Gilbert, S., Shilton, K., & Vitak, J. (2023). When research is the context: Cross-platform user expectations for social media data reuse. Big Data & Society, 10(1). https://doi.org/10.1177/20539517231164108

Tahaei, M., Constantinides, M., Quercia, D., Kennedy, S., Muller, M., Stumpf, S., Liao, Q.V., Baeza-Yates, R., Aroyo, L., Holbrook, J., Luger, E., Madaio, M., Blumenfeld, I.G., De-Arteaga, M., Vitak, J., & Olteanu, A. (2023). Human-centered responsible artificial intelligence: Current & future trends. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23), 4 pages. New York: ACM. https://doi.org/10.1145/3544549.3583178


Pater, J., Fiesler, C., and Zimmer, M. (2022). No Humans Here: Ethical Speculation on Public Data, Unintended Consequences, and the Limits of Institutional Review. Proceedings of the ACM on Human-Computer Interaction, CSCW. https://doi.org/10.1145/3492857

Fiesler, C. Frauenberger, C., Muller, M., Vitak, J., and Zimmer, M. (2022). Research Ethics in HCI: A SIGCHI Community Discussion. ACM CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491101.3516400

A. Feder Cooper, Emanuel Moss, Benjamin Laufer, and Helen Nissenbaum. 2022. Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 864–876. https://doi.org/10.1145/3531146.3533150

Upol Ehsan, Ranjit Singh, Jacob Metcalf, and Mark Riedl. 2022. The Algorithmic Imprint. In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1305–1317. https://doi.org/10.1145/3531146.3533186


Buchanan, E.A., & Zimmer, M. (2021). Internet Research Ethics. Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/entries/ethics-internet-research/

Klassen, S., Kingsley, S., McCall, K., Weinberg, J., and Fiesler, C. (2021). More than a Modern Day Green Book: Exploring the Online Community of Black Twitter. Proceedings of the ACM on Human-Computer Interaction, CSCW (2021). https://doi.org/10.1145/3479602

Fiesler, C. Frauenberger, C., Muller, M., Vitak, J., and Zimmer, M. Research Ethics in HCI: A SIGCHI Community Discussion. ACM CHI Conference on Human Factors in Computing Systems. 2022.


Fiesler, C., Zimmer, M., Barocas, S., Chaintreau, A., & Smith, J. (2021). A Crash Course in Motivating, Supporting, and Expanding Ethical Thinking in the Tech Classroom. Presented at ACM Conference on Fairness, Accountability, and Transparency (FAccT). Virtual.


Fiesler, C., Zimmer, M., Kinder-Kurlanda, K., Metcalf, J., Moss, E., & Shilton, K. (2021). Engaging the Ethics of “Public” Data in Social Media Research. Presented at International Conference on Web and Social Media (ICWSM). Virtual.


Gilbert, S. A., Vitak, J., & Shilton, K. (2021). Measuring Americans’ Comfort with Research Uses of Their Social Media Data. Social Media + Society

Proferes, N., Jones, N., Gilbert., S., Fiesler, C., Zimmer, Z. (2021). Studying Reddit: A Systematic Overview of Disciplines, Approaches, Methods, and Ethics. Social Media + Society, 7(2). https://doi.org/10.1177/20563051211019004   


Shilton, K. (2021, April). Practicing (whose?) values: requirements engineering as a catalyst for technology justice. Presented at the 27th International Working Conference on Requirement Engineering: Foundation for Software Quality. Virtual. 


Shilton, K. (2021, July). Levers for Ethics in Technology Design. Presented at IDC Design Seminar Series , Singapore University of Technology & Design-Massachusetts Institute of Technology International Design Center. Virtual.


Shilton, K. (2021, July). Pervasive Data, Elusive Trust: Rethinking Data Ethics for Researchers. Presented at the Center for Statistical Training and Consulting, Michigan State University. Virtual. 


Zimmer, M. (2021, April). So You Want to Be a Tech Ethicist (No Scrubs edition). Presented at MozFest. Virtual. 


Zimmer, M. (2021, April). The Challenge of Training in Big Data Ethics: Why is it Hard? Presented at Expanding Graduate Training in RCR: Big Data Ethics, University of Maryland. Virtual. 




Anderson, B., & O’Brien, M. (2020, December 6). Despite promise, few in US adopting COVID-19 exposure apps. Associated Press (AP). Available: https://apnews.com/article/us-news-smartphones-coronavirus-pandemic-district-of-columbia-20aa29d9d018597e2e464128b529e928


Dodson, P. C. (2020, June 24). On K-Pop Fans, Political Activism, and the Necessity of Nuance. Teen Vogue. https://www.teenvogue.com/story/k-pop-fans-political-activism-necessity-of-nuance 


Dym, B. &  Fiesler, C. (2020). Ethical and Privacy Considerations for Research Using Online Fandom Data” In “Fan Studies Methodologies,” edited by Julia E. Largent, Milena Popova, and Elise Vist, Transformative Works and Cultures, 33. https://doi.org/10.3983/twc.2020.1733.


