• S. Nishal and N. Diakopoulos. From Crowd Ratings to Predictive Models of Newsworthiness to Support Science Journalism. Proceedings of the ACM (PACM): Human-Computer Interaction (CSCW). 2022.
  • N. Helberger and N. Diakopoulos. The European AI Act and How it Matters for Research into AI in Media and Journalism. Digital Journalism. 2022. [PDF]
  • J. Barnett and N. Diakopoulos. Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making. Proceedings of the Conference on AI, Ethics, and Society (AIES). August, 2022. [PDF]
  • D Liu, P. Nanayakkara, S. Sakha, G. Abuhamad, S. L Blodgett, N. Diakopoulos, J. Hullman, T. Eliassi-Rad. Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. Proceedings of the Conference on AI, Ethics, and Society (AIES). August, 2022. [PDF]
  • G. Lee, J. Sinchai, D. Trielli, N. Diakopoulos. Cataloging Algorithmic Decision Making in the U.S. Government. Proc. Computation + Journalism Symposium. June, 2022. [PDF]
  • N. Diakopoulos, J. Bandy. H. Dambanemuya. Auditing Human-Machine Communication Systems Using Simulated Humans. Sage Handbook of Human-Machine Communication, Eds. Andrea L. Guzman, Rhonda McEwen, and Steve Jones, 2022. [PDF]
  • J. Bandy and N. Diakopoulos. All the News that’s Fit to Tweet: Sociotechnical Local News Distribution from the New York Times to Twitter. News Quality in the Platform Era. Eds. Phil Napoli and Regina Lawrence. Routledge. 2022. [PDF]
  • N. Diakopoulos. Predictive Journalism: On the Role of Computational Prospection in News Media. Tow Center for Digital Journalism. 2022. [Link | PDF]
  • C. Colglazier and N. Diakopoulos. Predictive Models in News Coverage of the COVID-19 Pandemic in the U.S.. International Communication Association (ICA) Conference. 2022.
  • D. Trielli and N. Diakopoulos. Algorithmic Agenda Setting: The Shape of Search Media During the 2020 US Election. #ISOJ Journal. 2022. (Top Paper Award) [Link]


  • C. Trattner, D. Jannach, E. Motta, I. Costera Meijer, N. Diakopoulos, M. Elahi, A. Opdahl, B. Tessem, N. Borch, M. Fjeld, L. Øvrelid, K. De Smedt, H. Moe. Responsible Media Technology and AI: Challenges and Research Directions. AI and Ethics. 2021. [Link]
  • N. Hagar, N. Diakopoulos, B. DeWilde. Anticipating Attention: On the Predictability of News Headline Tests. Digital Journalism. 2021. [PDF]
  • Y. Wang and N. Diakopoulos. Highlighting High-Quality Content as a Moderation Strategy: The Role of New York Times Picks in Comment Quality and Engagement. ACM Transactions on Social Computing. 2021.
  • J. Bandy and N. Diakopoulos. Curating Quality?: How Twitter’s Timeline Algorithm Treats Different Types of News. Social Media + Society. 2021. [Link]
  • N. Diakopoulos, D. Trielli, and G. Lee. Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools. Proceedings of the ACM (PACM): Human-Computer Interaction (CSCW). 2021. (Impact Recognition) [PDF]
  • P. Nanayakkara, J. Hullman, and N. Diakopoulos. Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. Proceedings of the Conference on AI, Ethics, and Society (AIES). 2021. [PDF]
  • J. Bandy and N. Diakopoulos. More Accounts, Fewer Links: How Algorithmic Curation Impacts Media Exposure in Twitter Timelines. Proceedings of the ACM (PACM): Human-Computer Interaction (CSCW). 2021. [PDF]
  • H. Dambanemuya and N. Diakopoulos. Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant. Proceedings of the ACM (PACM): Human-Computer Interaction (CSCW). 2021. [PDF]
  • Y. Wang and N. Diakopoulos. Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content. Proc. Human Factors in Computing Systems (CHI). 2021. [PDF]
  • D. Johnson and N. Diakopoulos. What To Do About Deepfakes. Communications of the ACM. Feb, 2021. [PDF]
  • Y. Wang and N. Diakopoulos. The Role of New York Times Picks in Comment Quality and Engagement. HICSS Track on Mediated Conversation. Jan, 2021. [Link]


