keyword
https://read.qxmd.com/read/38354045/using-actuallyautistic-on-twitter-for-precision-diagnosis-of-autism-spectrum-disorder-machine-learning-study
#21
JOURNAL ARTICLE
Aditi Jaiswal, Peter Washington
BACKGROUND: The increasing use of social media platforms has given rise to an unprecedented surge in user-generated content, with millions of individuals publicly sharing their thoughts, experiences, and health-related information. Social media can serve as a useful means to study and understand public health. Twitter (subsequently rebranded as "X") is one such social media platform that has proven to be a valuable source of rich information for both the general public and health officials...
February 14, 2024: JMIR Formative Research
https://read.qxmd.com/read/38348199/oral-cancer-and-twitter-an-analysis-of-oral-cancer-awareness-month-tweets
#22
JOURNAL ARTICLE
Nada Binmadi
OBJECTIVE: The objective of this research was to assess Twitter usage during Oral Cancer Awareness Month and explore the content and engagement related to oral cancer. METHODS: A comprehensive search was performed using relevant hashtags and keywords related to oral cancer on Twitter throughout the oral cancer awareness month, April 2022. All extracted tweets that match the inclusion criteria were analyzed for content, users were classified, and their countries were identified...
February 2024: Curēus
https://read.qxmd.com/read/38330078/cross-sectional-study-of-twitter-x-use-among-academic-anesthesiology-departments-in-the-united-states
#23
JOURNAL ARTICLE
Michael Mazzeffi, Lindsay Strickland, Zachary Coffman, Braden Miller, Ebony Hilton, Lynn Kohan, Ryan Keneally, Peggy McNaull, Nabil Elkassabany
Twitter (recently renamed X) is used by academic anesthesiology departments as a social media platform for various purposes. We hypothesized that Twitter (X) use would be prevalent among academic anesthesiology departments and that the number of tweets would vary by region, physician faculty size, and National Institutes of Health (NIH) research funding rank. We performed a descriptive study of Twitter (X) use by academic anesthesiology departments (i.e. those with a residency program) in 2022. Original tweets were collected using a Twitter (X) analytics tool...
2024: PloS One
https://read.qxmd.com/read/38328292/dataset-for-detecting-and-characterizing-arab-computation-propaganda-on-x
#24
JOURNAL ARTICLE
Bodor Moheel Almotairy, Manal Abdullah, Dimah Hussein Alahmadi
Arab nations are greatly influenced by computational propaganda. Detecting Arab computational propaganda has become a trending topic in social media research. Despite all the efforts made, the definitive definition of a propagandistic characteristic is still not clear. Additionally, the earlier datasets were acquired and labelled for a specific study but were neglected thereafter. As a result, researchers are unable to assess whether the proposed AI detectors can be generalized or not. There is a lack of real ground truth, either to characterize Arab propagandist behaviours or evaluate the new proposed detectors...
April 2024: Data in Brief
https://read.qxmd.com/read/38321582/contraceptive-content-shared-on-social-media-an-analysis-of-twitter
#25
JOURNAL ARTICLE
Melody Huang, Alba Gutiérrez-Sacristán, Elizabeth Janiak, Katherine Young, Anabel Starosta, Katherine Blanton, Alaleh Azhir, Caroline N Goldfarb, Felícita Kuperwasser, Kimberly M Schaefer, Rachel E Stoddard, Rajet Vatsa, Allison A Merz-Herrala, Deborah Bartz
BACKGROUND: Information on social media may affect peoples' contraceptive decision making. We performed an exploratory analysis of contraceptive content on Twitter (recently renamed X), a popular social media platform. METHODS: We selected a random subset of 1% of publicly available, English-language tweets related to reversible, prescription contraceptive methods posted between January 2014 and December 2019. We oversampled tweets for the contraceptive patch to ensure at least 200 tweets per method...
