OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data. - Vibhu Bhatia; Vidya Prasad Akavoor; Sejin Paik; Lei Guo 017; Mona Jalal; Alyssa Hasegawa Smith; David Assefa Tofu; Edward Edberg Halim; Yimeng Sun; Margrit Betke; Prakash Ishwar; Derry Tanti Wijaya (EMNLP (Demos), 2021)

Prediction of People's Emotional Response towards Multi-modal News. - Ge Gao; Sejin Paik; Carley Reardon; Yanling Zhao; Lei Guo 017; Prakash Ishwar; Margrit Betke; Derry Tanti Wijaya (AACL/IJCNLP (1), 2022)

BU-NEmo: an Affective Dataset of Gun Violence News. - Carley Reardon; Sejin Paik; Ge Gao; Meet Parekh; Yanling Zhao; Lei Guo 017; Margrit Betke; Derry Tanti Wijaya (LREC, 2022)

On Measuring Social Biases in Prompt-Based Multi-Task Learning. - Afra Feyza Akyürek; Sejin Paik; Muhammed Yusuf Kocyigit; Seda Akbiyik; Serife Leman Runyun; Derry Wijaya (NAACL-HLT (Findings), 2022)

Challenges in Measuring Bias via Open-Ended Language Generation. - Afra Feyza Akyürek; Muhammed Yusuf Kocyigit; Sejin Paik; Derry Wijaya (CoRR, 2022)

The Affective Nature of AI-Generated News Images: Impact on Visual Journalism. - Sejin Paik; Sarah Bonna; Ekaterina Novozhilova; Ge Gao; Jongin Kim; Derry Wijaya; Margrit Betke (ACII, 2023)

Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation. - Ge Gao; Jongin Kim; Sejin Paik; Ekaterina Novozhilova; Yi Liu; Sarah T. Bonna; Margrit Betke; Derry Tanti Wijaya (LREC/COLING, 2024)

DebiasPI: Inference-Time Debiasing by Prompt Iteration of a Text-to-Image Generative Model. - Sarah Bonna; Yu-Cheng Huang; Ekaterina Novozhilova; Sejin Paik; Zhengyang Shan; Michelle Yilin Feng; Ge Gao; Yonish Tayal; Rushil Kulkarni; Jialin Yu; Nupur Divekar; Deepti Ghadiyaram; et al. (ECCV Workshops (21), 2024)

PRISM: Personalizing Reporting With Intelligent Summarization Through Multiple Frames. - Kyohoon Jin; Sejin Paik; Jungmin Yun; Soojin Jang; Youngbin Kim (IEEE Access, 2024)

More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. - Ekaterina Novozhilova; Kate K. Mays; Sejin Paik; James E. Katz (Mach. Learn. Knowl. Extr., 2024)

Reply to Damaševičius, R. Comment on "Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342-366". - Ekaterina Novozhilova; Kate K. Mays; Sejin Paik; James E. Katz (Mach. Learn. Knowl. Extr., 2024)

Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024. - Nuria Alina Chandra; Ryan Murtfeldt; Lin Qiu; Arnab Karmakar; Hannah Lee; Emmanuel Tanumihardja; Kevin Farhat; Ben Caffee; Sejin Paik; Changyeon Lee; Jongwook Choi; Aerin Kim; et al. (CoRR, 2025)

Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life. - Sejin Paik; Ekaterina Novozhilova; Kate K. Mays; James E. Katz (Discov. Artif. Intell., 2025)