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Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services. Here, we explore trends in words and phrases related to mental health…

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects…

Twitter has provided a great opportunity for public libraries to disseminate information for a variety of purposes. Twitter data have been applied in different domains such as health, politics, and history. There are thousands of public…

计算机与社会 · 计算机科学 2018-10-01 Amir Karami , Matthew Collins

Technology is uniquely positioned to help us analyze large amounts of information to provide valuable insight during widespread public health concerns, like the ongoing COVID-19 pandemic. In fact, information technology companies like Apple…

计算机与社会 · 计算机科学 2020-06-15 Jayati Dev

In this paper, we consider a dataset comprising press releases about health research from different universities in the UK along with a corresponding set of news articles. First, we do an exploratory analysis to understand how the basic…

社会与信息网络 · 计算机科学 2018-11-20 Jasabanta Patro , Sabyasachee Baruah , Vivek Gupta , Monojit Choudhury , Pawan Goyal , Animesh Mukherjee

Religiosity is a powerful force shaping human societies, affecting domains as diverse as economic growth or the ability to cope with illness. As more religious leaders and organizations as well as believers start using social networking…

社会与信息网络 · 计算机科学 2014-10-01 Lu Chen , Ingmar Weber , Adam Okulicz-Kozaryn

In this paper, we present a comprehensive survey on the pervasive issue of medical misinformation in social networks from the perspective of information technology. The survey aims at providing a systematic review of related research and…

Mental health research through data-driven methods has been hindered by a lack of standard typology and scarcity of adequate data. In this study, we leverage the clinical articulation of depression to build a typology for social media texts…

Information about gender differences in interests is necessary to disentangle the effects of discrimination and choice when gender inequalities occur, such as in employment. This article assesses gender differences in interests within the…

计算机与社会 · 计算机科学 2018-10-19 Mike Thelwall , Emma Stuart

Personality types are important in various fields as they hold relevant information about the characteristics of a human being in an explainable format. They are often good predictors of a person's behaviors in a particular environment and…

计算与语言 · 计算机科学 2023-09-12 Abhilash Datta , Souvic Chakraborty , Animesh Mukherjee

Background: Micro-blogging services such as Twitter offer the potential to crowdsource epidemics in real-time. However, Twitter posts ('tweets') are often ambiguous and reactive to media trends. In order to ground user messages in epidemic…

计算与语言 · 计算机科学 2011-10-17 Nigel Collier , Nguyen Truong Son , Ngoc Mai Nguyen

Modifiable health behaviors, a leading cause of illness and death in many countries, are often driven by individual beliefs and sentiments about health and disease. Individual behaviors affecting health outcomes are increasingly modulated…

社会与信息网络 · 计算机科学 2012-08-01 Marcel Salathé , Duy Q. Vu , Shashank Khandelwal , David R. Hunter

The increasing prevalence of mental disorders globally highlights the urgent need for effective digital screening methods that can be used in multilingual contexts. Most existing studies, however, focus on English data, overlooking critical…

计算与语言 · 计算机科学 2026-01-27 Ana-Maria Bucur , Marcos Zampieri , Tharindu Ranasinghe , Fabio Crestani

Mental health stigma prevents many individuals from receiving the appropriate care, and social psychology studies have shown that mental health tends to be overlooked in men. In this work, we investigate gendered mental health stigma in…

计算与语言 · 计算机科学 2023-04-13 Inna Wanyin Lin , Lucille Njoo , Anjalie Field , Ashish Sharma , Katharina Reinecke , Tim Althoff , Yulia Tsvetkov

Every day, millions of users reveal their interests on Facebook, which are then monetized via targeted advertisement marketing campaigns. In this paper, we explore the use of demographically rich Facebook Ads audience estimates for tracking…

计算机与社会 · 计算机科学 2017-05-12 Matheus Araujo , Yelena Mejova , Ingmar Weber , Fabricio Benevenuto

As a platform, Twitter has been a significant public space for discussion related to the COVID-19 pandemic. Public social media platforms such as Twitter represent important sites of engagement regarding the pandemic and these data can be…

社会与信息网络 · 计算机科学 2021-01-29 Hassan Dashtian , Dhiraj Murthy

This paper studies marijuana-related tweets in social network Twitter. We collected more than 300,000 marijuana related tweets during November 2016 in our study. Our text-mining based algorithms and data analysis unveil some interesting…

社会与信息网络 · 计算机科学 2016-12-30 Anh Nguyen , Quang Hoang , Hung Nguyen , Dong Nguyen , Tuan Tran

People use microblogging platforms like Twitter to involve with other users for a wide range of interests and practices. Twitter profiles run by different types of users such as humans, bots, spammers, businesses and professionals. This…

社会与信息网络 · 计算机科学 2014-06-06 Muhammad Moeen Uddin , Muhammad Imran , Hassan Sajjad

A biological understanding is key for managing medical conditions, yet psychological and social aspects matter too. The main problem is that these two aspects are hard to quantify and inherently difficult to communicate. To quantify…

人机交互 · 计算机科学 2020-10-14 Wonyoung So , Edyta P. Bogucka , Sanja Šćepanović , Sagar Joglekar , Ke Zhou , Daniele Quercia

Twitter accounts have already been used in many scientometric studies, but the meaningfulness of the data for societal impact measurements in research evaluation has been questioned. Earlier research focused on social media counts and…

数字图书馆 · 计算机科学 2019-04-16 Robin Haunschild , Loet Leydesdorff , Lutz Bornmann , Iina Hellsten , Werner Marx