  • P. Nanayakkara, N. Diakopoulos, J. Hullman. Anticipatory Ethics and the Role of Uncertainty. Workshop on Navigating the Broader Impacts of AI Research @ NeurIPS. December, 2020. {Link}
  • D. Gómez Zará and N. Diakopoulos. Characterizing Communication Patterns between Audiences and Newsbots. Digital Journalism. 2020. [Link]
  • J. Bandy and N. Diakopoulos. #TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok. FAccTRec Workshop on Responsible Recommendation. September, 2020. {Link}
  • N. Diakopoulos. Artificial Intelligence and Journalism. The Encyclopedia of Journalism 2nd Edition. Sage. 2020.
  • C. Peterson-Salahuddin and N. Diakopoulos Negotiated Autonomy: The Role of Social Media Algorithms in Editorial Decision Making. Media and Communication. 2020 {PDF}
  • N. Diakopoulos and D. Johnson Anticipating and Addressing the Ethical Implications of Deepfakes in the Context of Elections. New Media & Society. 2020. [Preprint | Link]
  • J. Bandy and N. Diakopoulos. Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News. Proc. International Conference on Web and Social Media (ICWSM). June, 2020. [PDF
  • D. Trielli and N. Diakopoulos Partisan Search Behavior and Google Results in the 2018 U.S. Midterm Elections. Information, Communication and Society. May, 2020. [Link]
  • N. Diakopoulos. Transparency. Oxford Handbook of Ethics and AI. Eds. Markus Dubber, Frank Pasquale, Sunit Das. March, 2020. 
  • N. Diakopoulos. Computational News Discovery: Towards Design Considerations for Editorial Orientation Algorithms in Journalism. Digital Journalism. March, 2020. [PDF]
  • N. Diakopoulos, M. Dong, L. Bronner, and J. Bowers. Generating Location-Based News Leads for National Politics Reporting. Proc. Computation + Journalism Symposium. March, 2020 [PDF]
  • D. Trielli and N. Diakopoulos. How Journalists Can Systematically Critique Algorithms. Proc. Computation + Journalism Symposium. March, 2020 [PDF]
  • Y. Wang and N. Diakopoulos. Readers’ Perceptions of Personalized News Articles. Proc. Computation + Journalism Symposium. March, 2020 [PDF]
  • H. Dambanemuya and N. Diakopoulos. “Alexa, what is going on with the impeachment?” Evaluating smart speakers for news quality. Proc. Computation + Journalism Symposium. March, 2020 [PDF]
  • N. Hagar, J. Bandy, D. Trielli, Y. Wang, and N. Diakopoulos. Defining Local News: A Computational Approach. Proc. Computation + Journalism Symposium. March, 2020 [PDF]


  • N. Diakopoulos. Towards a Design Orientation on Algorithms and Automation in News Production. Digital Journalism. November, 2019 [Link]
  • M. Díaz and N. Diakopoulos. Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience. Proceedings of the ACM (PACM): Human-Computer Interaction: Volume 3, Issue CSCW. November, 2019 [PDF]
  • N. Diakopoulos. Automating the News: How Algorithms are Rewriting the Media. Harvard University Press. June, 2019. [Link]
  • D. Trielli and N. Diakopoulos. Search as News Curator: The Role of Google in Shaping Attention to News Information. Proc. Conference on Human Factors in Computing Systems (CHI). May, 2019. (Best Paper Honorable Mention) [PDF]
  • C-G Lindén, H. Tuulonen, A. Bäck, N. Diakopoulos, M. Granroth-Wilding, L. Haapanen, L. Leppänen, M. Melin, T. Moring, M. Munezero, S. Sirén-Heikel, C. Södergård, H. Toivonen. News Automation: the rewards, risks and realities of ‘machine journalism’. WAN IFRA Report. March, 2019. [Link]
  • N. Hagar and N. Diakopoulos. Optimizing Content with A/B Headline Testing: Changing Newsroom Practices. Media and Communication. 7 (1), 2019. [PDF]
  • J. Bandy and N. Diakopoulos. Getting to the Core of Algorithmic News Aggregators: Applying a Crowdsourced Audit to The Trending Stories Section of Apple News. Computation + Journalism Symposium. February, 2019. [PDF]


  • N. Diakopoulos. The Algorithms Beat. Data Journalism Handbook. Eds. Liliana Bornegru and Jonathan Gray. 2018. [Link]
  • M. Koliska and N. Diakopoulos. Disclose, Decode and Demystify: An Empirical Guide to Algorithmic Transparency. The Routledge Handbook of Developments in Digital Journalism Studies. Eds. Scott Eldridge II and Bob Franklin. October, 2018.
  • N. Diakopoulos, D. Trielli, J. Stark, S. Mussenden. I vote for – How search informs our choice of candidate. In: Digital Dominance: The Power of Google, Amazon, Facebook, and Apple. Eds. M. Moore and D. Tambini. June, 2018. Open Access [PDF]
  • Data-Driven Storytelling. Eds. N. Riche, C. Hurter, N. Diakopoulos, S. Carpendale. A.K. Peters / CRC Press. March, 2018. Amazon
  • N. Diakopoulos. Ethics in Data-Driven Visual Storytelling. Data-Driven Storytelling. Eds. N. Riche, C. Hurter, N. Diakopoulos, S. Carpendale. A.K. Peters / CRC Press. March, 2018.
  • S. Drucker, S. Huron, R. Kosara, J. Schwabish, and N. Diakopoulos. Communicating Data to an Audience. Data-Driven Storytelling. Eds. N. Riche, C. Hurter, N. Diakopoulos, S. Carpendale. A.K. Peters / CRC Press. March, 2018.


  • D. Trielli, J. Stark and N. Diakopoulos. Algorithm Tips: A Resource for Algorithmic Accountability in Government. Computation + Journalism Symposium. October, 2017. [PDF][Link]
  • D. Park, S. Kim, J. Lee, J. Choo, N. Diakopoulos. N. Elmqvist. ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding. Transactions on Visualization and Computer Graphics (TVCG). October, 2017. [PDF Pre-print]