Fiesler, C. (2020). Being “Public” While Vulnerable: Recommendations for Platforms and Researchers. Workshop on Privacy and Power: Acknowledging the Importance of Privacy Research and Design for Vulnerable Populations at CHI 2020.


Fiesler, C., Beard, N., & Keegan, B. C. (2020). No Robots, Spiders, or Scrapers: Legal and Ethical Regulation of Data Collection Methods in Social Media Terms of Service. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 187-196. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/7290 


Goddard, S. and Fiesler, C. (2020). Exploring Racial Diversity and Researcher Positionality in Ethical HCI Research. Workshop on Engaging Race in HCI at CHI 2020.


Hallinan, B., Brubaker, J. R., & Fiesler, C. (2020). Unexpected Expectations: Public Reactions to the Facebook Emotional Contagion Study. New Media & Society, 22(6). https://doi.org/10.1177/1461444819876944 


Hargittai, E., Redmiles, E., Vitak, J., & Zimmer, M. (2020). Americans’ willingness to adopt a COVID-19 tracking app: The role of app distributor. First Monday, 25(11). https://doi.org/10.5210/fm.v25i11.11095 


Kaeser-Chen, C.,  Dubois, E., Schüür, F., & Moss, E. (2020, January 27). Positionality-aware machine learning: translation tutorial. Presented at ACM FAccT Conference. Barcelona, Spain.


Keyes, O., Austin, J., & Zimmer, M. (2020). Autobiography of An Audit: Tracing the Roots and Repercussions of the HRT-Transgender Database. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2020i0.11249 


Liao, Y., Mols, A., Vitak, J., Zimmer, M., Trottier, D., Kumar, P., & Pridmore, J. (2020, May). When does data collection and use become a matter of concern? A cross cultural comparison of American and Dutch people’s privacy attitudes. Paper presented at the 70th Annual International Communication Association (ICA) Conference, Gold Coast, Australia. 


Lin, J., Milligan, I., Oard, D. W., Ruest, N., & Shilton, K. (2020, March 14). We could, but should we? Ethical considerations for providing access to GeoCities and other historical digital collections. CHIIR ’20: Proceedings of the 2020 Conference on Human Information Interaction & Retrieval. CHIIR ’20: 2020 Conference on Human Information Interaction & Retrieval, Vancouver, BC.


Maher, S. (2020, December 10). Contact Tracing Apps See Mixed Success In The Mountain West. The Mountain West News Bureau. Available: https://www.wyomingpublicmedia.org/post/contact-tracing-apps-see-mixed-success-mountain-west#stream/0 


Mohr, D. C., Shilton, K., & Hotopf, M. (2020). Digital phenotyping, behavioral sensing, or personal sensing: Names and transparency in the digital age. Npj Digital Medicine, 3(1), 1–2. https://doi.org/10.1038/s41746-020-0251-5

Moss, E. (2020, July 6). Tech companies should make it someone’s job to think about ethics. Interview for NPR Marketplace Tech. 


Moss, E. & Metcalf, J. (2020, April 29). Too Big a Word: What Does It Mean to Do “Ethics” in the Technology Industry? Data & Society Points Blog. https://points.datasociety.net/too-big-a-word-13e66e62a5bf 


Moss, E. & Metcalf, J. (2020, May 1). Owning Ethics: Organizational Responsibility and the Institutionalization of Ethics in Silicon Valley. Presented at Stanford Institute for Human-Centered Artificial Intelligence Weekly Seminar. Stanford, CA. 


Moss, E. & Metcalf, J. (2020, September 23). Ethics Owners: A New Model of Organizational Responsibility in Data-Driven Technology Companies. Data & Society. https://datasociety.net/library/ethics-owners/ 


Moss, E. & Metcalf, J. (2020, October 9). High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. Patterns. https://doi.org/10.1016/j.patter.2020.100102 


Moss, E., Watkins, E. A., Metcalf, J., & Elish, M.C. (2020, May 28). Governing with Algorithmic Impact Assessments: Six Observations. SSRN. 


Mueller, M., Aragon, C., Guha, S., Kogan, M., Neff, G., Seidelin, C., Shilton, K., Tanweer, A., (2020, October). Interrogating Data Science. Presented at CSCW 2020, ACM. Virtual. 


Pater, J., Gilbert, S., Nobles, A., Zimmer, M., and Fiesler, C. (2020). Data is people: New challenges and tensions in social media research. In the AAAI International Conference on Web and Social Media (ICWSM). Atlanta, GA.


Salganik, M. J. et al. (2020). Measuring the predictability of life outcomes with a scientific mass collaboration. PNAS, 117(15). https://doi.org/10.1073/pnas.1915006117 


Shilton, K., Heidenblad, D., Porter, A., Winter, S., & Kendig, M. (2020). Role-Playing Computer Ethics: Designing and Evaluating the Privacy by Design Simulation. Science and Engineering Ethics, 26(6), 2911–2926. https://doi.org/10.1007/s11948-020-00250-0 


Shilton, K. (2020, February 18). Pervasive Data, Elusive Trust?: A Social Informatics Perspective. Presented at AAAS. Washington DC. 


