24 citations · 54 across the 16 of their papers we have counts for
16 papers
CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
Rochana R. Obadage, Sarah M. Rajtmajer, Jian Wu
Sentiments about the reproducibility of cited papers in downstream literature offer community perspectives and have shown as a promising signal of the actual reproducibility of pub…
What Are Research Hypotheses?
Jian Wu, Sarah Rajtmajer
Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and…
[Re] Network Deconvolution
Rochana R. Obadage, Kumushini Thennakoon, Sarah M. Rajtmajer +1
Our work aims to reproduce the set of findings published in "Network Deconvolution" by Ye et al. (2020)[1]. That paper proposes an optimization technique for model training in conv…
Losing One's Story: How Vulnerable Users Experience Harm in Online Support Seeking
Yingfan Zhou, Priya Kumar, Anna Squicciarini +1
Online support communities are a critical resource for individuals facing distress, stigma, and limited offline support. However, these spaces are not uniformly supportive, particu…
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
Sai Koneru, Jian Wu, Sarah Rajtmajer
Hypothesis formulation and testing are central to empirical research. A strong hypothesis is a best guess based on existing evidence and informed by a comprehensive view of relevan…
A Study on Reproducibility and Replicability of Table Structure Recognition Methods
Kehinde Ajayi, Muntabir Hasan Choudhury, Sarah Rajtmajer +1
Concerns about reproducibility in artificial intelligence (AI) have emerged, as researchers have reported unsuccessful attempts to directly reproduce published findings in the fiel…
A prototype hybrid prediction market for estimating replicability of published work
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton +7
We present a prototype hybrid prediction market and demonstrate the avenue it represents for meaningful human-AI collaboration. We build on prior work proposing artificial predicti…
A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Rajtmajer, Christopher Griffin, Jian Wu +13
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress. We develop a synthetic prediction market to assess…
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models
Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka +8
In recent years, significant effort has been invested verifying the reproducibility and robustness of research claims in social and behavioral sciences (SBS), much of which has inv…
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
Nishanth Nakshatri, Arjun Menon, C. Lee Giles +2
We present a synthetic prediction market whose agent purchase logic is defined using a sigmoid transformation of a convex semi-algebraic set defined in feature space. Asset prices…
Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic
Taylor Blose, Prasanna Umar, Anna Squicciarini +1
We study observed incidence of self-disclosure in a large dataset of Tweets representing user-led English-language conversation about the Coronavirus pandemic. Using an unsupervise…
A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
Sarah Rajtmajer, Ashish Simhachalam, Thomas Zhao +2
We study Twitter data from a dynamical systems perspective. In particular, we focus on the large set of data released by Twitter Inc. and asserted to represent a Russian influence…
Power Law Public Goods Game for Personal Information Sharing in News Commentaries
Christopher Griffin, Sarah Rajtmajer, Anna Squicciarini +1
We propose a public goods game model of user sharing in an online commenting forum. In particular, we assume that users who share personal information incur an information cost but…
Consensus and Information Cascades in Game-Theoretic Imitation Dynamics with Static and Dynamic Network Topologies
Christopher Griffin, Sarah Rajtmajer, Anna Squicciarini +1
We construct a model of strategic imitation in an arbitrary network of players who interact through an additive game. Assuming a discrete time update, we show a condition under whi…
Increasing Peer Pressure on any Connected Graph Leads to Consensus
Justin Semonsen, Christopher Griffin, Anna Squicciarini +1
In this paper, we study a model of opinion dynamics in a social network in the presence increasing interpersonal influence, i.e., increasing peer pressure. Each agent in the social…
A cooperate-defect model for the spread of deviant behavior in social networks
Sarah Rajtmajer, Christopher Griffin, Derek Mikesell +1
We present a game-theoretic model for the spread of deviant behavior in online social networks. We utilize a two-strategy framework wherein each player's behavior is classified as…