February 7, 2024: Contraception and Reproductive Medicine
https://read.qxmd.com/read/38315543/testing-behavioral-messages-to-increase-recruitment-to-health-research-when-embedded-within-social-media-campaigns-on-twitter-web-based-experimental-study
#26
JOURNAL ARTICLE
Sandro T Stoffel, Jing Hui Law, Robert Kerrison, Hannah R Brewer, James M Flanagan, Yasemin Hirst
BACKGROUND: Social media is rapidly becoming the primary source to disseminate invitations to the public to consider taking part in research studies. There is, however, little information on how the contents of the advertisement can be communicated to facilitate engagement and subsequently promote intentions to participate in research. OBJECTIVE: This paper describes an experimental study that tested different behavioral messages for recruiting study participants for a real-life observational case-control study...
February 5, 2024: JMIR Formative Research
https://read.qxmd.com/read/38304984/stereotypical-victims-visibility-of-metoo-disclosures-on-twitter
#27
JOURNAL ARTICLE
Anne Groggel, Grace Kokoris, Starla Journet
The #MeToo movement has brought greater visibility to the topic of sexual assault in public discourse. We analyzed a dataset of 1,070 Twitter #MeToo self-disclosures to examine the relationship between online visibility (retweets and favorites) and the content of victim-survivors' self-disclosures such as victim's gender, relationship to the perpetrator, and the emotions expressed in the tweet. The visibility of sexual assault self-disclosures was shaped by the extent to which they align with stereotypical misconceptions of victimization...
February 2, 2024: Violence Against Women
https://read.qxmd.com/read/38293550/language-use-on-twitter-reflects-social-structure-and-social-disparities
#28
JOURNAL ARTICLE
Eric Mayor, Lucas M Bietti
Large-scale mental health assessments increasingly rely upon user-contributed social media data. It is widely known that mental health and well-being are affected by minority group membership and social disparity. But do these factors manifest in the language use of social media users? We elucidate this question using spatial lag regressions. We examined the county-level ( N  = 1069) associations of lexical indicators linked to well-being and mental health, notably depression (e.g., first-person singular pronouns, negative emotions) with markers of social disparity (e...
January 30, 2024: Heliyon
https://read.qxmd.com/read/38261367/dynamic-associations-between-centers-for-disease-control-and-prevention-social-media-contents-and-epidemic-measures-during-covid-19-infoveillance-study
#29
JOURNAL ARTICLE
Shuhua Yin, Shi Chen, Yaorong Ge
BACKGROUND: Health agencies have been widely adopting social media to disseminate important information, educate the public on emerging health issues, and understand public opinions. The Centers for Disease Control and Prevention (CDC) widely used social media platforms during the COVID-19 pandemic to communicate with the public and mitigate the disease in the United States. It is crucial to understand the relationships between the CDC's social media communications and the actual epidemic metrics to improve public health agencies' communication strategies during health emergencies...
January 23, 2024: JMIR Infodemiology
https://read.qxmd.com/read/38259896/analyzing-patients-satisfaction-level-for-medical-services-using-twitter-data
#30
JOURNAL ARTICLE
Muhammad Usman, Muhammad Mujahid, Furqan Rustam, EmmanuelSoriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, Imran Ashraf
Public concern regarding health systems has experienced a rapid surge during the last two years due to the COVID-19 outbreak. Accordingly, medical professionals and health-related institutions reach out to patients and seek feedback to analyze, monitor, and uplift medical services. Such views and perceptions are often shared on social media platforms like Facebook, Instagram, Twitter, etc . Twitter is the most popular and commonly used by the researcher as an online platform for instant access to real-time news, opinions, and discussion...
