Democrats, republicans and starbucks afficionados: user classification in twitter

By Marco Pennacchiotti, Ana-Maria Popescu. Knowledge Discovery and Data Mining, 2011

358 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Predicting emerging social conventions in online social networks (2012, background): “and affinity for a particular business can be inferred in Twitter [35], and these features may be useful for determining which retweet-”
Attributed Social Network Embedding (2017, background): “Many studies have justified their importance, ranging from user demographics [7], to subjective preference like political orientation and personal interests [8].”
Stance Detection on Social Media: State of the Art and Trends (2020, background): “The network features that have been used to learn the users’ representations on social media can be grouped under two categories, namely, users’ behavioral data [26, 64, 123] and users’ meta-data attributes [97].”
Bias in Wikipedia (2017, background): “Language features have proven to be effective when determining the political leaning of a user on Twitter [18].”