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Foodborne illness is a serious but preventable public health problem -- with delays in detecting the associated outbreaks resulting in productivity loss, expensive recalls, public safety hazards, and even loss of life. While social media is…

Computation and Language · Computer Science 2022-09-15 Ruofan Hu , Dongyu Zhang , Dandan Tao , Thomas Hartvigsen , Hao Feng , Elke Rundensteiner

In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with…

Social and Information Networks · Computer Science 2015-04-15 Pasquale De Meo , Emilio Ferrara , Fabian Abel , Lora Aroyo , Geert-Jan Houben

Meal recommendation, as a typical health-related recommendation task, contains complex relationships between users, courses, and meals. Among them, meal-course affiliation associates user-meal and user-course interactions. However, an…

Information Retrieval · Computer Science 2024-04-30 Ming Li , Lin Li , Xiaohui Tao , Jimmy Xiangji Huang

To choose restaurants and coffee shops, people are increasingly relying on social-networking sites. In a popular site such as Foursquare or Yelp, a place comes with descriptions and reviews, and with profile pictures of people who frequent…

Human-Computer Interaction · Computer Science 2015-06-12 Miriam Redi , Daniele Quercia , Lindsay T. Graham , Samuel D. Gosling

We analyzed 1,596 sub-conversations within 451 direct message (DM) conversations from 67 teens (ages 13-17) who engaged in private discussions about body image on Instagram. Our findings show that teens often receive support when sharing…

Human-Computer Interaction · Computer Science 2025-04-04 Abdulmalik Alluhidan , Jinkyung Katie Park , Mamtaj Akter , Rachel Rodgers , Afsaneh Razi , Pamela J. Wisniewski

Investigating how different ingredients are combined in popular dishes is crucial to uncover the principles behind food preferences. Here, we use data from public food repositories and network analysis to characterize and compare worldwide…

While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating events remains an open issue. This paper proposes a…

Human-Computer Interaction · Computer Science 2022-06-01 Wageesha Bangamuarachchi , Anju Chamantha , Lakmal Meegahapola , Salvador Ruiz-Correa , Indika Perera , Daniel Gatica-Perez

Monitoring dietary habits is crucial for preventing health risks associated with overeating and undereating, including obesity, diabetes, and cardiovascular diseases. Traditional methods for tracking food intake rely on self-reported data…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Wallace Lee , YuHao Chen

Healthy foods are essential for a healthy life, but accessing healthy food can be more challenging for some people than others. This disparity in food access may lead to disparities in well-being, potentially with disproportionate rates of…

Applications · Statistics 2025-10-07 Sarah C. Lotspeich , Ashley E. Mullan , Lucy D'Agostino McGowan , Staci A. Hepler

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

Many aging individuals encounter challenges in effectively tracking their dietary intake, exacerbating their susceptibility to nutrition-related health complications. Self-reporting methods are often inaccurate and suffer from substantial…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Matthew Keller , Chi-en Amy Tai , Yuhao Chen , Pengcheng Xi , Alexander Wong

The burden of diabetes has disproportionately impacted Hispanic/Latino residents in the United States, with diet recognized as a major modifiable risk factor. Outcome-dependent dietary patterns provide insight into what foods may be…

Assessing dietary intake accurately remains an open and challenging research problem. In recent years, image-based approaches have been developed to automatically estimate food intake by capturing eat occasions with mobile devices and…

Information Retrieval · Computer Science 2019-10-16 Zeman Shao , Runyu Mao , Fengqing Zhu

Social Networking accounts for a significant chunk of interest among various online activities~\cite{smith2009social}. The proclivity of being social, online, has been ingrained in us so much that we are actively producing content for the…

Social and Information Networks · Computer Science 2017-02-27 Shubhanshu Gupta , Vaibhavi Desai , Harsh Thakkar

Diet plays a crucial role in health, and understanding the causal effects of dietary patterns is essential for informing public health policy and personalized nutrition strategies. However, causal inference in nutritional epidemiology faces…

Methodology · Statistics 2026-01-26 Dafne Zorzetto , Zizhao Xie , Julian Stamp , Arman Oganisian , Roberta De Vito

It is commonly believed that patterns of social ties affect individuals' economic status. Here, we translate this concept into an operational definition at the network level, which allows us to infer the economic wellbeing of individuals…

Physics and Society · Physics 2017-05-24 Shaojun Luo , Flaviano Morone , Carlos Sarraute , Matías Travizano , Hernán A. Makse

The way we eat and what we eat, the way we move and the way we sleep significantly impact the risk of becoming obese. These aspects of behavior decompose into several personal behavioral elements including our food choices, eating place…

Computers and Society · Computer Science 2019-11-20 Christos Diou , Ioannis Sarafis , Vasileios Papapanagiotou , Ioannis Ioakimidis , Anastasios Delopoulos

Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we address the unsupervised discovery of nutritional habits…

Computer Vision and Pattern Recognition · Computer Science 2020-09-17 Estefania Talavera , Andreea Glavan , Alina Matei , Petia Radeva

Food webs are networks describing who is eating whom in an ecological community. By now it is clear that many aspects of food-web structure are reproducible across diverse habitats, yet little is known about the driving force behind this…

Populations and Evolution · Quantitative Biology 2007-05-23 A. G. Rossberg , H. Matsuda , T. Amemiya , K. Itoh

Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of people around the world and its flavor by classifying two main…

Computer Vision and Pattern Recognition · Computer Science 2018-06-11 Md. Mostafa Kamal Sarker , Mohammed Jabreel , Hatem A. Rashwan , Syeda Furruka Banu , Antonio Moreno , Petia Radeva , Domenec Puig