 2018. For the hashtag incontinence (#Incontinence), the number of tweets raised from 13 823 in 2015 to 19 996 in 2018 (+44.7%). Main influencers on functional urology topics identified by the Symplur algorithm were individuals from the health care sector in 44.6% of the cases and health care organizations in 36.5% of the cases, whereas for #Incontinence, only 7% of influencers were patients in 2018. The ten most common words connected to #Incontinence were Incontinence, Urinary, Women, Help, New, Bladder, Stress, Treatment, Pelvic, and Sex. Of the tweets, 66% were categorized as positive statements and 34% were categorized as negative.Conclusion: Social media is an emerging tool of communication in urology, whereas discussions on #Incontinence are underrepresented compared to the high prevalence of urinary incontinence. In addition, patients' activity is low. K E Y W O R D S functional urology, social media, Twitter, urinary incontinence Johannes Salem and Ricarda M. Bauer contributed equally to this study.

Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis

“…This Twitter campaign was unique given the interdisciplinary nature of subject, on the interface of computer science, engineering, and medical communities. Previous literature surrounding the use of hashtags in healthcare-associated content amplification tended to pertain to a single community (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28). Several methodological distinctions are also apparent within our analysis.…”

“…Several studies have demonstrated hashtags' utility in amplifying content associated with various topics and events. The inclusion of hashtags in tweets facilitated the promotion of disease-specific tweets (12)(13)(14)(15), Twitter-based chats and journal clubs (16)(17)(18)(19), and meeting or conferencerelated content (20)(21)(22)(23)(24)(25)(26)(27)(28). Hashtags have also been previously demonstrated as an effective tool for content-specific education (13,29).…”

How does the public discuss gene-editing in agriculture? An analysis of Twitter content

“…Engagement with the conversation about gene editing can be an indicator of interaction among the social system as well as approval of or agreement with the message (Grabbert et al, 2019;Kee et al, 2016;Rogers, 2003). Both are goals among communicators who desire to create content that fosters conversation and encourages feedback from the audience.…”

“…External to Meltwater's reporting, the proportion of retweets to original tweets was calculated as an indicator of interaction over the entire search (Grabbert et al, 2019). Of the 13,189 tweets collected, 7,022 (53.2%) were retweets, indicating high interaction among accounts participating in the conversation about gene editing in agriculture (Grabbert et al, 2019). The top 10 Twitter posts in terms of engagement are presented in Table 3.…”

The International Natural Product Sciences Taskforce (INPST) and the power of Twitter networking exemplified through #INPST hashtag analysis

“…Hashtags, which were mentioned above as one of the commonly used tweet components, are designed as keyword-terms (usually thematically related to the content of the tweet) that are missing spaces (in case the term consists of several words) and have a hash sign (#) in front (particular example: #NaturalProducts). Hashtags afford tagging and thematic grouping of tweets and hashtag analysis has been widely used as a research tool that allows different quantifications (Cheung et al, 2018;Gardhouse et al, 2017;Grabbert et al, 2019;Kudchadkar and Carroll, 2020). In this context, relevant visibility parameters associated with tweets that could be analyzed, include retweets (re-shares) and impressions (views).…”