Shilton, K. (2020, September). Privacy and Ethics in a World of Volunteered Data. Presented at Federal Interagency Conference on Big Data and Social Science. Virtual.


Sloane, M., Moss, E., Awomolo, O., & Forlano, L. (2020, July 18). Participation is not a Design Fix for Machine Learning. Presented at ICML PAML Workshop. Vienna, Austria. 


VanDerBill, B. (2020, June 9). Ease of voice recognition technology brings great risks. Digital Privacy News. https://digitalprivacy.news/2020/06/09/ease-of-voice-recognition-technology-brings-great-privacy-risks/ 


Vitak, J., & Shilton, K. (2020). Trust, privacy and security, and accessibility considerations when conducting mobile technologies research with older adults [Report prepared for the Steering Committee for Mobile Technology for Adaptive Aging]. National Academies of Sciences, Engineering and Medicine.


Vitak, J., Kumar, P., Liao, Y., & Zimmer, M. (2020, May). Feature creep or just plain creepy? How advances in “smart” technologies affect attitudes toward data privacy. Paper presented at the 70th Annual International Communication Association (ICA) Conference, Gold Coast, Australia. 


Vitak, J. & Zimmer, M. (2020). More than just privacy: Using contextual integrity to evaluate the long-term risks from COVID-19 surveillance technologies. Social Media and Society.¬ https://doi.org/10.1177/2056305120948250 


Wang, A., Narayanan, A., & Russakovsky, O. (2020). REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. European Conference on Computer Vision. 


Wong, R., Boyd, K., Metcalf, J., Shilton, K. (2020, October). Beyond Checklist Approaches to Ethics in Design. Presented at CSCW 2020, ACM. Virtual. 


Wu, P., Vitak, J., & Zimmer, M. (2020). A contextual approach to information privacy research. JASIST, 71, 485-490. http://dx.doi.org/10.1002/asi.24232 


Zimmer, M. (2020, March 4). Creating and Managing Big Data in 21st Century Research: Ethical Issues. Presented at the Annual Research Ethics Day Conference, University of Minnesota. Minneapolis, MN. 


Zimmer, M. (2020, September). 5th Annual Marquette Ethics of Big Data Symposium. Milwaukee, WI. 


Zimmer, M. (2020, November). Algorithmic Bias: Sources and Responses. Presented at Technology Ethics Center, University of Notre Dame. South Bend, IN. 


Zimmer, M. & Chapman, E. (2020). Ethical Review Boards and Pervasive Data Research: Gaps and Opportunities. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2020i0.11369 




Bietz, M. (2019, September 7). Visualization for Infrastructural Inversion. Presented at 4S 2019. New Orleans, LA. 


Bietz, M., Metcalf, J., Shilton, K., Vitak, J., & Zimmer, M. (2019, April 2). The Pervasive Data Ethics Festivus! Presented at iConference 2019. College Park, MD. 


Caplan-Bricker, N. (2019, March 11). The challenge of preserving the historical record of #MeToo. The New Yorker. https://www.newyorker.com/tech/annals-of-technology/the-challenge-of-preserving-the-historical-record-of-metoo?fbclid=IwAR2UlgqhROa3Wz-S-HaBtLDs730p3T7EtbDafn6R9hebUnw7SSbdtTZvkNA 


Fiesler, C. (2019, February 27). Data is people: ethical considerations in data collection and use. Invited talk. Center for Values in Medicine. https://www.utdallas.edu/ah/events/detail.html?id=1220446282 


Fiesler, C. (2019, March 19). Scientists Like Me Are Studying Your Tweets—Are You OK With That? How We Get to Next. https://howwegettonext.com/scientists-like-me-are-studying-your-tweets-are-you-ok-with-that-c2cfdfebf135 


Fiesler, C. (2019, May 29). Data is people: ethical considerations in data collection and use. Invited talk. eScience Institute, University of Washington. Seattle, WA. https://escience.washington.edu/data-science-seminar-fiesler/ 


Fiesler, C. (2019, September 18). Three Lessons for Ethical Tech: Research Ethics, Ethics Education, and Broadening Participation in Computing. University of Colorado Computer Science Colloquium. Boulder, CO.  


Fiesler, C. (2019, October 18). Three Lessons for Ethical Tech: Research Ethics, Ethics Education, and Broadening Participation in Computing. Stanford University HCI Seminar Series. Palo Alto, CA.


