| Whose Story Wins on Twitter? Visualizing the South China Sea dispute L Guo, K Mays, J Wang Journalism Studies 20 (4), 563-584, 2019 | 27 | 2019 |
| Detecting frames in news headlines and its application to analyzing news framing trends surrounding US gun violence S Liu, L Guo, K Mays, M Betke, DT Wijaya Proceedings of the 23rd conference on computational natural language …, 2019 | 25 | 2019 |
| A time-series, multinational analysis of democratic forecasts and emerging media diffusion, 1994–2014 J Groshek, K Mays International Journal of Communication 11, 23, 2017 | 13 | 2017 |
| Accurate, fast, but not always cheap: Evaluating “crowdcoding” as an alternative approach to analyze social media data L Guo, K Mays, S Lai, M Jalal, P Ishwar, M Betke Journalism & Mass Communication Quarterly 97 (3), 811-834, 2020 | 10 | 2020 |
| Journalism and truth in an age of social media JE Katz, KK Mays Oxford University Press, USA, 2019 | 10 | 2019 |
| What makes gun violence a (less) prominent issue? A computational analysis of compelling arguments and selective agenda setting L Guo, K Mays, Y Zhang, D Wijaya, M Betke Mass communication and society 24 (5), 651-675, 2021 | 9 | 2021 |
| Dynamic allocation of crowd contributions for sentiment analysis during the 2016 us presidential election M Sameki, M Gentil, KK Mays, L Guo, M Betke arXiv preprint arXiv:1608.08953, 2016 | 8 | 2016 |
| Trait motivational reactivity as a predictor of online dating app behavior JJ Cummings, K Mays Computers in Human Behavior 121, 106775, 2021 | 4 | 2021 |
| The use and verification of online sources in the news production process S Lecheler, S Kruikemeier, Y de Haan, JE Katz, KK Mays Journalism and Truth in an Age of Social Media, 167-181, 2019 | 4 | 2019 |
| Performance comparison of crowdworkers and nlp tools on named-entity recognition and sentiment analysis of political tweets M Jalal, KK Mays, L Guo, M Betke arXiv preprint arXiv:2002.04181, 2020 | 3 | 2020 |
| Mediated communication and customer service experiences: psychological and demographic predictors of user evaluations in the United States K Mays, J Katz, J Groshek | 2 | 2020 |
| BUOCA: budget-optimized crowd worker allocation M Sameki, S Lai, KK Mays, L Guo, P Ishwar, M Betke arXiv preprint arXiv:1901.06237, 2019 | 2 | 2019 |
| AI as a boss? A national US survey of predispositions governing comfort with expanded AI roles in society KK Mays, Y Lei, R Giovanetti, JE Katz AI & SOCIETY, 1-14, 2021 | 1 | 2021 |
| Breaching perpetual contact: Withdrawing from mobile and social media use in everyday life AH Caron, KK Mays First Monday, 2021 | 1 | 2021 |
| Mediated communication and customer service experiences KK Mays, JE Katz, J Groshek Periodica Polytechnica Social and Management Sciences, 2022 | | 2022 |
| Mediated Communication and Customer Service Experiences: Psychological and Demographic Predictors of User Evaluations in the United States KK Mays, JE Katz, J Groshek Periodica Polytechnica Social and Management Sciences 30 (1), 1-11, 2022 | | 2022 |
| Des communications mobiles à la robotique sociale, relations et émotions JE Katz, KK Mays, A Schuster Questions de communication, 311-329, 2021 | | 2021 |
| Opening education through emerging technology: What are the prospects? Public perceptions of Artificial Intelligence and Virtual Reality in the classroom JE Katz, KK Mays, YS Lei Opus et Educatio 8 (1), 2021 | | 2021 |
| Possibility or Peril? Exploring the Emotional Choreography of Social Robots in Inter-and Intrapersonal Lives KK Mays Perceiving the Future through New Communication Technologies, 57-74, 2021 | | 2021 |
| Humanizing robots? The influence of appearance and status on social perceptions of robots KK Mays Boston University, 2021 | | 2021 |
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