University of Maryland Computational Journalism Lab University of Maryland Computational Journalism Lab

University of Maryland · Philip Merrill College of Journalism · Since 2019

We connect computer science, journalism and information science to study how people produce, share and make sense of information.

The Computational Journalism Lab builds methods, datasets and tools for journalists, researchers and the public, from misleading headlines and health misinformation to media framing, social media sensing and AI for newsrooms.

Our research at the intersection of three fieldsThree overlapping circles for computer science, information science and journalism, with each lab project placed in the overlap it draws on.ComputerScienceInformationScienceJournalism#MeToo Project5 papersFramingAnalysis2 papersComputationalFact-checking6 papersMisleading Info& Clickbait7 papersHealthMisinformation7 papersSustainableFact-checking2 papersNewsBot2 papers
Our projects, placed where they draw on each field. Select one to read more.

Who we work with

Every institution that has co-authored a paper with the lab since 2019, using affiliations as printed on each paper. Lines between institutions mean they appeared on the same paper.

Collaboration networkThe lab at the center, linked to 39 partner institutions in 6 countries. Curved lines join institutions that appeared on the same paper.CJLabUMDUniversity of MississippiUM School of MedicineIBM ResearchGeorgetown UniversityUniversity of OklahomaAlbert Einstein Coll. of Med.Penn StateUT ArlingtonGoogleMicrosoft ResearchAmerican UniversityAugusta UniversityDuke UniversityEmory UniversityGeorgia TechKennesaw State UniversityMITMichigan State UniversityNew York UniversityUT AustinUniv. of Central MissouriUniversity of AlabamaUniversity of VirginiaCleveland ClinicStanford UniversityVA Long BeachCornell UniversityGeorge Washington Univ.Morgan State UniversityUtah State UniversityKUETBUETUniversity of TorontoYork UniversityUniversity of DelhiUPESQatar UniversityQCRICharles Sturt UniversityUnited StatesBangladeshCanadaIndiaQatarAustralia
All partner institutions

United States

  • University of Mississippi6
  • University of Maryland School of Medicine4
  • Georgetown University3
  • IBM Research3
  • University of Oklahoma3
  • Albert Einstein College of Medicine2
  • Pennsylvania State University2
  • The University of Texas at Arlington2
  • American University1
  • Augusta University1
  • Cleveland Clinic1
  • Duke University1
  • Emory University1
  • Georgia Institute of Technology1
  • Google1
  • Kennesaw State University1
  • Massachusetts Institute of Technology1
  • Michigan State University1
  • Microsoft Research1
  • New York University1
  • Stanford University1
  • The University of Texas at Austin1
  • University of Alabama1
  • University of Central Missouri1
  • University of Virginia1
  • VA Long Beach Healthcare System1
  • Cornell Universitygrant
  • George Washington Universitygrant
  • Morgan State Universitygrant
  • Utah State Universitygrant

Bangladesh

  • Khulna University of Engineering and Technology4
  • Bangladesh University of Engineering and Technology1

Canada

  • University of Toronto6
  • York University1

India

  • University of Delhi2
  • University of Petroleum and Energy Studies1

Qatar

  • Qatar Computing Research Institute1
  • Qatar University1

Australia

  • Charles Sturt University4

Want to work with us?

We are very open to collaboration. Email nhassan@umd.edu with a short description of the project you have in mind.

Research

All 7 projects →
6 papers · 2019–2026Active

Computational Fact-checking

Datasets, models and visual analytics that help fact-checkers find check-worthy claims and verify them.
7 papers · 2019–2025Active

Misleading Information and Clickbait

Detecting misleading headlines and clickbait in text and video, and testing corrections that stay honest without losing readers.
2 papers · 2022–2025Active

Computational Framing Analysis

Unsupervised methods that find how news and social media frame an issue, at a scale manual coding cannot reach.
2 papers · 2024–2025Active

NewsBot: AI for News Audiences

What journalists and readers want from AI tools for news, starting with chatbots that answer readers' questions.
7 papers · 2019–2023

Health Misinformation

How reliable and unreliable outlets report health news, automatic quality assessment, and health misinformation on social platforms.
5 papers · 2019–2020

The #MeToo Project

Large-scale analysis of #MeToo and #WhyIDidntReport posts to understand survivors' experiences and why many never report.

News

All news →
  • Service

    The Third Bangla Language Processing (BLP) Workshop, co-organized by Naeemul Hassan, is accepted as a one-day workshop co-located with NAACL 2027.

  • People

    Fuad Al Abir joins the lab as a Ph.D. student.

  • Preprint

    New preprint: MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection Read

  • Service

    Naeemul Hassan serves as Program Chair of the Second Bangla Language Processing (BLP) Workshop at IJCNLP-AACL 2025.

  • Paper

    New paper in CBMI 2025: A Survey of Information Disorder on Video-Sharing Platforms Read

  • Paper

    New paper in ASONAM 2025: Can Honest Headlines Engage? Correcting Misleading Headlines to Improve Credibility, Comprehension, and Engagement Read

Recent publications

All 34 →

Where our Ph.D. graduates went

People →
Md Main Uddin Rony · Bowling Green State UniversityMohammad Ali · University of North DakotaYoo Yeon · Hippocratic AI