Fiesler, C. (2019, November 16). Can I Use That?! Ethics, Law, and Norms for Other People’s Data. Invited talk. Carnegie Mellon HCI Institute. https://hcii.cmu.edu/news/seminar/event/2018/11/can-i-use-ethics-law-and-norms-other-peoples-data 


Fiesler, C. (2019, December). Ethical Considerations for Research Involving (Speculative) Public Data. Proceedings of the ACM on Human-Computer Interaction, 3(249), pp. 1–13 https://doi.org/10.1145/3370271 


Fussell, S. (2019, June 27). You No Longer Own Your Face. The Atlantic. https://www.theatlantic.com/technology/archive/2019/06/universities-record-students-campuses-research/592537/ 


Garrett, N. & Fiesler, C. (2019, May 27). What do we talk about when we talk about tech ethics? Computer Ethics–Philosophical Enquiry (CEPE). Norfolk, VA. https://sites.wp.odu.edu/cepe2019/ 


Gelardi, L. (2019, January 22). Facebook aging challenge got us thinking about how to clear history on social media. ABC News 7 (TV). https://www.thedenverchannel.com/news/local-news/facebook-aging-challenge-got-us-thinking-about-how-to-clear-history-on-social-media 


Hu, J. C. (2019, June 3). Should researchers be allowed to use YouTube videos and tweets? Slate. https://slate.com/technology/2019/06/youtube-twitter-irb-human-subjects-research-social-media-mining.html   


Hu, J. C. (2019, July 17). Say hello to dog facial recognition technology. Slate. 


Hu, J. C. (2019, October 25). How well does the Pixel 4’s voice recognition work? Slate. 



Jones, N. (2019, February 21). Maryland bill seeks to prohibit using DNA databases to solve crime. Associated Press. 


Kim, M. (2019, October 12). We asked the experts: Do Alexa’s new privacy tools go far enough? The Ambient. 



Kinder-Kurlanda, K. & Zimmer, M. (2019, June 20). Web Research Ethics: Confidentiality, Consent, Data Integrity & More. Presented at WebSci 2019. Boston, MA. 


Lazar, J., Kushalnagar, R. S., Fiesler, C., & Giannoumis, G. A. (2019, May). Introduction to Legal Issues in Human-Computer Interaction. CHI EA ’19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, C21, pp. 1-5. https://doi.org/10.1145/3290607.3298818 


Liao, Y., Vitak, J., Kumar, P., Zimmer, M., & Kritikos, K. (2019). Understanding the role of privacy and trust in intelligent personal assistant adoption. Proceedings of the 13th Annual iConference, Lecture Notes in Computer Science, volume 11420 (pp. 102-113). https://doi.org/10.1007/978-3-030-15742-5_9 


Metcalf, J. (2019, January 17). WiseTalk with Sue Bethanis and guest Jake Metcalf. http://ethicalresolve.com/listen-to-wisetalk-with-sue-bethanis-and-guest-jake-metcalf/ 


Metcalf, J. (2019, February 19). Translation Tutorial: Engineering for Fairness: How a Firm Conceptual Distinction between Unfairness and Bias Makes it Easier to Address Un/Fairness In Proceedings of Machine Learning Research. ACM FAT* Conference. New York, NY.



Metcalf, J. (2019, March 5). Unexpected Forms of Risk in Data/AI Research. Office of Human Research Protections, Privacy & Health Research in a Data-Driven World: 2019 OHRP Exploratory Workshop. https://www.hhs.gov/ohrp/education-and-outreach/exploratory-workshop/2019-workshop/index.html


Metcalf, J., Moss, E., &  boyd, d. (2019). Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics. Social Research: An International Quarterly, 86(2), pp. 449-476. muse.jhu.edu/article/732185   


Metcalf, J & Moss, E. (2019, October 3). Assessing Algorithmic Impacts. Presented at REAL ML. Berlin, Germany. 


Moss, E. (2019, September 2). Becoming FAT: The Formation of Algorithmic Fairness, Accountability, and Transparency. Presented at 4S. New Orleans, LA. 


Moss, E. & Metcalf, J. (2019, November 14). The Ethical Dilemma at the Heart of Big Tech Companies. Harvard Business Review.  https://hbr.org/2019/11/the-ethical-dilemma-at-the-heart-of-big-tech-companies 


Moss, E. & Metcalf, J. (2019, December 13). Minding the Gap: Between Fairness and Ethics. Presented at NeurIPS. Vancouver, BC.


Moss E. & Schuur, F. (2019, November 9). Tutorial: Ethics in Data-Driven Industries. Presented at EPIC Conference. Providence, RI


Munteanu, C., Bruckman, A., Muller, M., Frauenberger, C., Fiesler, C., Kraut, R. E., Shilton, K., & Waycott, J. (2019). SIGCHI Research Ethics Town Hall. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1–6. https://doi.org/10.1145/3290607.3311742 


Muralikumar, M. D., & Bietz, M. J. (2019, November). Visualizing Algorithmic Selection in Social Media. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing, pp. 319-323. 


Narayanan, A. (2019). How to recognize AI Snake oil. Presented at the Arthur Miller Lecture on Science and Ethics, MIT STS. Cambridge, MA. 


