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The social media network phenomenon leads to a massive amount of valuable data that is available online and easy to access. Many users share images, videos, comments, reviews, news and opinions on different social networks sites, with…

Computation and Language · Computer Science 2017-11-02 Abdulaziz M. Alayba , Vasile Palade , Matthew England , Rahat Iqbal

The presence of toxic content has become a major problem for many online communities. Moderators try to limit this problem by implementing more and more refined comment filters, but toxic users are constantly finding new ways to circumvent…

Computation and Language · Computer Science 2018-12-06 Éloi Brassard-Gourdeau , Richard Khoury

Social media are used as main discussion channels by millions of individuals every day. The content individuals produce in daily social-media-based micro-communications, and the emotions therein expressed, may impact the emotional states of…

Social and Information Networks · Computer Science 2017-03-07 Emilio Ferrara , Zeyao Yang

At the time of this study, the SARS-CoV-2 virus that caused the COVID-19 pandemic has spread significantly across the world. Considering the uncertainty about policies, health risks, financial difficulties, etc. the online media, specially…

Social and Information Networks · Computer Science 2020-09-08 Ece Çiğdem Mutlu , Toktam A. Oghaz , Jasser Jasser , Ege Tütüncüler , Amirarsalan Rajabi , Aida Tayebi , Ozlem Ozmen , Ivan Garibay

The micro-blogging platform Twitter allows its nearly 320 million monthly active users to build a network of follower connections to other Twitter users (i.e., followees) in order to subscribe to content posted by these users. With this…

Information Retrieval · Computer Science 2018-09-11 Dominik Kowald , Elisabeth Lex

Adversarial interactions against politicians on social media such as Twitter have significant impact on society. In particular they disrupt substantive political discussions online, and may discourage people from seeking public office. In…

Human-Computer Interaction · Computer Science 2020-05-12 Yiqing Hua , Thomas Ristenpart , Mor Naaman

The way people respond to messaging from public health organizations on social media can provide insight into public perceptions on critical health issues, especially during a global crisis such as COVID-19. It could be valuable for…

Computation and Language · Computer Science 2022-05-16 Abraham Sanders , Debjani Ray-Majumder , John S. Erickson , Kristin P. Bennett

We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We…

It is now evident that the commonly accepted strategy for treatment of HIV/AIDS by highly active antiretroviral therapy (HAART) will not lead to eradication of HIV in a reasonable time. This is straightforward from the typical exponential…

Tissues and Organs · Quantitative Biology 2007-06-22 E. E. Gabev , Evgeni B. Gabev , E. E. Gabev , M. V. Bogoeva

Estimating new HIV infections is significant yet challenging due to the difficulty in distinguishing between recent and long-term infections. We demonstrate that HIV recency status (recent v.s. long-term) could be determined from the…

Applications · Statistics 2024-11-13 Wenlong Yang , Danping Liu , Le Bao , Runze Li

Background: User experience strongly influences pharmaceutical drug effectiveness. Social media platforms like X have become major spaces where people share medication-related experiences, especially for widely marketed drugs such as…

Social and Information Networks · Computer Science 2025-12-01 Parisa Momeni , Gabriel Laverghetta , Jay Ligatti , Lingyao Li

Understanding historical trends in the epidemic of HIV is important for assessing current and projecting future trends in prevalence, incidence and mortality and for evaluating the impact and cost-effectiveness of control measures. In…

Quantitative Methods · Quantitative Biology 2014-12-10 Brian G. Williams

Background: Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that use sentiment to detect localized events for public health…

Social and Information Networks · Computer Science 2019-05-16 Zubair Shah , Paige Martin , Enrico Coiera , Kenneth D. Mandl , Adam G. Dunn

Gun related violence is a complex issue and accounts for a large proportion of violent incidents. In the research reported in this paper, we set out to investigate the pro-gun and anti-gun sentiments expressed on a social media platform,…

Social and Information Networks · Computer Science 2016-09-05 Nan Wang , Blesson Varghese , Peter D. Donnelly

Social media services such as Twitter are a valuable source of information for decision support systems. Many studies have shown that this also holds for the medical domain, where Twitter is considered a viable tool for public health…

Depression is a significant issue nowadays. As per the World Health Organization (WHO), in 2023, over 280 million individuals are grappling with depression. This is a huge number; if not taken seriously, these numbers will increase rapidly.…

Computation and Language · Computer Science 2024-04-23 Muhammad Osama Nusrat , Waseem Shahzad , Saad Ahmed Jamal

Causal inference methods can be applied to estimate the effect of a point exposure or treatment on an outcome of interest using data from observational studies. For example, in the Women's Interagency HIV Study, it is of interest to…

Mental illnesses adversely affect a significant proportion of the population worldwide. However, the methods traditionally used for estimating and characterizing the prevalence of mental health conditions are time-consuming and expensive.…

Computation and Language · Computer Science 2017-05-02 Silvio Amir , Glen Coppersmith , Paula Carvalho , Mário J. Silva , Byron C. Wallace

Knowledge of the time at which an HIV-infected individual seroconverts, when the immune system starts responding to HIV infection, plays a vital role in the design and implementation of interventions to reduce the impact of the HIV…

Applications · Statistics 2017-06-09 Loumpiana Koulai , Anne Presanis , Gary Murphy , Barbara Suligoi , Daniela De Angelis

Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of the…

Social and Information Networks · Computer Science 2023-08-14 Songhui Yue , Jyothsna Kondari , Aibek Musaev , Randy K. Smith , Songqing Yue