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Related papers: The 'who' and 'what' of #diabetes on Twitter

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Obesity and diabetes epidemics are affecting about a third and tenth of US population, respectively, capturing the attention of the nation and its institutions. Social media provides an open forum for communication between individuals and…

Social and Information Networks · Computer Science 2018-04-10 Yelena Mejova

Social media provide a platform for users to express their opinions and share information. Understanding public health opinions on social media, such as Twitter, offers a unique approach to characterizing common health issues such as…

Social and Information Networks · Computer Science 2019-08-17 Amir Karami , Alicia A. Dahl , Gabrielle Turner-McGrievy , Hadi Kharrazi, , George Shaw

Considering the raising socio-economic burden of autism spectrum disorder (ASD), timely and evidence-driven public policy decision making and communication of the latest guidelines pertaining to the treatment and management of the disorder…

Social and Information Networks · Computer Science 2015-06-02 Adham Beykikhoshk , Ognjen Arandjelovic , Dinh Phung , Svetha Venkatesh , Terry Caelli

One way to assess a certain aspect of the value of scientific research is to measure the attention it receives on social media. While previous research has mostly focused on the "number of mentions" of scientific research on social media,…

Information Retrieval · Computer Science 2021-09-03 Robin Haunschild , Lutz Bornmann , Devendra Potnis , Iman Tahamtan

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

Motivations: People are generating an enormous amount of social data to describe their health care experiences, and continuously search information about diseases, symptoms, diagnoses, doctors, treatment options and medicines. The…

Computers and Society · Computer Science 2019-02-19 Andrea Lenzi , Marianna Maranghi , Giovanni Stilo , Paola Velardi

This paper aims to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention. We combine data from Web of Science and Altmetric.com, a platform which retrieves mentions to…

Digital Libraries · Computer Science 2019-06-11 Nicolas Robinson-Garcia , Wenceslao Arroyo-Machado , Daniel Torres-Salinas

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users…

Social and Information Networks · Computer Science 2021-09-14 Francesco Durazzi , Martin Müller , Marcel Salathé , Daniel Remondini

Understanding who shares academic publications on Twitter is critical to interpreting altmetrics as signals of scholarly or societal impact. Prior studies have used diverse and often incompatible user classification schemes, making…

Digital Libraries · Computer Science 2025-12-09 Ashraf Maleki , Kim Holmberg

Twitter, a microblogging service, is todays most popular platform for communication in the form of short text messages, called Tweets. Users use Twitter to publish their content either for expressing concerns on information news or views on…

Social and Information Networks · Computer Science 2017-11-29 Dhanasekar Sundararaman , Priya Arora , Vishwanath Seshagiri

Food is an integral part of our lives, cultures, and well-being, and is of major interest to public health. The collection of daily nutritional data involves keeping detailed diaries or periodic surveys and is limited in scope and reach.…

Computers and Society · Computer Science 2015-01-27 Sofiane Abbar , Yelena Mejova , Ingmar Weber

Social media based digital epidemiology has the potential to support faster response and deeper understanding of public health related threats. This study proposes a new framework to analyze unstructured health related textual data via…

Social and Information Networks · Computer Science 2017-09-26 George Shaw , Amir Karami

Objective: Leveraging machine learning methods, we aim to extract both explicit and implicit cause-effect associations in patient-reported, diabetes-related tweets and provide a tool to better understand opinion, feelings and observations…

We propose to use Twitter data as social-spatial sensors. This study deals with the question whether research papers on certain diseases are perceived by people in regions (worldwide) that are especially concerned by the diseases. Since…

Digital Libraries · Computer Science 2021-01-27 Lutz Bornmann , Robin Haunschild , Vanash M. Patel

Centrality is one of the most studied concepts in social network analysis. There is a huge literature regarding centrality measures, as ways to identify the most relevant users in a social network. The challenge is to find measures that can…

Social and Information Networks · Computer Science 2016-04-26 Fabián Riquelme , Pablo González-Cantergiani

Twitter has been identified as one of the most popular and promising altmetrics data sources, as it possibly reflects a broader use of research articles by the general public. Several factors, such as document age, scientific discipline,…

Digital Libraries · Computer Science 2015-07-02 Jens Peter Andersen , Stefanie Haustein

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

Since the advent of online social media platforms such as Twitter and Facebook, useful health-related studies have been conducted using the information posted by online participants. Personal health-related issues such as mental health,…

Computation and Language · Computer Science 2021-04-02 Muhammad Abubakar Alhassan , Isa Inuwa-Dutse , Bello Shehu Bello , Diane Pennington

Serious concerns have been raised about the role of 'socialbots' in manipulating public opinion and influencing the outcome of elections by retweeting partisan content to increase its reach. Here we analyze the role and influence of…

Social and Information Networks · Computer Science 2018-05-18 Marian-Andrei Rizoiu , Timothy Graham , Rui Zhang , Yifei Zhang , Robert Ackland , Lexing Xie

The rise of a trending topic on Twitter or Facebook leads to the temporal emergence of a set of users currently interested in that topic. Given the temporary nature of the links between these users, being able to dynamically identify…

Social and Information Networks · Computer Science 2017-07-28 Lorena Recalde , David F. Nettleton , Ricardo Baeza-Yates , Ludovico Boratto
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