2024: PeerJ. Computer Science
https://read.qxmd.com/read/38241072/exploring-discussions-about-virtual-reality-on-twitter-to-inform-brain-injury-rehabilitation-content-and-network-analysis
#31
JOURNAL ARTICLE
Sophie Brassel, Melissa Brunner, Andrew Campbell, Emma Power, Leanne Togher
BACKGROUND: Virtual reality (VR) use in brain injury rehabilitation is emerging. Recommendations for VR development in this field encourage end user engagement to determine the benefits and challenges of VR use; however, existing literature on this topic is limited. Data from social networking sites such as Twitter may further inform development and clinical practice related to the use of VR in brain injury rehabilitation. OBJECTIVE: This study collected and analyzed VR-related tweets to (1) explore the VR tweeting community to determine topics of conversation and network connections, (2) understand user opinions and experiences of VR, and (3) identify tweets related to VR use in health care and brain injury rehabilitation...
January 19, 2024: Journal of Medical Internet Research
https://read.qxmd.com/read/38198513/sexual-violence-and-social-media-discourse-exploring-campus-climate-through-the-lens-of-twitter
#32
JOURNAL ARTICLE
Hilary Ashton Glover, Amanda Hitt, Nikki Davenport, Victoria Casson, Tabitha Blasingame
BACKGROUND: Sexual violence is prevalent on college campuses, yet formal disclosure and open dialogue are often muffled. Social media has become a powerful platform for survivors and presents an opportunity for researchers to explore social discourse surrounding sexual violence on campuses. Healthcare providers must be knowledgeable of campus climate surrounding sexual violence to provide patient-centered, trauma-informed care and mitigate the detrimental, long-term effects experienced by survivors...
January 10, 2024: Journal of Forensic Nursing
https://read.qxmd.com/read/38146160/online-health-communities-portrayal-of-obesity-on-social-media-platforms-in-south-africa
#33
JOURNAL ARTICLE
Natasha Mazonde, Susan Goldstein
The rapidly increasing prevalence of obesity in South Africa, intertwined with extensive changes in diet, life expectancy, and nutritional status has led to a complex framing of obesity on social media. This has prompted the prioritization of media-based social and behavior change communication interventions leveraging social media for obesity prevention. This study was conducted to understand how obesity is constructed and represented on social media in South Africa. A media review of Facebook and Twitter platforms in South Africa was conducted over a six-month period using Meltwater software for data collection...
October 31, 2023: Journal of Health Communication
https://read.qxmd.com/read/38127840/sentiment-analysis-of-japanese-twitter-users-verification-in-the-early-stages-of-covid-19-infection-spread
#34
JOURNAL ARTICLE
Ryuichiro Ueda, Feng Han, Hongjian Zhang, Tomohiro Aoki, Katsuhiko Ogasawara
BACKGROUND: The COVID-19 outbreak province prompted global behavioral restrictions, impacting public mental health. Sentiment analysis, a tool assessing individual and public emotions from text data, gained importance amid the pandemic. This study focuses on Japan's early public health interventions during COVID-19, utilizing sentiment analysis in infodemiology to gauge public sentiment on social media regarding these interventions. OBJECTIVE: This study aims to investigate shifts in public emotions and sentiments before and after the first state of emergency declaration in Japan...
December 17, 2023: JMIR Infodemiology
https://read.qxmd.com/read/38107161/twitter-as-a-mechanism-of-knowledge-translation-in-health-professions-education-an-exploratory-content-analysis
#35
JOURNAL ARTICLE
Catherine M Giroux, Lauren A Maggio, Conchita Saldanha, André Bussières, Aliki Thomas
INTRODUCTION: Social media may facilitate knowledge sharing within health professions education (HPE), but whether and how it is used as a mechanism of knowledge translation (KT) is not understood. This exploratory study aimed to ascertain what content has been shared on Twitter using #MedEd and how it is used as a mechanism of KT. METHODS: Symplur was used to identify all tweets tagged with #MedEd between March 2021 - March 2022. A directed content analysis and multiple cycles of coding were employed...
