🗞 Articles in Journals & Conference Proceedings^♠

〣 Experiments & Devices

Dambanemuya, H.K., Choi, E., Gergle, D., and Horvát, E-Á., 2025. Beyond Words: An Experimental Study of Signaling in Crowdfunding. ACM Transactions on Computer-Human Interaction (TOCHI). pdf

Fernandes, G., Wei, B., Romano, C., Ulusel, D., Dambanemuya H.K., Gao, Y., Ghaffari, R., Rogers, J., Alshurafa, N., 2024. HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch. IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN). pdf

Dambanemuya, H.K., and Diakopoulos, N., 2021. Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant. Proc. ACM Hum.-Comput. Interact., CSCW, 1(83). pdf

〣 Social Computing

Dambanemuya, H.K., Romero, D., and Horvát, E-Á., 2024. Emergent Influence Networks in Good-Faith Online Discussions. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). pdf

Dambanemuya, H.K., Wachs, J., and Horvát, E-Á., 2023. Understanding (Ir)rational Herding Online. ACM Collective Intelligence Conference. pdf

Horvát, E-Á., Dambanemuya, H.K., Uparna, J.S., and Uzzi, B., 2023. Hidden Indicators of Collective Intelligence in Crowdfunding. Proceedings of the ACM Web Conference (WebConf). pdf

Dambanemuya, H.K., and Horvát, E-Á., 2021. A Multi-Platform Study of Crowd Signals Associated with Successful Online Fundraising. Proc. ACM Hum.-Comput. Interact., CSCW, 1(115). pdf

Dambanemuya, H.K., Lin, H., and Horvát, E-Á., 2021. Characterizing Online Media on COVID-19 during the Early Months of the Pandemic. Journal of Quantitative Description: Digital Media, 1. pdf

Dambanemuya, H.K., and Horvát, E-Á., 2019. Harnessing Collective Intelligence in P2P Lending. Proceedings of the 10th ACM Conference on Web Science, pp. 57–64. pdf

〣 Digital Peacebuilding

Lamba, H., Abilov, A., Zhang, K., Olson, E.M., Dambanemuya, H.K., Barcia, J.C., Batista, D.S., Wille, C., Cahill, A., Tetreault, J.R., Jaimes, A., 2024. HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid. In Findings of the Association for Computational Linguistics: EMNLP, pp. 12705–12722. pdf

Dambanemuya, H.K., Joshi, M., and Horvát, E-Á., 2019. Network Perspective on the Efficiency of Peace Accords Implementation. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 341–348. pdf

Dambanemuya, H.K., and Horvát, E-Á., 2019. Network-Aware Multi-Agent Simulations of Herder-Farmer Conflicts. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 721–722. pdf

Nigam, A., Dambanemuya, H.K., Joshi, M., and Chawla, N.V., 2017. Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring. Big Data, 5(4), pp. 337-355. pdf

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📓 Book Chapters

Diakopoulos, N., Bandy, J., and Dambanemuya, H.K., 2023. Auditing Human-Machine Communication Systems Using Simulated Humans. The SAGE Handbook of Human-Machine Communication. Eds. Guzman, A.L., McEwen, R., and Jones, S. SAGE Publishing. Also available at SSRN.

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♠ In computer science and related fields, peer-reviewed archival conference proceedings are considered prime publication venues.