Nicholas, J., Shilton, K., Schueller, S. M., Gray, E. L., Kwasny, M. J., & Mohr, D. C. (2019). The Role of Data Type and Recipient in Individuals’ Perspectives on Sharing Passively Collected Smartphone Data for Mental Health: Cross-Sectional Questionnaire Study. JMIR MHealth and UHealth, 7(4), e12578. https://doi.org/10.2196/12578 


Reuter, K., Zhu, Y., Angyan, P., Le, N., Merchant, A., & Zimmer, M. (2019, October). Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study. Journal of Medical Internet Research, 21(10). doi:10.2196/15455  


Shilton, K. (2019, May). Challenges where Standards Design Meets Human Rights. Presented at the Symposium on Designing an Ethical Web, The Web Conference (WWW). San Francisco, CA.


Shilton, K. (2019, November 17). (Re)Building Trust in Pervasive Data Research. Presented at PRIM&R’s 2019 Social, Behavioral, and Educational Research Conference. New Orleans, LA. 


Snyder, J., & Shilton, K. (2019). Spanning the Boundaries of Data Visualization Work: An Exploration of Functional Affordances and Disciplinary Values. Proceedings of the 2019 iConference. College Park, MD: IEEE.


Soden, R., Skirpan, M., Fiesler, C., Ashktorab, Z., Baumer, E. P. S., Blythe, M., & Jones, J. (2019, May). CHI4EVIL: Creative Speculation on the Negative Impacts of HCI Research. CHI EA ’19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, W29, pp. 1-8. https://doi.org/10.1145/3290607.3299033 


Vitak, J. (2019, March 8). Presidential Symposium: Ethics Working Group Presents: Connecting Behavioral Health, mHealth, and Social Media through Ethics, Values, and Taking Action. Washington Hilton in Washington, DC. https://www.sbm.org/UserFiles/file/am19-pro-v12.pdf 


Vitak, J. (2019, March 21). Privacy, security, and ethical challenges in the era of big data. Invited speaker. Cornell Tech, New York, NY. 


Vitak, J. (2019, May 30). Researching Pervasive Data Ethics: Taking a Collaboratory Approach. Invited speaker. Rockville, MD. 


Vitak, J. (2019, September 12). Existing Models and Inspiring New Networks-of-Networks: Lessons from interdisciplinary networks at the University of Maryland. Invited speaker. SESYNC Networks of Networks Workshop. 


Vitak, J. (2019, October 18). Pervasive data ethics: What researchers, IRBs, and end-users think about data collection and analysis practices. Seminar speaker at Computer Science Department, Virginia Tech. 


Vitak, J., Shilton, K., & Gilbert, S. (2019, July). Trends in trust: Measuring Americans’ expectations for trustworthy research use of social media data. Work in Progress paper presented the 2019 International Conference on Social Media and Society (#SMSociety), Toronto, Ontario, Canada.


Walsh, J. D. (2019, August 27). Ten years on, Foursquare is now checking in to you. Even the company is still trying to figure out whether that’s “cool or creepy.” New York Magazine. http://nymag.com/intelligencer/2019/08/ten-years-on-foursquare-is-now-checking-in-to-you.html 


Zimmer, M. (2019, May 1). Pervasive Data Ethics for Computational Research. Presented at Ethics of Big Data Symposium, Northwest Mutual Data Science Institute. Milwaukee, WI. 


Zimmer, M. (2019, May 2). Computer Experts Discuss The Balancing Act Of Big Data & Ethics. WUWM Milwaukee Public Radio. 


Zimmer, M. (2019, September 19). IRBs and Big Data Research Ethics. Presented at the OHRP Exploratory Workshop on “Privacy & Health Research in a Data-Driven World.” Bethesda, MD. 


Zimmer, M. & Moss, E. (2019, November 10). Ethical AI Starts with the Data. Presented at CSCW. Austin, TX. 




Beard, N. & Fiesler, C. (2018, September 23). 21st Century Digital Democracy Needs a New Contract. The Internet, Policy & Politics Conference 2018. Oxford, London, UK. https://blogs.oii.ox.ac.uk/policy/ipp-conference/ 


Caplan-Bricker, N. (2018, December 1). Preservation Acts: Toward an ethical archive of the web. Harper’s Magazine. https://harpers.org/archive/2018/12/preservation-acts-archiving-twitter-social-media-movements/ 


Dreyfuss, E. (2018, August 1). The Sadness of Deleting Your Old Tweets. Wired. Retrieved from https://www.wired.com/story/the-sadness-of-deleting-old-tweets/


Duong, Y. (2018, August 22). Your Twitter could help NC State study nuclear activity. What are the ethics? Raleigh News & Observer. https://www.newsobserver.com/news/local/article216834170.html 


Dym, B. & Fiesler, C. (2018, November 3-7). Vulnerable and Online: Fandom’s Case

for Stronger Privacy Norms and Tools. CSCW ’18 Companion. Jersey City, NJ. 


Etter, N. (2018, February 26). Study examines ethics of researchers using big data. UWM REPORT. http://uwm.edu/news/big-data-ethics/


Fiesler, C. (2018, March). Data is People: Ethical Considerations in Data Collection and Use. Presented at the NC State Institute for Advanced Analytics, North Carolina.


Fiesler, C. (2018, May). Ethics for Online Communities Research. Bentley University.


