Papers
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. (2024). Making sense of AI systems development. Ieee Transactions On Software Engineering, 50(1), 123–140. https://doi.org/10.1109/TSE.2023.3338857
sensemaking_tse_to_share.pdf (619.73 KB). (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653
. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653
. (2024). Technological Frames: Interpretations about the Futures of Work and Intelligent Machines on Social Media. Information, Technology & People. https://doi.org/10.1108/ITP-01-2023-0049
frames to share.pdf (391.17 KB). (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907
. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907
. (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
Artificial Intelligence in Information Systems State of the Art.pdf (1 MB). (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
Artificial Intelligence in Information Systems State of the Art.pdf (1 MB). (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
icis_archetypes_rev1_v20_zora.pdf (433.37 KB). (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB). (2020). Algorithmic Journalism and Its Impacts on Work. In Computation + Journalism Symposium. Presented at the Computation + Journalism Symposium . Retrieved de https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf
CJ_2020_paper_26.pdf (1.24 MB). (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410. https://doi.org/10.5465/annals.2018.0174
. (2020). Are machines stealing our jobs?. Cambridge Journal Of Regions, Economy And Society, 13, 153–173. https://doi.org/10.1093/cjres/rsz025
. (2020). Artificial Intelligence and Judicial Modernization. https://doi.org/10.1007/978-981-32-9880-4
. (2020). Automation Technologies and Employment at Risk : The Case of Mexico. Banco de México.
. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks And Applications, 25, 1075–1083. https://doi.org/10.1007/s11036-020-01530-6
. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB). (2020). Feminist economic geography and the future of work. Epa: Economy And Space, 1–12. https://doi.org/10.1177/0308518X20947101
. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB). (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070
Impacts_of_ML_for_HAI_2020.pdf (453.59 KB). (2020). Learning occupational task-shares dynamics for the future of work. In AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (36–42). https://doi.org/10.1145/3375627.3375826
. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.
Everyday_automation camera ready.pdf (421.84 KB). (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users' expectations. Technological Forecasting And Social Change, 151, 119794. https://doi.org/10.1016/j.techfore.2019.119794
. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users' expectations. Technological Forecasting And Social Change, 151, 119794. https://doi.org/10.1016/j.techfore.2019.119794
. (2020). The Role of Discretion in the Age of Automation. Computer Supported Cooperative Work: Cscw: An International Journal, 29, 303–333. https://doi.org/10.1007/s10606-020-09371-3