Svitlana Volkova
Cited by
Cited by
Truth of varying shades: Analyzing language in fake news and political fact-checking
H Rashkin, E Choi, JY Jang, S Volkova, Y Choi
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter
S Volkova, K Shaffer, JY Jang, N Hodas
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Studying user income through language, behaviour and affect in social media
D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras
PloS one 10 (9), e0138717, 2015
Inferring latent user properties from texts published in social media
S Volkova, Y Bachrach, M Armstrong, V Sharma
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Exploring demographic language variations to improve multilingual sentiment analysis in social media
S Volkova, T Wilson, D Yarowsky
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
Inferring user political preferences from streaming communications
S Volkova, G Coppersmith, B Van Durme
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
On predicting sociodemographic traits and emotions from communications in social networks and their implications to online self-disclosure
S Volkova, Y Bachrach
Cyberpsychology, Behavior, and Social Networking 18 (12), 726-736, 2015
Exploring sentiment in social media: Bootstrapping subjectivity clues from multilingual twitter streams
S Volkova, T Wilson, D Yarowsky
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
Forecasting influenza-like illness dynamics for military populations using neural networks and social media
S Volkova, E Ayton, K Porterfield, CD Corley
PloS one 12 (12), e0188941, 2017
Using social media to predict the future: a systematic literature review
L Phillips, C Dowling, K Shaffer, N Hodas, S Volkova
arXiv preprint arXiv:1706.06134, 2017
RuSentiment: An enriched sentiment analysis dataset for social media in Russian
A Rogers, A Romanov, A Rumshisky, S Volkova, M Gronas, A Gribov
Proceedings of the 27th international conference on computational …, 2018
Inferring perceived demographics from user emotional tone and user-environment emotional contrast
S Volkova, Y Bachrach
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Misleading or falsification: Inferring deceptive strategies and types in online news and social media
S Volkova, JY Jang
Companion Proceedings of the The Web Conference 2018, 575-583, 2018
CLex: a lexicon for exploring color, concept and emotion associations in language
S Volkova, WB Dolan, T Wilson
Proceedings of the 13th Conference of the European Chapter of the …, 2012
Using emotions to predict user interest areas in online social networks
Y Lewenberg, Y Bachrach, S Volkova
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
Can you verifi this? studying uncertainty and decision-making about misinformation using visual analytics
A Karduni, R Wesslen, S Santhanam, I Cho, S Volkova, D Arendt, ...
Twelfth international AAAI conference on web and social media, 2018
Identifying effective signals to predict deleted and suspended accounts on twitter across languages
S Volkova, E Bell
Proceedings of the International AAAI Conference on Web and Social Media 11 (1), 2017
Mining user interests to predict perceived psycho-demographic traits on twitter
S Volkova, Y Bachrach, B Van Durme
2016 IEEE Second International Conference on Big Data Computing Service and …, 2016
Propagation from deceptive news sources who shares, how much, how evenly, and how quickly?
M Glenski, T Weninger, S Volkova
IEEE Transactions on Computational Social Systems 5 (4), 1071-1082, 2018
Crowdsourced, grounded language for intent modeling in conversational interfaces
CJ Brockett, P Choudhury, WB Dolan, YC Ju, P Pantel, NM Sophy, ...
US Patent 9,754,585, 2017
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