Fiesler, C. (2018, August). Data is People: Ethical Considerations in Data Collection and Use (speaker). Presented at the Summer Institute in Computational Social Science, Boulder Colorado. Retrieved from https://compsocialscience.github.io/summer-institute/2018/boulder/


Fieslier, C. (2018, December 5). What Our Tech Ethics Crisis Says About the State of Computer Science Education. How We Get to Next. https://howwegettonext.com/what-our-tech-ethics-crisis-says-about-the-state-of-computer-science-education-a6a5544e1da6 


Fiesler, C., Bruckman, A., Kraut, R. E., Muller, M., Munteanu, C., & Shilton, K. (2018, October). Research Ethics and Regulation: An Open Forum. CSCW ’18: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 125-128. https://doi.org/10.1145/3272973.3274543 


Fiesler, C., Hancock, J., Bruckman, A., Muller, M., Munteanu, C., & Densmore, M. (2018). Research Ethics for HCI: A Roundtable Discussion. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (p. panel05:1–panel05:5). New York, NY, USA: ACM. https://doi.org/10.1145/3170427.3186321


Fiesler, C., & Proferes, N. (2018). “Participant” Perceptions of Twitter Research Ethics. Social Media + Society, 4(1), 2056305118763366. https://doi.org/10.1177/2056305118763366


Fiesler, C., Shilton, K., Zimmer, M., & Vitak, J. (2018, June). Exploring Ethical Trade-Offs in Social Media Research. Presented at the ICWSM 2018, Stanford, California. Retrieved from https://sociotechethics.wordpress.com/icwsm-2018/


Fiesler, C., Shilton, K., Zimmer, M., & Vitak, J. (2018, June 25). Exploring Ethical Trade-Offs in Social Media Research. ICWSM 2018, Stanford, California. https://sociotechethics.wordpress.com/icwsm-2018/ 


Greengard, S. (2018, November 6). The New Face of Law Enforcement. Communications of the ACM. https://cacm.acm.org/news/232505-the-new-face-of-law-enforcement/fulltext 


Koerth-Baker, M. (2018, July 26). Your Tweets Are Somehow Worthy Of Scientific Study. FiveThirtyEight. Retrieved from https://fivethirtyeight.com/features/your-tweets-are-somehow-worthy-of-scientific-study/ 


Landgraf, G. (2018, September 4). Data Collection and Privacy: Balancing information needs with patron protection. American Libraries. https://americanlibrariesmagazine.org/2018/09/04/data-collection-privacy-learning-analytics/ 


Martin, K., & Shilton, K. (2018). Mobile privacy expectations: How privacy is respected in mobile devices. The Cambridge Handbook of Consumer Privacy, pp 85-101. https://doi.org/https://doi.org/10.1017/9781316831960.005


Narayanan, A., & Lundberg, I. (2018, August). Privacy, Ethics, and Computational Social Science: A Case Study of the Fragile Families Challenge. Presented at the American Sociological Association, Philadelphia.


Metcalf, J. (2018, August 16). Super Panel: AI & Ethics. Presented at Katapult Fest. Oslo, Norway. 


Metcalf, J. (2018, November 15). IRB Review of Big Data Research. Presented at PRIM&R AER 2018. San Diego, CA. 


Metcalf, J. (2018, November 24). Build to solve values problems, not just technical problems. Presented at 2018 Unintended Consequences of Technology (#UCOT). San Francisco, CA. 


Shilton, K. (2018). Values and Ethics in Human-Computer Interaction. Foundations and Trends® Human–Computer Interaction, 12(2), 107–171. https://doi.org/10.1561/1100000073


Shilton, K. (2018, February). Privacy & Pervasive Sensing:Frameworks for design. Presented at the UCLA Depression Grand Challenge, Los Angeles, California. Retrieved from https://grandchallenges.ucla.edu/happenings/2018/05/15/ucla-depression-grand-challenge-inaugural-symposium-a-success/


Shilton, K. (2018, March). Intervening in big data futures: Values, practices, and tools for pervasive ethics. Presented at the School of Information Colloquium, Austin, Texas. Retrieved from https://www.ischool.utexas.edu/content/colloquium-katie-shilton-university-maryland


Shilton, K. (2018, June). Intervening in big data futures: Values, practices, and tools for pervasive ethics. Presented at the CAIS, Regina, Saskatchewan. Retrieved from https://www.congress2018.ca/calendar/1314


Skirpan, M., Beard, N., Bhaduri, S., Fiesler, C., & Yeh, T. (2018). Ethics Education in Context: A Case Study of Novel Ethics Activities for the CS Classroom (pp. 940–945). ACM Press. https://doi.org/10.1145/3159450.3159573


Vitak, J. (2018, February). Privacy, security, and ethical challenges in the era of ubiquitous data collection. Presented at the Cyber-Human-Systems & Humanity-Centered Design Seminar, George Mason University.


