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

Most recent and most cited publications on Google Scholar.

Working papers

Origins and consequences of long ties in social networks.
Jahani, E., Fraiberger, S., Bailey, M., Eckles, D.

Promoting engagement with social fact-checks online.
Mosleh, M., Martel, C., Eckles, D., & Rand, D. G.

Habits in consumer purchases: Evidence from store closures.
Tohidi, A., Eckles, D., & Jadbabaie, A.

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

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

Promoting physical activity through prosocial incentives on mobile platforms.
Yuan, Y., Nicolaides, C., Pentland, A., & Eckles, D.

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

Native advertising and the credibility of online publishers.
Revel, M., Tohidi, A., Eckles, D., Berinsky, A., & Jadbabaie, A.

The network structure of unequal diffusion.
Jahani, E., Eckles, D., & Pentland, A.

Rivalrous resource sharing in networks can exacerbate existing inequalities.
Jahani, E., & Eckles, D.

Privacy-induced experimentation and private causal inference.
Yao, L., Svanberg, M., Holohan, N., Arbour, A., & Eckles, D.

Algorithmic pricing and consumer sensitivity to price volatility.
Aparicio, D.,* Eckles, D.,* Kumar, M.*

Selected published and forthcoming papers

Providing normative information increases intentions to accept a COVID-19 vaccine.
(Previously titled “Surfacing norms to increase vaccine acceptance”)
Moehring, A. V., Collis, A.,* Garimella, K.,* Rahimian, M.,* Aral, S., & Eckles, D.
Forthcoming in Nature Communications.

Targeting for long-term outcomes.
Yang, J., Eckles, D., Dhillon, P., & Aral, S.
Forthcoming in Management Science.

Influence of repetition through limited recall.
Sassine, J., Rahimian, M.A., & Eckles, D. (2022)
Proceedings of ICWSM. AAAI.

Seeding with costly network information.
Eckles, D.,* Esfandiari, H.,* Mossel, E.,* & Rahimian, M.A.* (2022)
Operations Research. (preprint)

Trend alert: How a cross-platform organization manipulated Twitter trends in the Indian general election.
Jakesch, M., Garimella, K., Eckles, D., & Naaman, M. (2021)
Proceedings of the ACM: Human Computer Interaction (CSCW)

Perverse consequences of debunking in a Twitter field experiment: Being corrected for posting false news increases subsequent sharing of low quality, partisan, and toxic content.
Mosleh, M., Martel, C., Eckles, D., & Rand, D. G. (2021)
Proceedings of CHI. ACM.

Shifting attention to accuracy can reduce misinformation online.
(Previously titled “Understanding and reducing the spread of misinformation online”)
Pennycook, G.,* Epstein, Z.,* Mosleh, M.,* Arechar, A. A., Eckles, D., & Rand, D. G. (2021)
Nature. (preprint)

Evaluating stochastic seeding strategies in networks.
Chin, A.,* Eckles, D.,* & Ugander, J.* (2021)
Management Science. (preprint)

Shared partisanship dramatically increases social tie formation in a Twitter field experiment.
Mosleh, M., Martel, C., Eckles, D., & Rand, D. G. (2021)
Proceedings of the National Academy of Sciences. (preprint)

Bias and high-dimensional adjustment in observational studies of peer effects.
Eckles, D., & Bakshy, E. (2020)
Journal of the American Statistical Association. (pdf, code)

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. (2020)
Proceedings of the National Academy of Sciences. (pdf, code)

Images and misinformation in political groups: Evidence from WhatsApp in India.
Garimella, K., & Eckles, D. (2020).
Harvard Kennedy School Misinformation Review.

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

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. (appendix on Bond et al.)

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. AAAI.

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

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

Selected additional work

Algorithmic transparency and assessing effects of algorithmic ranking.
Eckles, D. (2021)
Written testimony in a hearing before the US Senate Subcommittee on Communications, Media, and Broadband. (Senate copy)

On loss functions and bias–variance trade-offs in causal estimation and decisions. (Comment on Fernandez-Loria and Provost)
Eckles, D. (2022)
INFORMS Journal on Data Science. Adapted from this post.

Global survey on COVID-19 beliefs, behaviors, and norms.
Collis, A.,* Garimella, K.,* Moehring, A.,* Rahimian, M.A.,* Babalola, S., Gobat, N., Shattuck, D., Stolow, J., Eckles, D., & Aral, S. (2020)
Nature Human Behavior
(Report on an international survey conducted with Facebook and Johns Hopkins University, with input from researchers at WHO/GOARN; preprint)

Spillover effects in experimental data.
Aronow, P. M.,* Eckles, D.,* Samii, C.,* Zonszein, S.* (2021)
Advances in Experimental Political Science. Ed. Druckman, J. N., & Green, D. A. (preprint)

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.

Enhancing and accelerating social science via automation: Challenges and opportunities.
Yarkoni, T., Eckles, D., Heathers, J., Levenstein, M., Smaldino, P., & Lane, J. I. (2021)
Harvard Data Science Review.
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. arXiv:1410.4009.
(Also see the related review paper:
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.)

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.

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