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The advent of social media has provided an extraordinary, if imperfect, 'big data' window into the form and evolution of social networks. Based on nearly 40 million message pairs posted to Twitter between September 2008 and February 2009,…

Social and Information Networks · Computer Science 2012-05-14 Catherine A. Bliss , Isabel M. Kloumann , Kameron Decker Harris , Christopher M. Danforth , Peter Sheridan Dodds

Motivation: HIV is difficult to treat because its virus mutates at a high rate and mutated viruses easily develop resistance to existing drugs. If the relationships between mutations and drug resistances can be determined from historical…

Quantitative Methods · Quantitative Biology 2019-07-08 Li Xing , Mary Lesperance , Xuekui Zhang

In this paper, we look at a database of tweets sorted by various keywords that could indicate the users sentiment towards covid vaccines. With social media becoming such a prevalent source of opinion, sorting and ranking tweets that hold…

Computation and Language · Computer Science 2023-11-09 Wenbo Zhu , Tiechuan Hu

This article investigates the impact of user homophily on the social process of information diffusion in online social media. Over several decades, social scientists have been interested in the idea that similarity breeds connection:…

Computers and Society · Computer Science 2010-06-10 Munmun De Choudhury , Hari Sundaram , Ajita John , Doree Duncan Seligmann , Aisling Kelliher

Social media platforms have been exploited to disseminate misinformation in recent years. The widespread online misinformation has been shown to affect users' beliefs and is connected to social impact such as polarization. In this work, we…

Computers and Society · Computer Science 2021-11-02 Yichen Wang , Richard Han , Tamara Lehman , Qin Lv , Shivakant Mishra

Introduction: The value of integrating federal HIV services data with HIV surveillance is currently unknown. Upstream and complete case capture is essential in preventing future HIV transmission. Methods: This study integrated Ryan White,…

Machine Learning · Computer Science 2023-04-21 Nick Williams

Survivors of sexual harassment frequently share their experiences on social media, revealing their feelings and emotions and seeking advice. We observed that on Reddit, survivors regularly share long posts that describe a combination of (i)…

Computation and Language · Computer Science 2023-03-21 Vaibhav Garg , Jiaqing Yuan , Rujie Xi , Munindar P. Singh

Nowadays, people from all around the world use social media sites to share information. Twitter for example is a platform in which users send, read posts known as tweets and interact with different communities. Users share their daily…

Computation and Language · Computer Science 2020-07-14 Antony Samuels , John Mcgonical

This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we created a…

Computation and Language · Computer Science 2022-11-29 Chad A Melton , Brianna M White , Robert L Davis , Robert A Bednarczyk , Arash Shaban-Nejad

Social media has been considered as a data source for tracking disease. However, most analyses are based on models that prioritize strong correlation with population-level disease rates over determining whether or not specific individual…

Social and Information Networks · Computer Science 2014-04-14 Todd Bodnar , Victoria C Barclay , Nilam Ram , Conrad S Tucker , Marcel Salathé

In social media platforms, user behavior is often influenced by interactions with other users, complicating the accurate estimation of causal effects in traditional A/B experiments. This study investigates situations where an individual's…

Social and Information Networks · Computer Science 2024-02-21 Lu Deng , Yilin Li , JingJing Zhang , Yong Wang , Chuan Chen

Social media are being increasingly used for health promotion, yet the landscape of users, messages and interactions in such fora is poorly understood. Studies of social media and diabetes have focused mostly on patients, or public agencies…

This paper reviews literature from 2011 to 2013 on how Latent attributes like gender, political leaning etc. can be inferred from a person's twitter and neighborhood data. Prediction of demographic data can bring value to businesses, can…

Social and Information Networks · Computer Science 2016-10-13 Surabhi Singh Ludu

Human immunodeficiency virus (HIV-1 or simply HIV) induces a persistent infection, which in the absence of treatment leads to AIDS and death in almost all infected individuals. HIV infection elicits a vigorous immune response starting about…

Populations and Evolution · Quantitative Biology 2015-06-05 Vitaly V. Ganusov , Richard A. Neher , Alan S. Perelson

This paper presents our submission for the SMM4H 2022-Shared Task on the classification of self-reported intimate partner violence on Twitter (in English). The goal of this task was to accurately determine if the contents of a given tweet…

Computation and Language · Computer Science 2022-09-23 Alec Candidato , Akshat Gupta , Xiaomo Liu , Sameena Shah

Empirical studies of online disinformation emphasize matters of public concern such as the COVID-19 pandemic, foreign election interference, and the Russo-Ukraine war, largely in studies that treat the topics separately. Comparatively fewer…

Social and Information Networks · Computer Science 2024-07-01 David Axelrod , Sangyeon Kim , John Paolillo

At a time when information seekers first turn to digital sources for news and opinion, it is critical that we understand the role that social media plays in human behavior. This is especially true when information consumers also act as…

Social and Information Networks · Computer Science 2015-06-08 Maria Glenski , Thomas J. Johnston , Tim Weninger

Twitter has been increasingly used for spreading messages about campaigns. Such campaigns try to gain followers through their Twitter accounts, influence the followers and spread messages through them. In this paper, we explore the…

Social and Information Networks · Computer Science 2014-03-25 Jalal Mahmud , Huiji Gao

Tuberculosis (TB) is a major global health challenge, and is compounded by co-morbidities such as HIV, diabetes, and anemia, which complicate treatment outcomes and contribute to heterogeneous patient responses. Traditional models of TB…

Machine Learning · Computer Science 2024-11-19 Ethan Wu , Caleb Ellington , Ben Lengerich , Eric P. Xing

The Web is a vast virtual space where people can share their opinions, impacting all aspects of life and having implications for marketing and communication. The most up-to-date and comprehensive information can be found on social media…

Machine Learning · Computer Science 2023-02-15 Melvin Mokhtari , Ali Seraj , Niloufar Saeedi , Adel Karshenas