World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
19625
World Ranking
2714
National Ranking
1348

Overview

Mor Naaman is affiliated with Cornell University in the United States and has contributed extensively to research at the intersection of social sciences and computer science. Their scholarly work spans multiple fields, with a notable focus on social sciences, where they have produced 61 publications, and computer science, with 37 publications.

The scientist's research delves into specific subfields including sociology and political science, artificial intelligence, communication, statistical and nonlinear physics, and transportation. Their exploration of these areas reflects a multi-disciplinary approach connecting technology and social phenomena.

Frequent topics addressed in their research include misinformation and its impacts, social media and politics, hate speech and cyberbullying detection, complex network analysis techniques, human mobility and location-based analysis, data-driven disease surveillance, as well as public relations and crisis communication.

Mor Naaman has published papers in various venues, with a significant number appearing in arXiv (Cornell University), where 19 works have been made available. Other frequent publication venues include the Proceedings of the International AAAI Conference on Web and Social Media with 13 publications, Proceedings of the ACM on Human-Computer Interaction with 10 publications, Scientific Reports with 3 publications, and the Proceedings of the National Academy of Sciences with 1 publication.

Their recent papers demonstrate active engagement in contemporary issues such as artificial intelligence and communication, misinformation, and social media dynamics. These include:

  • Human heuristics for AI-generated language are flawed (2023, Proceedings of the National Academy of Sciences)
  • Beyond Trending Topics: Real-World Event Identification on Twitter (2021, Proceedings of the International AAAI Conference on Web and Social Media)
  • Artificial intelligence in communication impacts language and social relationships (2023, Scientific Reports)
  • Selecting Quality Twitter Content for Events (2021, Proceedings of the International AAAI Conference on Web and Social Media)
  • VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter (2021, Proceedings of the International AAAI Conference on Web and Social Media)

Collaboration is a notable aspect of Mor Naaman's work, with frequent co-authors including Yiqing Hua, Jeffrey T. Hancock, Karen Levy, Hana Matatov, and Ofra Amir. Their repeated partnerships suggest sustained research efforts in related domains.

Best Publications

  • HT06, tagging paper, taxonomy, Flickr, academic article, to read

    Cameron Marlow;Mor Naaman;Danah Boyd;Marc Davis

  • Why we tag: motivations for annotation in mobile and online media

    Morgan Ames;Mor Naaman

  • Is it really about me?: message content in social awareness streams

    Mor Naaman;Jeffrey Boase;Chih-Hui Lai

  • Beyond Trending Topics: Real-World Event Identification on Twitter

    Hila Becker;Mor Naaman;Luis Gravano

  • Towards automatic extraction of event and place semantics from flickr tags

    Tye Rattenbury;Nathaniel Good;Mor Naaman

  • How flickr helps us make sense of the world: context and content in community-contributed media collections

    Lyndon Kennedy;Mor Naaman;Shane Ahern;Rahul Nair

  • Generating diverse and representative image search results for landmarks

    Lyndon S. Kennedy;Mor Naaman

  • Learning similarity metrics for event identification in social media

    Hila Becker;Mor Naaman;Luis Gravano

  • Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

    Max Grusky;Mor Naaman;Yoav Artzi

  • Over-exposed?: privacy patterns and considerations in online and mobile photo sharing

    Shane Ahern;Dean Eckles;Nathaniel S. Good;Simon King

  • Towards quality discourse in online news comments

    Nicholas Diakopoulos;Mor Naaman

  • Analysis of participation in an online photo-sharing community: A multidimensional perspective

    Oded Nov;Mor Naaman;Chen Ye

  • Hip and trendy: Characterizing emerging trends on Twitter

    Mor Naaman;Hila Becker;Luis Gravano

  • AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations

    Jeffrey T Hancock;Mor Naaman;Karen Levy

  • World explorer: visualizing aggregate data from unstructured text in geo-referenced collections

    Shane Ahern;Mor Naaman;Rahul Nair;Jeannie Hui-I Yang

  • Generating summaries and visualization for large collections of geo-referenced photographs

    Alexandar Jaffe;Mor Naaman;Tamir Tassa;Marc Davis

  • Automatic organization for digital photographs with geographic coordinates

    Mor Naaman;Yee Jiun Song;Andreas Paepcke;Hector Garcia-Molina

  • Diamonds in the rough: Social media visual analytics for journalistic inquiry

    Nicholas Diakopoulos;Mor Naaman;Funda Kivran-Swaine

  • Finding and assessing social media information sources in the context of journalism

    Nicholas Diakopoulos;Munmun De Choudhury;Mor Naaman

  • Context data in geo-referenced digital photo collections

    Mor Naaman;Susumu Harada;QianYing Wang;Hector Garcia-Molina

  • Hip andTrendy: Characterizing EmergingTrends onTwitter

    Mor Naaman;Hila Becker;Luis Gravano

Frequent Co-Authors

Andreas Paepcke
Andreas Paepcke Stanford University
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Marc Davis
Marc Davis Microsoft (United States)
Luis Gravano
Luis Gravano Columbia University
Nicholas Diakopoulos
Nicholas Diakopoulos Northwestern University
Yoav Artzi
Yoav Artzi Cornell University
Lyndon Kennedy
Lyndon Kennedy Apple (United States)
Thomas Ristenpart
Thomas Ristenpart Cornell University
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Deborah Estrin
Deborah Estrin Cornell University

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