Full CV (in PDF). Disclosures of competing interests.

Most recent and most cited publications on Google Scholar.

Working papers

Evaluating stochastic seeding strategies in networks.
Chin, A.,* Eckles, D.,* & Ugander, J.*

Long ties accelerate noisy threshold-based contagions.
Eckles, D.,* Mossel, E.,* Rahimian, M.A.,* & Sen, S.*

Bias and high-dimensional adjustment in observational studies of peer effects.
Eckles, D., & Bakshy, E.

Seeding with costly network information.
Eckles, D.,* Esfandiari, H.,* Mossel, E.,* Rahimian, M.A.*

Understanding and reducing the spread of misinformation online.
Pennycook, G.,* Epstein, Z.,* Mosleh, M.,* Arechar, A. A., Eckles, D., & Rand, D.

Scalable bundling via dense product embeddings.
Kumar, M., Eckles, D., & Aral, S.

Noise-induced randomization in regression discontinuity designs.
Eckles, D.,* Ignatiadis, N.,* Wager, S.,* Wu, H.*

Interdependence and the cost of uncoordinated responses to COVID-19.
Holtz, D.,* Zhao, M.,* Benzell, S.G., Cao, C.Y., Rahimian, M.A., Yang, J., Allen, J., Collis, A., Moehring, A., Sowrirajan, T., Ghosh, D., Zhang, Y., Dhillon, P.S., Nicolaides, C., Eckles, D., & Aral, S.

Images and misinformation in political groups: Evidence from WhatsApp in India.
Garimella, K., & Eckles, D.

Selected published and forthcoming papers

Protecting elections from social media manipulation.
Aral, S.,* & Eckles, D.* (2019)
Science

Learning causal effects from many randomized experiments using regularized instrumental variables.
Peysakhovich, A., & Eckles, D. (2018)
Proceedings of WWW. ACM.

Social influence and reciprocity in online gift giving.
Kizilcec, R.F., Bakshy, E., Eckles, D., & Burke, M. (2018)
Proceedings of CHI. ACM.

Exact p-values for network interference.
Athey, S.,* Eckles, D,* & Imbens, G. W.* (2018)
Journal of the American Statistical Association

Design and analysis of experiments in networks: Reducing bias from interference.
Eckles, D.,* Karrer, B.,* & Ugander, J.* (2017)
Journal of Causal Inference

Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 U.S. Presidential Election.
Jones, J. J., Bond, R. M., Bakshy, E., Eckles, D., & Fowler, J. H. (2017)
PLOS ONE (code)

Estimating peer effects in networks with peer encouragement designs.
Eckles, D., Kizilcec, R. F. & Bakshy, E. (2016)
Proceedings of the National Academy of Sciences
(pdf, supplement, code)

Rumor cascades.
Friggeri, A., Adamic, L., Eckles, D., & Cheng, J. (2014)
Proceedings of ICWSM 2014. AAAI.

Designing and deploying online field experiments.
Bakshy, E., Eckles, D., Bernstein, M. (2014)
Proceedings of WWW 2014. ACM. (software)

Uncertainty in online experiments with dependent data: An evaluation of bootstrap methods.
Bakshy, E., & Eckles, D. (2013)
Proceedings of KDD. ACM.

Bootstrapping data arrays of arbitrary order.
Owen, A.B., & Eckles, D. (2012)
Annals of Applied Statistics

Social influence in social advertising: Evidence from field experiments.
Bakshy, E.*, Eckles, D.*, Yan, R., & Rosenn, I. (2012)
Proceedings of EC 2012. ACM.

Heterogeneity in the effects of online persuasion.
Kaptein, M., & Eckles, D. (2012)
Journal of Interactive Marketing

Selected additional work

Spillover effects in experimental data.
Aronow, P. M.,* Eckles, D.,* Samii, C.,* Zonszein, S.* (2020)
To appear in: Advances in Experimental Political Science. Ed. Druckman, J. N., & Green, D. A.

A dataset of fact-checked images shared on WhatsApp during the Brazilian and Indian elections.
Reis, J., Melo, P. D. F., Garimella, K., Almeida, J. M., Eckles, D., & Benevenuto, F. (2020)
Proceedings of ICWSM (Dataset paper). AAAI.

Bootstrap Thompson sampling and sequential decision problems in the behavioral sciences.
Eckles, D.,* & Kaptein, M.* (2019)
Sage Open. SMaPP Global Special Collection. Ed. Tucker, J. A., & Barberá, P.

Enhancing and accelerating social science via automation: Challenges and opportunities.
Yarkoni, T., Eckles, D., Heathers, J., Levenstein, M., Smaldino, P., & Lane, J. I. (2019)
Report resulting from the DARPA/OSF Technical Exchange on Complex Social Systems.

Randomized experiments to detect and estimate social influence.
Taylor, S. J., & Eckles, D. (2018)
In: Complex Spreading Phenomena in Social Systems. Ed. Lehmann, S., & Ahn, Y. Y.

Field studies of psychologically targeted ads face threats to internal validity (Comment on Matz et al. 2017).
Eckles, D.,* Gordon, B.R.,* & Johnson, G.A.* (2018)
Proceedings of the National Academy of Sciences (preprint pdf, code)

Discussion of “Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease”.
Eckles, D.,* & Kaptein, M.* (2018)
Journal of the Royal Statistical Society: Series C (Applied Statistics) (comment only)

Thompson sampling with the online bootstrap.
Eckles, D.,* & Kaptein, M.* (2014)
Technical report.

Selecting effective means to any end: Futures and ethics of persuasion profiling.
Kaptein, M., & Eckles, D. (2010)
Proceedings of Persuasive Technology 2010. Lecture Notes in Computer Science. Springer.

Social responses in mobile messaging: Influence strategies, self-disclosure, and source orientation.
Eckles, D., Wightman, D., Carlson, C., Thamrongrattanarit, A., Bastea-Forte, M. & Fogg, B. J. (2009)
Proceedings of CHI 2009. ACM.

The behavior chain for online participation: How successful web services structure persuasion.
Fogg, B. J., & Eckles, D. (2007)
Proceedings of Persuasive Technology 2007. Lecture Notes in Computer Science. Springer.

Over-exposed? Privacy patterns and considerations in online and mobile photo sharing.
Ahern, S.,* Eckles, D.,* Good, N.,* King, S.,* Naaman, M.,* & Nair, R.* (2007)
Proceedings of CHI 2007. ACM.

Mobile Persuasion: 20 Perspectives on the Future of Behavior Change.
Fogg, B. J., & Eckles, D., editors. (2007)

ZoneTag: Designing context-aware mobile media capture to increase participation.
Ahern, S.,* Davis, M.,* Eckles, D.,* King, S.,* Naaman, M.,* Nair, R.,* Spasojevic, M.,* & Yang, J.* (2006)
Workshop on Pervasive Image Capture and Sharing (PICS 2006), Adjunct Proceedings of Ubicomp 2006.

* — Equal contribution or all authors in alphabetical order.