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Social media platforms offer users multiple ways to engage with content--likes, retweets, and comments--creating a complex signaling system within the attention economy. While previous research has examined factors driving overall…

Social and Information Networks · Computer Science 2025-09-11 Yulin Yu , Houming Chen , Daniel Romero , Paramveer S. Dhillon

Social media users post content on various topics. A defining feature of social media is that other users can provide feedback -- called community feedback -- to their content in the form of comments, replies, and retweets. We hypothesize…

Social and Information Networks · Computer Science 2021-03-09 David Ifeoluwa Adelani , Ryota Kobayashi , Ingmar Weber , Przemyslaw A. Grabowicz

In order to keep up with the demand of curating the deluge of crowd-sourced content, social media platforms leverage user interaction feedback to make decisions about which content to display, highlight, and hide. User interactions such as…

Social and Information Networks · Computer Science 2017-07-04 Maria Glenski , Tim Weninger

Over the last decade, there has been a vast increase in eating disorder diagnoses and eating disorder-attributed deaths, reaching their zenith during the Covid-19 pandemic. This immense growth derived in part from the stressors of the…

Machine Learning · Computer Science 2023-11-07 Jonathan Feldman

Food and nutrition occupy an increasingly prevalent space on the web, and dishes and recipes shared online provide an invaluable mirror into culinary cultures and attitudes around the world. More specifically, ingredients, flavors, and…

User participation in online communities is driven by the intertwinement of the social network structure with the crowd-generated content that flows along its links. These aspects are rarely explored jointly and at scale. By looking at how…

Social and Information Networks · Computer Science 2017-11-03 Luca M. Aiello , Rossano Schifanella , Miriam Redi , Stacey Svetlichnaya , Frank Liu , Simon Osindero

Eating behaviors among a large population of children are studied as a dynamic process driven by nonlinear interactions in the sociocultural school environment. The impact of food association learning on diet dynamics, inspired by a pilot…

Other Quantitative Biology · Quantitative Biology 2016-01-15 Anarina L. Murillo , Muntaser Safan , Carlos Castillo-Chavez , Elizabeth D. Capaldi-Phillips , Devina Wadhera

When large social-media platforms allow users to easily form and self-organize into interest groups, highly related communities can arise. For example, the Reddit site hosts not just a group called food, but also HealthyFood, foodhacks,…

Social and Information Networks · Computer Science 2016-12-23 Jack Hessel , Chenhao Tan , Lillian Lee

Nutrition is a key determinant of long-term health, and social influence has long been theorized to be a key determinant of nutrition. It has been difficult to quantify the postulated role of social influence on nutrition using traditional…

Social and Information Networks · Computer Science 2021-02-18 Kristina Gligorić , Ryen W. White , Emre Kıcıman , Eric Horvitz , Arnaud Chiolero , Robert West

Accurately estimating how users respond to moderation interventions is paramount for developing effective and user-centred moderation strategies. However, this requires a clear understanding of which user characteristics are associated with…

Computers and Society · Computer Science 2025-10-24 Benedetta Tessa , Alejandro Moreo , Stefano Cresci , Tiziano Fagni , Fabrizio Sebastiani

This study proposes content and interaction analysis techniques for a large repository created from social media content. Though we have presented our study for a large platform dedicated to discussions around financial topics, the proposed…

Social and Information Networks · Computer Science 2024-03-13 Sachin Thukral , Suyash Sangwan , Arnab Chatterjee , Lipika Dey , Aaditya Agrawal , Pramit Kumar Chandra , Animesh Mukherjee

Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition. Although several methods to estimate nutrient intake have been developed, there is still a clear…

Computer Vision and Pattern Recognition · Computer Science 2020-03-19 Ya Lu , Thomai Stathopoulou , Maria F. Vasiloglou , Stergios Christodoulidis , Zeno Stanga , Stavroula Mougiakakou

Nutrient-based meal recommendations have the potential to help individuals prevent or manage conditions such as diabetes and obesity. However, learning people's food preferences and making recommendations that simultaneously appeal to their…

Human-Computer Interaction · Computer Science 2017-05-02 Longqi Yang , Cheng-Kang Hsieh , Hongjian Yang , Nicola Dell , Serge Belongie , Curtis Cole , Deborah Estrin

Social media feed algorithms infer user preferences from their past behaviors. Yet what drives engagement often diverges from what users value. We examine this gap between stated preferences (what users say they prefer) and revealed…

Human-Computer Interaction · Computer Science 2026-04-14 Do Won Kim , Cody Buntain , Giovanni Luca Ciampaglia

Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive.…

Computers and Society · Computer Science 2020-10-28 Helena Lee , Palakorn Achananuparp , Yue Liu , Ee-Peng Lim , Lav R. Varshney

Many people now watch health videos, such as diet, exercise, mental health, COVID-19, and chronic disease videos, on social media. Most existing studies focused on video creators, leaving the motivations and practices of viewers…

Human-Computer Interaction · Computer Science 2024-04-03 Jiaying Liu , Yan Zhang

Engaged costumers are a very import part of current social media marketing. Public figures and brands have to be very careful about what to post online. That is why the need for accurate strategies for anticipating the impact of a post…

Social and Information Networks · Computer Science 2019-09-24 Érika S. Rosas-Quezada , Gabriela Ramírez-de-la-Rosa , Esaú Villatoro-Tello

Increasingly people form opinions based on information they consume on online social media. As a result, it is crucial to understand what type of content attracts people's attention on social media and drive discussions. In this paper we…

Social and Information Networks · Computer Science 2017-05-09 Benjamin D. Horne , Sibel Adali , Sujoy Sikdar

Social media creates crucial mass changes, as popular posts and opinions cast a significant influence on users' decisions and thought processes. For example, the recent Reddit uprising inspired by r/wallstreetbets which had remarkable…

Machine Learning · Computer Science 2021-06-18 Juno Kim

Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health. Studies in this area are limited to existing datasets in…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Quin Thames , Arjun Karpur , Wade Norris , Fangting Xia , Liviu Panait , Tobias Weyand , Jack Sim