Moral Framing and Ideological Bias of News. - Negar Mokhberian; Andrés Abeliuk; Patrick Cummings; Kristina Lerman (SocInfo, 2020)

Challenges in Forecasting Malicious Events from Incomplete Data. - Nazgol Tavabi; Andrés Abeliuk; Negar Mokhberian; Jeremy Abramson; Kristina Lerman (WWW (Companion Volume), 2020)

Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. - Zihao He; Negar Mokhberian; António Câmara; Andrés Abeliuk; Kristina Lerman (EMNLP (Findings), 2021)

Mapping Moral Valence of Tweets Following The Killing of George Floyd. - J. Hunter Priniski; Negar Mokhberian; Bahareh Harandizadeh; Fred Morstatter; Kristina Lerman; Hongjing Lu; P. Jeffrey Brantingham (ICWSM Workshops, 2021)

Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. - Zihao He; Negar Mokhberian; António Câmara; Andrés Abeliuk; Kristina Lerman (CoRR, 2021)

Noise Audits Improve Moral Foundation Classification. - Negar Mokhberian; Frederic R. Hopp; Bahareh Harandizadeh; Fred Morstatter; Kristina Lerman (ASONAM, 2022)

Infusing Knowledge from Wikipedia to Enhance Stance Detection. - Zihao He; Negar Mokhberian; Kristina Lerman (WASSA@ACL, 2022)

A Data Fusion Framework for Multi-Domain Morality Learning. - Siyi Guo; Negar Mokhberian; Kristina Lerman (ICWSM, 2023)

Non-binary Gender Expression in Online Interactions. - Rebecca Dorn; Negar Mokhberian; Julie Jiang; Jeremy Abramson; Fred Morstatter; Kristina Lerman (ASONAM (2), 2024)

Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. - Zihao He; Ashwin Rao; Siyi Guo; Negar Mokhberian; Kristina Lerman (EACL (Findings), 2024)

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. - Negar Mokhberian; Myrl G. Marmarelis; Frederic R. Hopp; Valerio Basile; Fred Morstatter; Kristina Lerman (NAACL-HLT, 2024)

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations. - Abhishek Anand; Negar Mokhberian; Prathyusha Naresh Kumar; Anweasha Saha; Zihao He; Ashwin Rao; Fred Morstatter; Kristina Lerman (CoRR, 2024)

KULCQ: An Unsupervised Keyword-based Utterance Level Clustering Quality Metric. - Pranav Guruprasad; Negar Mokhberian; Nikhil Varghese; Chandra Khatri; Amol Kelkar (CoRR, 2024)

A Systematic Analysis of Base Model Choice for Reward Modeling. - Kian Ahrabian; Pegah Jandaghi; Negar Mokhberian; Sai Praneeth Karimireddy; Jay Pujara (CoRR, 2025)