79 citations · 299 across the 18 of their papers we have counts for
22 papers
Structural Dynamics of Harmful Content Dissemination on WhatsApp
Yuxin Liu, M. Amin Rahimian, Kiran Garimella
WhatsApp, a platform with more than two billion global users, plays a crucial role in digital communication, but also serves as a vector for harmful content such as misinformation,…
A First Look at COVID-19 Messages on WhatsApp in Pakistan
R. Tallal Javed, Mirza Elaaf Shuja, Muhammad Usama +5
The worldwide spread of COVID-19 has prompted extensive online discussions, creating an `infodemic' on social media platforms such as WhatsApp and Twitter. However, the information…
Characterising User Content on a Multi-lingual Social Network
Pushkal Agarwal, Kiran Garimella, Sagar Joglekar +2
Social media has been on the vanguard of political information diffusion in the 21st century. Most studies that look into disinformation, political influence and fake-news focus on…
Hot Streaks on Social Media
Kiran Garimella, Robert West
Measuring the impact and success of human performance is common in various disciplines, including art, science, and sports. Quantifying impact also plays a key role on social media…
Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1
Echo chambers, i.e., situations where one is exposed only to opinions that agree with their own, are an increasing concern for the political discourse in many democratic countries.…
Studying Migrant Assimilation Through Facebook Interests
Antoine Dubois, Emilio Zagheni, Kiran Garimella +1
Migrants' assimilation is a major challenge for European societies, in part because of the sudden surge of refugees in recent years and in part because of long-term demographic tre…
Professional Gender Gaps Across US Cities
Karri Haranko, Emilio Zagheni, Kiran Garimella +1
Gender imbalances in work environments have been a long-standing concern. Identifying the existence of such imbalances is key to designing policies to help overcome them. In this w…
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter
Preethi Lahoti, Kiran Garimella, Aristides Gionis
People are shifting from traditional news sources to online news at an incredibly fast rate. However, the technology behind online news consumption promotes content that confirms t…
Balancing Information Exposure in Social Networks
Kiran Garimella, Aristides Gionis, Nikos Parotsidis +1
Social media has brought a revolution on how people are consuming news. Beyond the undoubtedly large number of advantages brought by social-media platforms, a point of criticism ha…
Characterizing Fan Behavior to Study Para Social Breakups
Kiran Garimella, Jonathan Cohen, Ingmar Weber
Celebrity and fandom have been studied extensively in real life. However, with more and more celebrities using social media, the dynamics of interaction between celebrities and fan…
Factors in Recommending Contrarian Content on Social Media
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1
Polarization is a troubling phenomenon that can lead to societal divisions and hurt the democratic process. It is therefore important to develop methods to reduce it. We propose an…
The Effect of Collective Attention on Controversial Debates on Social Media
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1
We study the evolution of long-lived controversial debates as manifested on Twitter from 2011 to 2016. Specifically, we explore how the structure of interactions and content of dis…
Exposing Twitter Users to Contrarian News
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1
Polarized topics often spark discussion and debate on social media. Recent studies have shown that polarized debates have a specific clustered structure in the endorsement net- wor…
The Ebb and Flow of Controversial Debates on Social Media
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1
We explore how the polarization around controversial topics evolves on Twitter - over a long period of time (2011 to 2016), and also as a response to major external events that lea…
A Long-Term Analysis of Polarization on Twitter
Kiran Garimella, Ingmar Weber
Social media has played an important role in shaping political discourse over the last decade. At the same time, it is often perceived to have increased political polarization, tha…
A Motif-based Approach for Identifying Controversy
Mauro Coletto, Kiran Garimella, Aristides Gionis +1
Among the topics discussed in Social Media, some lead to controversy. A number of recent studies have focused on the problem of identifying controversy in social media mostly based…
Quote RTs on Twitter: Usage of the New Feature for Political Discourse
Kiran Garimella, Ingmar Weber, Munmun De Choudhury
Social media platforms provide several social interactional features. Due to the large scale reach of social media, these interactional features help enable various types of politi…
Social Media Image Analysis for Public Health
Kiran Garimella, Abdulrahman Alfayad, Ingmar Weber
Several projects have shown the feasibility to use textual social media data to track public health concerns, such as temporal influenza patterns or geographical obesity patterns.…
Scalable Facility Location for Massive Graphs on Pregel-like Systems
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1
We propose a new scalable algorithm for facility location. Facility location is a classic problem, where the goal is to select a subset of facilities to open, from a set of candida…
Co-Following on Twitter
Venkata Rama Kiran Garimella, Ingmar Weber
We present an in-depth study of co-following on Twitter based on the observation that two Twitter users whose followers have similar friends are also similar, even though they migh…
Gender Asymmetries in Reality and Fiction: The Bechdel Test of Social Media
David Garcia, Ingmar Weber, Venkata Rama Kiran Garimella
The subjective nature of gender inequality motivates the analysis and comparison of data from real and fictional human interaction. We present a computational extension of the Bech…
Who Watches (and Shares) What on YouTube? And When? Using Twitter to Understand YouTube Viewership
Adiya Abisheva, Venkata Rama Kiran Garimella, David Garcia +1
We combine user-centric Twitter data with video-centric YouTube data to analyze who watches and shares what on YouTube. Combination of two data sets, with 87k Twitter users, 5.6mln…