About Me

My name is Jordan (he/him) and I’m a PhD student in Human-Computer Interaction at Carnegie Mellon advised by Haiyi Zhu and Sarah Fox.

Before CMU, I graduated with a B.S. and M.S. in Computer Science from Georgia Tech, where I worked with Munmun De Choudhury in the Social Dynamics and Wellbeing Lab.

My research interests lie at the intersection of social computing, culture, and marginalized communities (particularly LGBTQ+ and fat communities).

I’m broadly interested in the social construction of knowledge by (e.g., in online communities) and about (e.g., in academia or data schemas) marginalized groups. I’m also interested in the impact of “marginalization” as a growing discourse within computing.

Research Interests: Social Computing, Science & Technology Studies, Critical Data Studies, Culture, Identity, Marginalized Communities, Feminism, Queer Theory, & Postcolonial Studies

Refereed Publications

Erin Kasson, Lindsey M. Filiatreau, Nina Kaiser, Kevin Davet, Jordan Taylor, Sanjana Garg, Mai El Sherief, Talayeh Aledavood, Munmun De Choudhury, Patricia Cavazos-Rehg. (2023). Using Social Media to Examine Themes Surrounding Fentanyl Misuse and Risk Indicators. Substance Use & Misuse.

Sanjana Garg*, Jordan Taylor*, Mai El Sherief, Erin Kasson, Talayeh Aledavood, Raven Riordan, Nina Kaiser, Patricia Cavazos-Rehg, Munmun De Choudhury. (2021). Detecting Risk Level in Individuals Misusing Fentanyl Utilizing Posts from an Online Community on Reddit. Internet Interventions. *Co-first authors.

Daejin Choi, Steven A. Sumner, Kristin M. Holland, John Draper, Sean Murphy, Daniel A. Bowen, Marissa Zwald, Jing Wang, Royal Law, Jordan Taylor, Chaitanya Konjeti, Munmun De Choudhury. (2020). Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities. JAMA Network Open.

Posters, Extended Abstracts, Workshop Papers and Technical Reports

Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler. (2023). How to Ethically Engage Fat People in HCI Research. Companion of CSCW 2023. (Best Poster Award)

Logan Stapleton, Jordan Taylor, Sarah Fox, Tongshuang Wu, Haiyi Zhu. (2023). Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses. ICML Workshop on Challenges in Deployable Generative AI.

Manuscripts and Pre-Prints

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang. (2023). LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. In ArXiv.

Magazine Articles

Jordan Taylor, Adinawa Adjagbodjou. DEI in Computing: Centering the Margins. (2022). XRDS: Crossroads, The ACM Magazine for Students 28, no. 4.

Jordan Taylor. Decoloniality in Computing: An Interview with Dipto Das. (2022). XRDS: Crossroads, The ACM Magazine for Students 28, no. 4.

Blog Posts

Challenges of Moderating the Metaverse. 2021

Press

Louisiana law requiring proof of ID for porn site access has privacy advocates worried. (2023). Marketplace Tech.

Industry Experience

Teaching Experience

CV

Updated CV (last edited October 2023)