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Svitlana Volkova
Svitlana Volkova
Chief AI Scientist, Office of Science and Technology, Aptima Inc.
Подтвержден адрес электронной почты в домене aptima.com - Главная страница
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Процитировано
Процитировано
Год
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
9562017
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
3992017
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
2652015
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
2022013
Inferring latent user properties from texts published in social media
S Volkova, Y Bachrach, M Armstrong, V Sharma
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
1842015
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
1712014
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
1212018
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
1032018
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
1032017
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
1012015
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
872017
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
742016
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
692013
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
572018
Vulnerable to misinformation? Verifi!
A Karduni, I Cho, R Wesslen, S Santhanam, S Volkova, DL Arendt, ...
Proceedings of the 24th International Conference on Intelligent User …, 2019
482019
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, ...
Proceedings of the international AAAI conference on web and social media 12 (1), 2018
462018
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 …, 2017
442017
Identifying and understanding user reactions to deceptive and trusted social news sources
M Glenski, T Weninger, S Volkova
arXiv preprint arXiv:1805.12032, 2018
402018
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
382016
Multiple social platforms reveal actionable signals for software vulnerability awareness: A study of GitHub, Twitter and Reddit
P Shrestha, A Sathanur, S Maharjan, E Saldanha, D Arendt, S Volkova
Plos one 15 (3), e0230250, 2020
372020
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