• Publications
  • Influence
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
TLDR
We present an analytic study on the language of news media in the context of political fact-checking and fake news detection to find linguistic characteristics of untrustworthy text. Expand
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Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter
TLDR
We build predictive models to classify 130 thousand news posts as suspicious or verified, and predict four sub-types of suspicious news – satire, hoaxes, clickbait and propaganda. Expand
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Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media
TLDR
We show that gender bias in the use of subjective language can effectively be used to improve sentiment analysis, and in particular, polarity classification for Spanish and Russian. Expand
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Inferring User Political Preferences from Streaming Communications
TLDR
We show that even when limited or no selfauthored data is available, language from friend, retweet and user mention communications provide sufficient evidence for prediction. Expand
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RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
TLDR
This paper presents RuSentiment, a new dataset for sentiment analysis of social media posts in Russian, and a new set of comprehensive annotation guidelines that are extensible to other languages. Expand
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Inferring Latent User Properties from Texts Published in Social Media
TLDR
We demonstrate an approach to predict latent personal attributes including user demographics, online personality, emotions and sentiments from texts published on Twitter. Expand
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Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
TLDR
We examine communications in a social network to study user emotional contrast – the propensity of users to express different emotions than those expressed by their neighbors. Expand
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On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure
TLDR
Social media services such as Twitter and Facebook are virtual environments where people express their thoughts, emotions, and opinions and where they reveal themselves to their peers. Expand
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CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data
TLDR
We present an interactive visual analytic system, CrystalBall, that automatically identifies and ranks future events from Twitter streams. Expand
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Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models
TLDR
This paper presents the results and conclusions of our participation in the Clickbait Challenge 2017 on automatic clickbait detection in social media. Expand
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