Vitak, J. (2018, March). Where’s my data going? Privacy, security, and ethical challenges in the era of ubiquitous data collection. Presented at the MISC Talk: Jessica Vitak and D. Yvette Wohn | University of Michigan School of Information, University of Michigan School of Information. Retrieved from https://www.si.umich.edu/events/201803/misc-talk-jessica-vitak-and-d-yvette-wohn


Vitak, J. (2018, May). Ethics in Data Science Research and Education at AAAS — External Event. Presented at the Berkeley Initiative for Transparency in the Social Sciences. Retrieved from https://www.bitss.org/events/ethics-in-data-science-research-and-education-at-aaas-external-event/


Vitak, J. (2018, May). Ethics of Using Personal Data in Data Science Research and Education. Presented at the American Association for the Advancement of Science (AAAS)AAAS S&T Policy Fellow Affinity Groups, Washington DC. Retrieved from https://www.eventbrite.com/e/45419537058?aff=efbneb


Vitak, J. (2018, May). PERVADE: Pervasive Data Ethics for Computational Research. Presented at the CNSF 24th Annual Exhibition, Washington, D.C. Retrieved from https://pervade.umd.edu/2018/05/ischools-pervade-project-is-featured-exhibit-at-cnsf-event/


Williams, S. (2018, October 19). Maryland’s high court weighs texts as marital privilege. Capital News Service.


Zimmer, M. (2018). Addressing Conceptual Gaps in Big Data Research Ethics: An Application of Contextual Integrity. Social Media + Society, 4(2), 2056305118768300. https://doi.org/10.1177/2056305118768300


Zimmer, M. (2018, March 15). Privacy and Informed Consent in an Era of Big Data. National Academies of Sciences, Engineering, and Medicine’s Committee on Science, Technology, and Law (CSTL), Pasadena, CA. http://sites.nationalacademies.org/pga/stl/PGA_049555


Zimmer, M. (2018, July 25). How Contextual Integrity can help us with Research Ethics in Pervasive Data. Medium. https://medium.com/pervade-team/how-contextual-integrity-can-help-us-with-research-ethics-in-pervasive-data-ef633c974cc1#:~:text=By%20demanding%20that%20information%20collection,network%20or%20community%20under%20study


Zimmer, M. (2018, September 21). Pervasive Data Ethics for Computational Research. Presented at the Computer Science Colloquium, Marquette University. Milwaukee, WI. 


Zimmer, M., Kumar, P., Vitak, J., Liao, Y., & Kritikos, K. (2018). “There’s nothing really they can do with this information”: Unpacking how users manage privacy boundaries for personal fitness information. Information, Communication, and Society. https://doi.org/10.1080/1369118X.2018.1543442   


New Initiative Examines Ethics of Research Using ‘Pervasive’ Data. (2018, March 7). DBR ON DATA. Retrieved from http://dbrondata.com/2018/new-initiative-examines-ethics-research-using-pervasive-data/


In wake of Facebook Cambridge Analytica scandal, does the tech sector need a code of conduct? (2018, March 20). | CBC Radio. CBC. Retrieved from https://www.cbc.ca/radio/thecurrent/the-current-for-march-20-2018-1.4583785/in-wake-of-facebook-cambridge-analytica-scandal-does-the-tech-sector-need-a-code-of-conduct-1.4583912


Who might be spying on your tweets in the name of science? (2018, March 21). CU Boulder Today. Retrieved from https://www.colorado.edu/today/2018/03/21/who-might-be-spying-your-tweets-name-science


Could the next Cambridge Analytica be prevented by opening access to data? (2018, March 23). Radio National. Retrieved from http://www.abc.net.au/radionational/programs/sundayextra/cambridge-analytica/9577236



Fiesler, C. (2017, November). Bridging Industry and Academia to Tackle Responsible Research and Privacy Practices | Future of Privacy Forum. Presented at Facebook NYC, New York, N.Y., U.S.A. Retrieved from https://fpf.org/research-privacy-practices/


Gibney, E. (2017). Ethics of Internet research trigger scrutiny. Nature News, 550(7674), 16. https://doi.org/10.1038/550016a


Narayanan, A., Lundberg, I., Levy, K., & Salganik, M. (2017, October). Privacy, Ethics, and Computational Social Science: A Case Study of the Fragile Families Challenge. New York Law School.


Shilton, K. (2017, November). Open Data, Trust, and Stewardship: Universities at the Privacy Frontier. Presented at The 10th Annual BCLT Privacy Lecture, Berkeley, CA. Retrieved from https://www.law.berkeley.edu/research/bclt/past-events/past-events-2017/10th-annual-bclt-privacy-lecture/


Shilton, K. (2017, December). Ethics: lessons learned from navigating IRBs, recruitment, and privacy, hosted by leaders in social media and health research. Presented at the PRISM Health Symposium 2017.


