Sarah Michele Rajtmajer

Affiliations:
  • Penn State, University Park, USA


According to our database1, Sarah Michele Rajtmajer authored at least 66 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reproducibility, Replicability, and Transparency in Research: What 430 Professors Think in Universities across the USA and India.
CoRR, 2024

2023
Exploring Trust and Risk during Online Bartering Interactions.
CoRR, 2023

Lived experiences of online harm amongst marginalized and vulnerable individuals in support-seeking communities on Reddit.
CoRR, 2023

Integrating measures of replicability into literature search: Challenges and opportunities.
CoRR, 2023

Perspectives from India: Challenges and Opportunities for Computational Tools to Enhance Confidence in Published Research.
CoRR, 2023

Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences.
CoRR, 2023

Evidence of Inter-state Coordination amongst State-backed Information Operations.
CoRR, 2023

From Yellow Peril to Model Minority: Asian stereotypes in social media during the COVID-19 pandemic.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

Content Sharing Design for Social Welfare in Networked Disclosure Game.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Study on Reproducibility and Replicability of Table Structure Recognition Methods.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

A Testbed for Cognitively Plausibly Bartering Agents.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Active Class Selection for Few-Shot Class-Incremental Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
An Extended Ultimatum Game for Multi-Party Access Control in Social Networks.
ACM Trans. Web, 2022

Effects of Online Self-Disclosure on Social Feedback During the COVID-19 Pandemic.
CoRR, 2022

The evolution of scientific literature as metastable knowledge states.
CoRR, 2022

A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

The Contribution of Verified Accounts to Self-Disclosure in COVID-Related Twitter Conversations.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Locality of Technical Objects and the Role of Structural Interventions for Systemic Change.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

A Synthetic Prediction Market for Estimating Confidence in Published Work.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Digital Inequality Through the Lens of Self-Disclosure.
Proc. Priv. Enhancing Technol., 2021

A study of self-disclosure during the Coronavirus pandemic.
First Monday, 2021

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models.
CoRR, 2021

Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets.
CoRR, 2021

Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers.
Proceedings of the Companion of The Web Conference 2021, 2021

Self-disclosure on Twitter During the COVID-19 Pandemic: A Network Perspective.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Comparative assessment of cyber-physical threats to megacities.
Proceedings of the IEEE International Symposium on Technology and Society, 2021

Construal Level Theory for Agent-based Planning.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Understanding and Predicting Retractions of Published Work.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020
Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic.
CoRR, 2020

A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations.
CoRR, 2020

Fragility of a multilayer network of intranational supply chains.
Appl. Netw. Sci., 2020

Automated influence and the challenge of cognitive security.
Proceedings of the 7th Annual Symposium on Hot Topics in the Science of Security, 2020

Acknowledgement Entity Recognition in CORD-19 Papers.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

A Semantics-based Approach to Disclosure Classification in User-Generated Online Content.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Tipping Point? Heightened self-disclosure during the Coronavirus pandemic.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

A Study of Self-Privacy Violations in Online Public Discourse.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Contextual representation of self-disclosure and supportiveness in short text.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Opinion Dynamics in the Presence of Increasing Agreement Pressure.
IEEE Trans. Cybern., 2019

Consensus and Information Cascades in Game-Theoretic Imitation Dynamics with Static and Dynamic Network Topologies.
SIAM J. Appl. Dyn. Syst., 2019

Power Law Public Goods Game for Personal Information Sharing in News Comments.
CoRR, 2019

Detection and Analysis of Self-Disclosure in Online News Commentaries.
Proceedings of the World Wide Web Conference, 2019

Power Law Public Goods Game for Personal Information Sharing in News Commentaries.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

Performance of a Multi-layer Commodity Flow Network in the United States Under Disturbance.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Rating Mechanisms for Sustainability of Crowdsourcing Platforms.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Toward Image Privacy Classification and Spatial Attribution of Private Content.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Multi-Party Access Control: Requirements, State of the Art and Open Challenges.
Proceedings of the 23nd ACM on Symposium on Access Control Models and Technologies, 2018

2017
Positive and negative behavioral analysis in social networks.
WIREs Data Mining Knowl. Discov., 2017

Increasing Peer Pressure on any Connected Graph Leads to Consensus.
CoRR, 2017

Dynamic Contract Design for Heterogenous Workers in Crowdsourcing for Quality Control.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content.
Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

Consensus on Social Graphs under Increasing Peer Pressure.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
A hybrid epidemic model for deindividuation and antinormative behavior in online social networks.
Soc. Netw. Anal. Min., 2016

An In-Depth Study of Peer Influence on Collective Decision Making for Multi-party Access Control (Invited Paper).
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Content-Driven Detection of Cyberbullying on the Instagram Social Network.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Invited Paper: A Model of Paradoxical Privacy Behavior in Online Users.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

Constrained Social-Energy Minimization for Multi-Party Sharing in Online Social Networks.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
An evolutionary game model for the spread of non-cooperative behavior in online social networks.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Determining a Discrete Set of Site-Constrained Privacy Options for Users in Social Networks Through Stackelberg Games.
Proceedings of the Decision and Game Theory for Security - 6th International Conference, 2015

Identification and characterization of cyberbullying dynamics in an online social network.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

A Hybrid Epidemic Model for Antinormative Behavior in Online Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
A cooperate-defect model for the spread of deviant behavior in social networks.
CoRR, 2014

2010
A note on the Estrada-Hatano communicability algorithm for detecting community structure in complex networks.
Appl. Math. Comput., 2010


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