In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users’ opinions and make predictions about real events. Cyber-attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber-attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ 1 regularization.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982517 | PMC |
| http://dx.doi.org/10.3390/s18051380 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clinical Manifestations.
Alzheimers Dement
December 2024
University of Texas-Austin, Austin, TX, USA.
Background: Older adults increasingly rely on digital technologies to perform instrumental activities of daily living (iADLs), including commerce, managing accounts online, using texting and websites for social connection, and accessing health services via web platforms. Despite the increasingly central role of technology to daily life, current iADL measures do not regularly capture the digital approach to daily activities. The current study had three broad aims 1) determine the applicability of technology-based iADLs to the daily lives of older adults being evaluated for Alzheimer's disease and related dementias (ADRD), 2) compare the level of dependence for tech and traditional iADL items, and 3) determine if adding technology related iADL items improves the diagnostic accuracy of iADL assessments.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Background: Apathy may appear as a less acute late-life syndrome; however, it is associated with accelerated progression to dementia and contributes to adverse outcomes for patients and caregivers. These findings are not surprising since apathy can cause individuals to forego activities that improve cardiovascular and cognitive health (e.g.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Background: Smell dysfunction has been one of coronavirus disease 2019 (Covid-19) symptoms. Identification of those with these symptoms are important as olfactory impairment in general has been studied to have increased mortality, poor quality of life, increased incidence of depression and risk for dementia. Smell dysfunction related to Covid-19 in older adults and its impact is lesser studied.
View Article and Find Full Text PDFWho Can Help Me? Citizens' Help-Seeking on Weibo During the Shanghai Lockdown.
Disaster Med Public Health Prep
January 2025
School of Journalism and Communication, Shandong University, Jinan250100, China.
Objective: In the context of the Omicron-induced lockdown in Shanghai, this paper investigated the appeals for assistance by citizens on Weibo, aiming to understand their principal challenges and immediate needs.
Methods: This paper collected Weibo posts ( 1040) containing the keyword "Shanghai Anti-epidemic Help" during the citywide lockdown. The online help requests from Shanghai citizens were analyzed across 7 dimensions, including the help sought, level of urgency, help recipient, the intended beneficiary of the help, expression, position, and emotion.
Assessing male and female clinicians' intentions for a third child in China: A cross-sectional survey analysis with gender-specific insights.
J Glob Health
January 2025
School of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi Province, China.
Background: As fertility rates decline and population ageing intensifies, the conflict between career and childbearing continues to impact clinicians, especially women. Exploring gender differences in the fertility intentions of male and female clinicians could help with identifying barriers to childbearing, developing effective policies to support work-life balance, and addressing the gap in research on gender disparities in this field.
Methods: We conducted a cross-sectional survey among health care personnel in Chinese public hospitals.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!