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The aim of this paper is to present methods to systematically analyze individual and group behavioral patterns observed in community driven discussion platforms like Reddit where users exchange information and views on various topics of…

Social and Information Networks · Computer Science 2018-09-20 Sachin Thukral , Hardik Meisheri , Tushar Kataria , Aman Agarwal , Ishan Verma , Arnab Chatterjee , Lipika Dey

Several recent studies of online social networking platforms have found that adoption rates and engagement levels are positively correlated with structural diversity, the degree of heterogeneity among an individual's contacts as measured by…

Social and Information Networks · Computer Science 2019-09-11 Jessica Su , Krishna Kamath , Aneesh Sharma , Johan Ugander , Sharad Goel

Online platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is…

Social and Information Networks · Computer Science 2023-10-24 Jon Kleinberg , Sendhil Mullainathan , Manish Raghavan

A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim to estimate the calorie amount of a meal directly from an…

Computer Vision and Pattern Recognition · Computer Science 2020-11-03 Robin Ruede , Verena Heusser , Lukas Frank , Alina Roitberg , Monica Haurilet , Rainer Stiefelhagen

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

We study the problem of analyzing influence of various factors affecting individual messages posted in social media. The problem is challenging because of various types of influences propagating through the social media network that act…

Social and Information Networks · Computer Science 2012-05-08 Himabindu Lakkaraju , Indrajit Bhattacharya , Chiranjib Bhattacharyya

Food is an integral part of our life and what and how much we eat crucially affects our health. Our food choices largely depend on how we perceive certain characteristics of food, such as whether it is healthy, delicious or if it qualifies…

Computers and Society · Computer Science 2017-02-22 Ferda Ofli , Yusuf Aytar , Ingmar Weber , Raggi al Hammouri , Antonio Torralba

We propose and develop a Lexicocalorimeter: an online, interactive instrument for measuring the "caloric content" of social media and other large-scale texts. We do so by constructing extensive yet improvable tables of food and activity…

Online-to-offline (O2O) food delivery platforms have greatly expanded urban residents' access to a wide range of food options by allowing convenient ordering from distant food outlets. However, concerns persist regarding the nutritional…

Computers and Society · Computer Science 2025-05-05 Yunke Zhang , Yiran Fan , Peijie Liu , Fengli Xu , Yong Li

Nowadays millions of images are shared on social media and web platforms. In particular, many of them are food images taken from a smartphone over time, providing information related to the individual's diet. On the other hand, eating…

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

Assessment of dietary intake has primarily relied on self-report instruments, which are prone to measurement errors. Dietary assessment methods have increasingly incorporated technological advances particularly mobile, image based…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Gautham Vinod , Zeman Shao , Fengqing Zhu

Many of today's most widely used computing applications utilize social networking features and allow users to connect, follow each other, share content, and comment on others' posts. However, despite the widespread adoption of these…

Social and Information Networks · Computer Science 2016-12-19 Tim Althoff , Pranav Jindal , Jure Leskovec

Online content platforms commonly use engagement-based optimization when making recommendations. This encourages content creators to invest in quality, but also rewards gaming tricks such as clickbait. To understand the total impact on the…

Computer Science and Game Theory · Computer Science 2024-01-19 Nicole Immorlica , Meena Jagadeesan , Brendan Lucier

This paper studies the dynamics of opinion formation and polarization in social media. We investigate whether users' stance concerning contentious subjects is influenced by the online discussions they are exposed to and interactions with…

Social and Information Networks · Computer Science 2021-10-29 Christine Largeron , Andrei Mardale , Marian-Andrei Rizoiu

The central role of food in our individual and social life, combined with recent technological advances, has motivated a growing interest in applications that help to better monitor dietary habits as well as the exploration and retrieval of…

Computer Vision and Pattern Recognition · Computer Science 2018-01-23 Luis Herranz , Weiqing Min , Shuqiang Jiang

In this study, we propose a novel graph-based approach to model, analyze and comprehend user interactions within a social media platform based on post-comment relationship. We construct a user interaction graph from social media data and…

Social and Information Networks · Computer Science 2024-12-02 Md Kaykobad Reza , S M Maksudul Alam , Yiran Luo , Youzhe Liu , Md Siam

Background Multiple sclerosis (MS) is a complex immune-mediated disease with no currently known cure. There is growing evidence to support the role of diet in reducing some of the symptoms and disease progression in MS, and we previously…

Other Quantitative Biology · Quantitative Biology 2024-04-23 RD Russell , J He , LJ Black , A Begley

Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits. To address this issue, both national and international organisations have made numerous efforts to promote…

Portraying emotion and trustworthiness is known to increase the appeal of video content. However, the causal relationship between these signals and online user engagement is not well understood. This limited understanding is partly due to a…

Multimedia · Computer Science 2021-05-05 Lukas Stappen , Alice Baird , Michelle Lienhart , Annalena Bätz , Björn Schuller
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