| Shifting attention to accuracy can reduce misinformation online G Pennycook, Z Epstein, M Mosleh, AA Arechar, D Eckles, DG Rand Nature 592 (7855), 590-595, 2021 | 1234* | 2021 |
| Rumor cascades A Friggeri, LA Adamic, D Eckles, J Cheng Proceedings of the International Conference on Webblogs and Social Media, 2014 | 658 | 2014 |
| Over-exposed? Privacy patterns and considerations in online and mobile photo sharing S Ahern, D Eckles, N Good, S King, M Naaman, R Nair CHI 2007: Proceedings of the SIGCHI conference on Human factors in computing …, 2007 | 466 | 2007 |
| Social influence in social advertising: Evidence from field experiments E Bakshy, D Eckles, R Yan, I Rosenn Proceedings of the 13th ACM Conference on Electronic Commerce, 146-161, 2012 | 402 | 2012 |
| Mobile Persuasion: 20 Perspectives on the Future of Behavior Change BJ Fogg, D Eckles | 336 | 2007 |
| Exact p-values for network interference S Athey, D Eckles, G Imbens Journal of the American Statistical Association, 2018 | 334 | 2018 |
| Design and analysis of experiments in networks: Reducing bias from interference D Eckles, B Karrer, J Ugander Journal of Causal Inference 5 (1), 20150021, 2017 | 323 | 2017 |
| Designing and deploying online field experiments E Bakshy, D Eckles, MS Bernstein Proceedings of the 23rd International Conference on World Wide Web, 283-292, 2014 | 250 | 2014 |
| Protecting elections from social media manipulation S Aral, D Eckles Science 365 (6456), 858-861, 2019 | 227 | 2019 |
| Interdependence and the cost of uncoordinated responses to COVID-19 D Holtz, M Zhao, SG Benzell, CY Cao, MA Rahimian, J Yang, JNL Allen, ... Proceedings of the National Academy of Sciences 117 (33), 19837-19843, 2020 | 212 | 2020 |
| Estimating peer effects in networks with peer encouragement designs D Eckles, RF Kizilcec, E Bakshy Proceedings of the National Academy of Sciences 113 (27), 7316-7322, 2016 | 167 | 2016 |
| Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 US presidential election JJ Jones, RM Bond, E Bakshy, D Eckles, JH Fowler PloS one 12 (4), e0173851, 2017 | 156 | 2017 |
| Heterogeneity in the effects of online persuasion M Kaptein, D Eckles Journal of Interactive Marketing 26 (3), 176-188, 2012 | 147 | 2012 |
| Images and misinformation in political groups: Evidence from WhatsApp in India K Garimella, D Eckles Harvard Kennedy School Misinformation Review, 2020 | 144 | 2020 |
| Shared partisanship dramatically increases social tie formation in a Twitter field experiment M Mosleh, C Martel, D Eckles, DG Rand Proceedings of the National Academy of Sciences 118 (7), e2022761118, 2021 | 137 | 2021 |
| Selecting effective means to any end: Futures and ethics of persuasion profiling M Kaptein, D Eckles International Conference on Persuasive Technology, 82-93, 2010 | 127 | 2010 |
| The behavior chain for online participation: How successful web services structure persuasion BJ Fogg, D Eckles International Conference on Persuasive Technology, 199-209, 2007 | 120 | 2007 |
| Providing normative information increases intentions to accept a COVID-19 vaccine A Moehring, A Collis, K Garimella, MA Rahimian, S Aral, D Eckles Nature Communications 14 (126), 2023 | 115* | 2023 |
| Perverse downstream consequences of debunking: Being corrected by another user for posting false political news increases subsequent sharing of low quality, partisan, and toxic … M Mosleh, C Martel, D Eckles, D Rand Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021 | 105 | 2021 |
| Bias and high-dimensional adjustment in observational studies of peer effects D Eckles, E Bakshy Journal of the American Statistical Association 116 (534), 2021 | 90 | 2021 |
David G. RandErwin H. Schell Professor, MIT SloanEmail verificata su mit.edu