@article{mendelsohn2025people,title={When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models},author={Mendelsohn, Julia and Budak, Ceren},journal={arXiv preprint arXiv:2502.13246},year={2025},}
AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents
Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, and Maarten Sap
In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , Apr 2025
@inproceedings{su2025ai,title={{AI}-{L}ie{D}ar : Examine the Trade-off Between Utility and Truthfulness in {LLM} Agents},author={Su, Zhe and Zhou, Xuhui and Rangreji, Sanketh and Kabra, Anubha and Mendelsohn, Julia and Brahman, Faeze and Sap, Maarten},editor={Chiruzzo, Luis and Ritter, Alan and Wang, Lu},booktitle={Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},month=apr,year={2025},address={Albuquerque, New Mexico},publisher={Association for Computational Linguistics},pages={11867--11894},isbn={979-8-89176-189-6},}
2024
Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies
Julia Mendelsohn, Maya Vijan, Dallas Card, and Ceren Budak
Journal of Quantitative Description: Digital Media, Apr 2024
@article{mendelsohn2024framing,title={Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies},author={Mendelsohn, Julia and Vijan, Maya and Card, Dallas and Budak, Ceren},journal={Journal of Quantitative Description: Digital Media},volume={4},year={2024},}
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
Joshua Ashkinaze, Julia Mendelsohn, Li Qiwei, Ceren Budak, and Eric Gilbert
@article{ashkinaze2024ai,title={How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment},author={Ashkinaze, Joshua and Mendelsohn, Julia and Qiwei, Li and Budak, Ceren and Gilbert, Eric},journal={arXiv preprint arXiv:2401.13481},year={2024},}
Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways
Shubham Atreja, Joshua Ashkinaze, Lingyao Li, Julia Mendelsohn, and Libby Hemphill
@article{atreja2024prompt,title={Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways},author={Atreja, Shubham and Ashkinaze, Joshua and Li, Lingyao and Mendelsohn, Julia and Hemphill, Libby},journal={arXiv preprint arXiv:2406.11980},year={2024},}
2023
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models
Julia Mendelsohn, Ronan Le Bras, Yejin Choi, and Maarten Sap
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Apr 2023
@inproceedings{mendelsohn2023dogwhistles,title={From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models},author={Mendelsohn, Julia and Le Bras, Ronan and Choi, Yejin and Sap, Maarten},booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},pages={15162--15180},year={2023},}
Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media
Julia Mendelsohn, Sayan Ghosh, David Jurgens, and Ceren Budak
In Proceedings of the International AAAI Conference on Web and Social Media , Apr 2023
@inproceedings{park2022challenges,title={Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media},author={Park, Chan Young and Mendelsohn, Julia and Field, Anjalie and Tsvetkov, Yulia},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2022},pages={5209--5235},year={2022},}
Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration
Dallas Card, Serina Chang, Chris Becker, Julia Mendelsohn, Rob Voigt, Leah Boustan, Ran Abramitzky, and Dan Jurafsky
Proceedings of the National Academy of Sciences, Apr 2022
@article{card2022computational,title={Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration},author={Card, Dallas and Chang, Serina and Becker, Chris and Mendelsohn, Julia and Voigt, Rob and Boustan, Leah and Abramitzky, Ran and Jurafsky, Dan},journal={Proceedings of the National Academy of Sciences},volume={119},number={31},pages={e2120510119},year={2022},publisher={National Acad Sciences},}
2021
Modeling Framing in Immigration Discourse on Social Media
Julia Mendelsohn, Ceren Budak, and David Jurgens
In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Apr 2021
@inproceedings{mendelsohn2021modeling,title={Modeling Framing in Immigration Discourse on Social Media},author={Mendelsohn, Julia and Budak, Ceren and Jurgens, David},booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},pages={2219--2263},year={2021},}
Detecting Community Sensitive Norm Violations in Online Conversations
Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, and Yulia Tsvetkov
In Findings of the Association for Computational Linguistics: EMNLP 2021 , Apr 2021
@inproceedings{park2021detecting,title={Detecting Community Sensitive Norm Violations in Online Conversations},author={Park, Chan Young and Mendelsohn, Julia and Radhakrishnan, Karthik and Jain, Kinjal and Kanakagiri, Tushar and Jurgens, David and Tsvetkov, Yulia},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021},pages={3386--3397},year={2021},}
2020
A framework for the computational linguistic analysis of dehumanization
Julia Mendelsohn, Yulia Tsvetkov, and Dan Jurafsky
@article{mendelsohn2020framework,title={A framework for the computational linguistic analysis of dehumanization},author={Mendelsohn, Julia and Tsvetkov, Yulia and Jurafsky, Dan},journal={Frontiers in artificial intelligence},volume={3},pages={55},year={2020},publisher={Frontiers Media SA},}
2019
Using Sentiment Induction to Understand Variation in Gendered Online Communities
Lucy Li, and Julia Mendelsohn
Proceedings of the Society for Computation in Linguistics: Vol, Apr 2019
@article{li2using,title={Using Sentiment Induction to Understand Variation in Gendered Online Communities},author={Li, Lucy and Mendelsohn, Julia},journal={Proceedings of the Society for Computation in Linguistics: Vol},volume={2},pages={17},year={2019},}
2018
Iris: A conversational agent for complex tasks
Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, and Michael S Bernstein
Proceedings of the 2018 CHI conference on human factors in computing systems, Apr 2018
@article{fast2018iris,title={Iris: A conversational agent for complex tasks},author={Fast, Ethan and Chen, Binbin and Mendelsohn, Julia and Bassen, Jonathan and Bernstein, Michael S},journal={Proceedings of the 2018 CHI conference on human factors in computing systems},pages={1--12},year={2018},}
