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A lack of information exists about the health issues of lesbian, gay, bisexual, transgender, and queer (LGBTQ) people who are often excluded from national demographic assessments, health studies, and clinical trials. As a result, medical…

Social and Information Networks · Computer Science 2018-03-28 Frank Webb , Amir Karami , Vanessa Kitzie

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore…

Social and Information Networks · Computer Science 2016-07-26 Moin Nadeem

To aid a variety of research studies, we propose TWIROLE, a hybrid model for role-related user classification on Twitter, which detects male-related, female-related, and brand-related (i.e., organization or institution) users. TWIROLE…

Social and Information Networks · Computer Science 2018-11-27 Liuqing Li , Ziqian Song , Xuan Zhang , Edward A. Fox

In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain social connections. In this online digital world, people use to…

Computers and Society · Computer Science 2018-05-29 Suman Kalyan Maity , Ankan Mullick , Surjya Ghosh , Anil Kumar , Sunny Dhamnani , Sudhanshu Bahety , Animesh Mukherjee

Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abuse, adverse reactions of drug…

Computation and Language · Computer Science 2018-05-17 Debanjan Mahata , Jasper Friedrichs , Hitkul , Rajiv Ratn Shah

Predicting the geographical location of users of social media like Twitter has found several applications in health surveillance, emergency monitoring, content personalization, and social studies in general. In this work we contribute to…

Social and Information Networks · Computer Science 2021-12-15 Federico M. Funes , José Ignacio Alvarez-Hamelin , Mariano G. Beiró

Social media platforms have become valuable tools for understanding public health challenges by offering insights into patient behaviors, medication use, and mental health issues. However, analyzing such data remains difficult due to the…

Social and Information Networks · Computer Science 2025-08-15 Muhammad Ahmad , Fida Ullah , Muhammad Usman , Ildar Batyrshin , Grigori Sidorov

In micro-blogging platforms, people can connect with others and have conversations on a wide variety of topics. However, because of homophily and selective exposure, users tend to connect with like-minded people and only read agreeable…

Social and Information Networks · Computer Science 2015-08-03 Eduardo Graells-Garrido , Mounia Lalmas , Ricardo Baeza-Yates

The prevalence of social media presents a growing opportunity to collect and analyse examples of English varieties. Whilst usage of these varieties was - and, in many cases, still is - used only in spoken contexts or hard-to-access private…

Computation and Language · Computer Science 2024-01-23 Nhi Pham , Lachlan Pham , Adam L. Meyers

Even though the Internet and social media have increased the amount of news and information people can consume, most users are only exposed to content that reinforces their positions and isolates them from other ideological communities.…

Social and Information Networks · Computer Science 2021-12-21 Federico Albanese , Leandro Lombardi , Esteban Feuerstein , Pablo Balenzuela

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…

Social and Information Networks · Computer Science 2014-10-01 Lu Chen , Ingmar Weber , Adam Okulicz-Kozaryn

Toxic sentiment analysis on Twitter (X) often focuses on specific topics and events such as politics and elections. Datasets of toxic users in such research are typically gathered through lexicon-based techniques, providing only a…

Social and Information Networks · Computer Science 2024-06-06 Hina Qayyum , Muhammad Ikram , Benjamin Zhao , Ian Wood , Mohamad Ali Kaafar , Nicolas Kourtellis

Online social connections occur within a specific conversational context. Prior work in network analysis of social media data attempts to contextualize data through filtering. We propose a method of contextualizing online conversational…

Social and Information Networks · Computer Science 2022-07-27 Thomas Magelinski , Kathleen M. Carley

Our paper investigates the use of discourse embedding techniques to develop a community recommendation system that focuses on mental health support groups on social media. Social media platforms provide a means for users to anonymously…

Information Retrieval · Computer Science 2023-07-11 Hy Dang , Bang Nguyen , Noah Ziems , Meng Jiang

With the rise in popularity of public social media and micro-blogging services, most notably Twitter, the people have found a venue to hear and be heard by their peers without an intermediary. As a consequence, and aided by the public…

Computation and Language · Computer Science 2016-06-21 Prashanth Vijayaraghavan , Soroush Vosoughi , Deb Roy

Understanding the real-world effects of recreational drug use remains a critical challenge in public health and biomedical research, especially as traditional surveillance systems often underrepresent user experiences. In this study, we…

With the widespread adoption of social media sites like Twitter and Facebook, there has been a shift in the way information is produced and consumed. Earlier, the only producers of information were traditional news organizations, which…

Social and Information Networks · Computer Science 2017-10-19 Juhi Kulshrestha , Muhammad Bilal Zafar , Lisette Espin-Noboa , Krishna P. Gummadi , Saptarshi Ghosh

With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives. The huge volume of information generated by users raises new opportunities…

Information Retrieval · Computer Science 2018-08-16 Guangyuan Piao , John G. Breslin

Gang violence is a severe issue in major cities across the U.S. and recent studies [Patton et al. 2017] have found evidence of social media communications that can be linked to such violence in communities with high rates of exposure to…

Twitter provides an open and rich source of data for studying human behaviour at scale and is widely used in social and network sciences. However, a major criticism of Twitter data is that demographic information is largely absent.…

Social and Information Networks · Computer Science 2017-02-27 Benjamin Paul Chamberlain , Clive Humby , Marc Peter Deisenroth
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