Venkata Rama Kiran Garimella

Publications61
h-index18
Citations1,240
Highly Influential Citations68
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  • Publications
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Quantifying Controversy in Social Media
TLDR
We perform a systematic methodological study of controversy detection using social media network structure and content. Expand
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Quantifying Controversy on Social Media
TLDR
We perform a systematic methodological study of controversy detection by using the content and the network structure of social media. Expand
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Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship
TLDR
We define a production and consumption measure for social-media users, which captures the political leaning of the content shared and received by them. Expand
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A Long-Term Analysis of Polarization on Twitter
TLDR
Social media has played an important role in shaping political discourse over the last decade. Expand
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Reducing Controversy by Connecting Opposing Views
TLDR
We propose a simple model based on a recently-developed controversy score, that is competitive with state-of-the-art link-prediction algorithms. Expand
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Secular vs. Islamist polarization in Egypt on Twitter
TLDR
We use public data from Twitter, both in English and Arabic, to study the phenomenon of secular vs. Islamist polarization in Twitter. Expand
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WhatsApp, Doc? A First Look at WhatsApp Public Group Data
TLDR
In this dataset paper we describe our work on the collection and analysis of public WhatsApp group data and a publicly available dataset for use by other researchers. Expand
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Inferring international and internal migration patterns from Twitter data
TLDR
In this paper, we use geolocated data from the social network website “Twitter” to evaluate recent trends in migrations in OECD countries. Expand
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  • 2
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Mining web query logs to analyze political issues
TLDR
We present a novel approach to using anonymized web search query logs to analyze and visualize political issues and discover connections between the different variables. Expand
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Political hashtag hijacking in the U.S.
TLDR
We study the change in polarization of hashtags on Twitter over time and show that certain jumps in polarity are caused by "hijackers" engaged in a particular type of hashtag war. Expand
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