| 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 | 360 | 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 | 193 | 2015 |
| 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 | 183 | 2017 |
| 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 | 138 | 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 | 134 | 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 | 130 | 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 | 69 | 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 | 58 | 2013 |
| 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 | 45 | 2017 |
| 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 | 43 | 2016 |
| 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 | 40 | 2017 |
| 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 | 36 | 2018 |
| 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 | 33 | 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 | 32 | 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 | 29 | 2015 |
| 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 | 24 | 2016 |
| 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 | 21 | 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 | 21 | 2017 |
| Crowdsourced, grounded language for intent modeling in conversational interfaces CJ Brockett, P Choudhury, WB Dolan, Y Ju, P Pantel, NM Sophy, ... US Patent 9,754,585, 2017 | 19 | 2017 |
| Identifying and understanding user reactions to deceptive and trusted social news sources M Glenski, T Weninger, S Volkova arXiv preprint arXiv:1805.12032, 2018 | 17 | 2018 |
Yoram BachrachDeepMindVerified email at google.com
