Fred Morstatter

Fred Morstatter

University of Southern California

H-index: 32

North America-United States

About Fred Morstatter

Fred Morstatter, With an exceptional h-index of 32 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Social Media Mining, Data Science, Data Mining, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape

Policy Learning for Localized Interventions from Observational Data

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations

The butterfly effect of altering prompts: How small changes and jailbreaks affect large language model performance

Offset Unlearning for Large Language Models

Operational Collective Intelligence of Humans and Machines

Qualitative exploration of child welfare workers’ decision-making experiences and perspectives on fairness

Fred Morstatter Information

University

Position

Information Sciences Institute

Citations(all)

11593

Citations(since 2020)

9406

Cited By

4510

hIndex(all)

32

hIndex(since 2020)

30

i10Index(all)

66

i10Index(since 2020)

60

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Fred Morstatter Skills & Research Interests

Social Media Mining

Data Science

Data Mining

Machine Learning

Top articles of Fred Morstatter

Title

Journal

Author(s)

Publication Date

Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding

Myrl G Marmarelis

Greg Ver Steeg

Aram Galstyan

Fred Morstatter

2024/3/15

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape

arXiv preprint arXiv:2401.06275

Siyi Guo

Zihao He

Ashwin Rao

Fred Morstatter

Jeffrey Brantingham

...

2024/1/11

Policy Learning for Localized Interventions from Observational Data

Myrl G Marmarelis

Fred Morstatter

Aram Galstyan

Greg Ver Steeg

2024/4/18

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations

arXiv preprint arXiv:2403.04085

Abhishek Anand

Negar Mokhberian

Prathyusha Naresh Kumar

Anweasha Saha

Zihao He

...

2024/3/6

The butterfly effect of altering prompts: How small changes and jailbreaks affect large language model performance

arXiv preprint arXiv:2401.03729

Abel Salinas

Fred Morstatter

2024/1/8

Offset Unlearning for Large Language Models

arXiv preprint arXiv:2404.11045

James Y Huang

Wenxuan Zhou

Fei Wang

Fred Morstatter

Sheng Zhang

...

2024/4/17

Operational Collective Intelligence of Humans and Machines

arXiv preprint arXiv:2402.13273

Nikolos Gurney

Fred Morstatter

David V Pynadath

Adam Russell

Gleb Satyukov

2024/2/16

Qualitative exploration of child welfare workers’ decision-making experiences and perspectives on fairness

Journal of Public Child Welfare

Eunhye Ahn

Fred Morstatter

Debra Waters-Roman

Lindsey Palmer

Jacquelyn McCroskey

2024/2/12

Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits

arXiv preprint arXiv:2404.00267

Zhivar Sourati

Meltem Ozcan

Colin McDaniel

Alireza Ziabari

Nuan Wen

...

2024/3/30

" Define Your Terms": Enhancing Efficient Offensive Speech Classification with Definition

arXiv preprint arXiv:2402.03221

Huy Nghiem

Umang Gupta

Fred Morstatter

2024/2/5

Risk and Response in Large Language Models: Evaluating Key Threat Categories

arXiv preprint arXiv:2403.14988

Bahareh Harandizadeh

Abel Salinas

Fred Morstatter

2024/3/22

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models

arXiv preprint arXiv:2401.12117

Kian Ahrabian

Zhivar Sourati

Kexuan Sun

Jiarui Zhang

Yifan Jiang

...

2024/1/22

Measuring Online Emotional Reactions to Events

Siyi Guo

Zihao He

Ashwin Rao

Eugene Jang

Yuanfeixue Nan

...

2023/11/6

Modeling cross-cultural pragmatic inference with codenames duet

arXiv preprint arXiv:2306.02475

Omar Shaikh

Caleb Ziems

William Held

Aryan J Pariani

Fred Morstatter

...

2023/6/4

Hybrid forecasting of geopolitical events†

AI Magazine

Daniel M Benjamin

Fred Morstatter

Ali E Abbas

Andres Abeliuk

Pavel Atanasov

...

2023/3

Retweets Amplify the Echo Chamber Effect

Ashwin Rao

Fred Morstatter

Kristina Lerman

2024/4/15

Just another day on twitter: A complete 24 hours of twitter data

Proceedings of the International AAAI Conference on Web and Social Media

Juergen Pfeffer

Daniel Matter

Kokil Jaidka

Onur Varol

Afra Mashhadi

...

2023/6/2

Gender and Prestige Bias in Coronavirus News Reporting

arXiv preprint arXiv:2301.11994

Rebecca Dorn

Yiwen Ma

Fred Morstatter

Kristina Lerman

2023/1/27

The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA

Abel Salinas

Parth Shah

Yuzhong Huang

Robert McCormack

Fred Morstatter

2023/10/30

Pandemic culture wars: Partisan asymmetries in the moral language of covid-19 discussions

arXiv preprint arXiv:2305.18533

Ashwin Rao

Siyi Guo

Sze-Yuh Nina Wang

Fred Morstatter

Kristina Lerman

2023/5/29

See List of Professors in Fred Morstatter University(University of Southern California)

Co-Authors

H-index: 133
Huan Liu

Huan Liu

Arizona State University

H-index: 102
Kathleen M. Carley

Kathleen M. Carley

Carnegie Mellon University

H-index: 89
Jiliang Tang

Jiliang Tang

Michigan State University

H-index: 73
Emilio Ferrara

Emilio Ferrara

University of Southern California

H-index: 68
Kristina Lerman

Kristina Lerman

University of Southern California

H-index: 61
Xiang Ren

Xiang Ren

University of Southern California

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