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The profusion of user generated content caused by the rise of social media platforms has enabled a surge in research relating to fields such as information retrieval, recommender systems, data mining and machine learning.
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
John Blitzer, Mark Dredze, and Fernando Pereira · 2007
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Novelty and collective attention
F. Wu and B. A. Huberman · 2007
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Analysis of social voting patterns on digg
Kristina Lerman and Aram Galstyan · 2008
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Digging digg: Comment mining, popularity prediction, and social network analysis
Salman Jamali and Huzefa Rangwala · 2009
Earlier work this paper cites.
Information contagion: An empirical study of the spread of news on digg and twitter social networks
Kristina Lerman and Rumi Ghosh · 2010
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Using a model of social dynamics to predict popularity of news
Kristina Lerman and Tad Hogg · 2010
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Want to be retweeted? large scale analytics on factors impacting retweet in twitter network
B. Suh, L. Hong, P. Pirolli, and E. H. Chi · 2010
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Predicting the popularity of online content
Gabor Szabo and Bernardo A. Huberman · 2010
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Describing and forecasting video access patterns
Gonca Gürsun, Mark Crovella, and Ibrahim Matta · 2011
Earlier work this paper cites.
Predicting popular messages in twitter
Liangjie Hong, Ovidiu Dan, and Brian D. Davison · 2011
Earlier work this paper cites.
Attention prediction on social media brand pages
Himabindu Lakkaraju and Jitendra Ajmera · 2011
Earlier work this paper cites.
Patterns of temporal variation in online media
Jaewon Yang and Jure Leskovec · 2011
Cited alongside, same era.
The pulse of news in social media: Forecasting popularity
Roja Bandari, Sitaram Asur, and Bernardo A. Huberman · 2012
Cited alongside, same era.
From chatter to headlines: Harnessing the real-time web for personalized news recommendation
Gianmarco De Francisci Morales, Aristides Gionis, and Claudio Lucchese · 2012
Cited alongside, same era.
Predicting future popularity trend of events in microblogging platforms
M. Gupta, J. Gao, C. Zhai, and J. Han · 2012
Cited alongside, same era.
A survey of opinion mining and sentiment analysis
Bing Liu and Lei Zhang · 2012
Cited alongside, same era.
Mining Social Media: Tracking Content and Predicting Behavior
Manos Tsagkias · 2012
Cited alongside, same era.
Facebook, twitter and google plus for breaking news: Is there a winner?
M. Osborne and M. Dredze · 2014
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A survey on predicting the popularity of web content
Alexandru Tatar, Marcelo Dias de Amorim, Serge Fdida, and Panayotis Antoniadis · 2014
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A bayesian approach for predicting the popularity of tweets
Tauhid Zaman, Emily B. Fox, and Eric T. Bradlow · 2014
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The good, the bad, and the ugly: uncovering novel research opportunities in social media mining
Huan Liu, Fred Morstatter, Jiliang Tang, and Reza Zafarani · 2016
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Reuters institute digital news report 2016
Nic Newman, Richard Fletcher, David A. L. Levy, and Rasmus Kleis Nielsen · 2016
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What’s in a hashtag?: Content based prediction of the spread of ideas in microblogging communities
Oren Tsur and Ari Rappoport · 2012
Cited alongside, same era.
Personalized news recommendation with context trees
Florent Garcin, Christos Dimitrakakis, and Boi Faltings · 2013
Cited alongside, same era.
Can twitter replace newswire for breaking news?
Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, and Luke Shrimpton · 2013
Cited alongside, same era.
qdap: Quantitative Discourse Analysis Package
Tyler W. Rinker · 2013
Cited alongside, same era.
Benjamin Shulman, Amit Sharma, and Dan Cosley · 2016
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Facebook - statistics, 2016
Facebook · 2017
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Twitter - statistics, 2016
Twitter · 2017
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Youtube - statistics, 2016
Youtube · 2017
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Ethical decision-making and internet research: Recommendations from the aoir ethics working committee (version 2.0)
Annette Markham and Elizabeth Buchanan · 2018
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