2023: Perspectives on Medical Education
https://read.qxmd.com/read/38093323/-hownottodopatientengagement-the-engaging-with-purpose-patient-engagement-framework-based-on-a-twitter-analysis-of-community-perspectives-on-patient-engagement
#36
JOURNAL ARTICLE
Brianna Dunstan, Francine Buchanan, Alies Maybee, Aisha Lofters, Ambreen Sayani
BACKGROUND: Evaluation of patient engagement practices are frequently researcher-driven, researcher-funded, and asymmetric in power dynamics. Little to no literature on patient experiences in patient engagement exist that is are not framed by institutionally-driven research inquiries (i.e., from the lens of a research team lead, or healthcare administrative setting). Understanding these perspectives can help us understand: (i)what matters to patients when they are engaged in research; (ii)why it matters to them, and(iii) how to improve patient engagement practices, so that the needs and priorities of patients are consistently met...
December 13, 2023: Research Involvement and Engagement
https://read.qxmd.com/read/38088978/teaching-everyone-everywhere-all-at-once-leveraging-social-media-to-implement-a-multisite-fungal-diagnostics-curriculum
#37
JOURNAL ARTICLE
Saman Nematollahi, Sean Tackett, Suzanne Grieb, Justin C Laracy, Anne Belcher, Kieren A Marr, Shmuel Shoham, Robin K Avery, Michael T Melia
BACKGROUND: Environmental fungi are threats to personal and public health. Fungal in vitro diagnostics help diagnose invasive fungal infections (IFIs), but clinicians remain underinformed about their use and interpretation. Given the increasing use of social media to share infectious diseases-related content, we designed and implemented a multisite Twitter-based curriculum focused on IFIs and related diagnostics. METHODS: Questions were posted through a dedicated Twitter account twice weekly over 8 weeks...
December 2023: Open Forum Infectious Diseases
https://read.qxmd.com/read/38077561/pashto-offensive-language-detection-a-benchmark-dataset-and-monolingual-pashto-bert
#38
JOURNAL ARTICLE
Ijazul Haq, Weidong Qiu, Jie Guo, Peng Tang
Social media platforms have become inundated with offensive language. This issue must be addressed for the growth of online social networks (OSNs) and a healthy online environment. While significant research has been devoted to identifying toxic content in major languages like English, this remains an open area of research in the low-resource Pashto language. This study aims to develop an AI model for the automatic detection of offensive textual content in Pashto. To achieve this goal, we have developed a benchmark dataset called the Pashto Offensive Language Dataset (POLD), which comprises tweets collected from Twitter and manually classified into two categories: "offensive" and "not offensive"...
2023: PeerJ. Computer Science
https://read.qxmd.com/read/38045011/twitter-activity-surrounding-the-finnish-green-party-s-cannabis-legalisation-proposal-a-mixed-methods-analysis
#39
JOURNAL ARTICLE
Ali Unlu, Aleksi Hupli
Background: In September 2021, a Finnish political party, the Greens, voted to include cannabis policy reform in their party programme, which would legalise the use, possession, manufacture and sale of cannabis. A rapid public discussion has emerged on different social media platforms, including Twitter. Methods: We downloaded 10 days of Twitter data and prepared it for further text analysis, including sentiment, topic modelling and thematic content analysis. Results: Before the proposal, the average daily number of tweets was approximately 140...
December 2023: Nordisk Alkohol- & Narkotikatidskrift: NAT
https://read.qxmd.com/read/38026290/public-perceptions-of-the-fda-s-marketing-authorization-of-vuse-on-twitter-x
#40
JOURNAL ARTICLE
Sarah Lee, Zidian Xie, Emily Xu, Yihan Shao, Deborah J Ossip, Dongmei Li
INTRODUCTION: On October 12, 2021, the FDA issued its first marketing granted orders for Vuse, the e-cigarette product by R.J. Reynolds Vapor Company. The public perceptions and reactions to the FDA's Vuse authorization are prevalent on social media platforms such as Twitter/X. We aim to understand public perceptions of the FDA's Vuse authorization in the US using Twitter/X data. METHODS: Through the Twitter/X streaming API (Application Programming Interface), 3,852 tweets between October 12, 2021, and October 23, 2021, were downloaded using the keyword of Vuse...
2023: Frontiers in Public Health
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