Walz-Chojnacki, G. (2017, September 18). UW-Milwaukee School of Information Studies joins groundbreaking study on big data ethics. UWM REPORT. http://uwm.edu/news/uw-milwaukee-school-information-studies-joins-groundbreaking-study-big-data-ethics/


Wisniewski, P., Vitak, J., Page, X., Knijnenburg, B., Wang, Y., & Fiesler, C. (2017). In Whose Best Interest?: Exploring the Real, Potential, and Imagined Ethical Concerns in Privacy-Focused Agenda. In Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 377–382). New York, NY, USA: ACM. https://doi.org/10.1145/3022198.3022660


UCI part of NSF-funded study of big data ethics. (2017, September 8). UCI News. Retrieved from https://news.uci.edu/2017/09/08/uci-part-of-nsf-funded-project-to-study-big-data-ethics/


Information Science’s Casey Fiesler part of $3 million grant. (2017, September 11). College of Media, Communication and Information. Retrieved from https://www.colorado.edu/cmci/2017/09/11/information-sciences-casey-fiesler-part-3-million-grant


Scientists are analyzing your tweets and FB posts: Is it ethical? (2017, September 11). CU Boulder Today. Retrieved from https://www.colorado.edu/today/2017/09/11/scientists-are-analyzing-your-tweets-and-fb-posts-it-ethical


Researchers are studying your social media. What do you think of that? (2017, September 18). The Denver Post. Retrieved from https://www.denverpost.com/2017/09/18/cu-boulder-social-media-ethics-research/

No Date


Bietz, M. (n.d.). Data Donation as a Model for Citizen Science Health Research. Citizen Science: Theory and Practice.


Fiesler, C. (n.d.). No Robots, Spiders, or Scrapers: Legal and Ethical Regulation of Social Media Terms of Service. Research Ethics Town Hall. (2018, January). Presented at the GROUP.


Fiesler, C. (n.d.). So What’s New? Ethics vs. Expectation in Public Reaction to the Facebook Emotional Contagion Study.


Fiesler, C., & Dym, B. (n.d.). Vulnerable and Online: Fandom’s Case for Stronger Privacy Norms and Tools. Presented at the ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2018 Extended Abstracts).


Huckels, K. (n.d.). Your Tweets Can Be Used For Science – With Or Without Your Permission, CU Boulder Explains. Retrieved from 



Martin, K., Shilton, K., & Smith, J. (n.d.). Business and the ethical implications of technology. Journal of Business Ethics.


Shilton, K. (n.d.). Presenting PERVADE: Exploring data ethics for researchers and analysts | Featured Projects | Data Driven Journalism. Retrieved from http://datadrivenjournalism.net/featured_projects/presenting_pervade_exploring_data_ethics_for_researchers_and_analysts


Waters, J. P., Meredith. (n.d.). PERVADE Tackles Ethical Questions on Big Data Use. Retrieved June 30, 2018, from http://wuwm.com/post/pervade-tackles-ethical-questions-big-data-use


AI Research Is in Desperate Need of an Ethical Watchdog. (n.d.). Retrieved from https://www.wired.com/story/ai-research-is-in-desperate-need-of-an-ethical-watchdog/


At CU Boulder, teaching tech companies, researchers how to handle big data ethically. (n.d.). Retrieved from http://www.dailycamera.com/boulder-business/ci_31323749/at-cu-boulder-and-nationwide-new-project-seeks


CU Boulder study probes ethics of researchers’ use of Twitter. (n.d.). Retrieved from http://www.dailycamera.com/cu-news/ci_31750097/cu-boulder-study-probes-ethics-researchers-use-twitter


Dr. Michael Zimmer and Partner Institutions Receives NSF Grant for Groundbreaking Study on Big Data Ethics | School of Information Studies. (n.d.). Retrieved June 30, 2018, from https://uwm.edu/informationstudies/dr-michael-zimmer-and-partner-institutions-receives-nsf-grant-for-groundbreaking-study-on-big-data-ethics/ 


Doctors Swear to “Do No Harm.” Why Don’t Data Scientists? | Immodest proposal | OZY. (n.d.). Retrieved from https://www.ozy.com/immodest-proposal/doctors-swear-to-do-no-harm-why-dont-data-scientists/81226

The Ethics of AI for Suicide Prevention | EE Times. (n.d.). Retrieved from https://www.eetimes.com/author.asp?section_id=36&doc_id=1332723


Facebook may stop the data leaks, but it’s too late: Cambridge Analytica’s models live on – MIT Technology Review. (n.d.). Retrieved from https://www.technologyreview.com/s/610801/facebook-may-stop-the-data-leaks-but-its-too-late-cambridge-analyticas-models-live-on/?utm_campaign=add_this&utm_source=twitter&utm_medium=post


I-Group Data Matters Workshop. (n.d.). Retrieved from http://sites.nationalacademies.org/PGA/guirr/PGA_184431


In the News @ Donald Bren School of Information and Computer Sciences. (n.d.). Retrieved from https://www.ics.uci.edu/community/news/view_news?id=1293


Researchers use your tweets without your OK. Most users don’t know, UK study shows. (n.d.). Kentucky. Retrieved from https://www.kentucky.com/news/local/counties/fayette-county/article208740874.html


Scientists are analyzing your tweets and FB posts—is it ethical? (n.d.). Retrieved from https://phys.org/news/2017-09-scientists-tweets-fb-postsis-ethical.html