activity
20162026
most citedFast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs

5 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

S M Rafiuddin, Atriya Sen

Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…

cs.CL2025

Learning When to Quit in Sales Conversations

Emaad Manzoor, Eva Ascarza, Oded Netzer

Salespeople frequently face the dynamic screening decision of whether to persist in a conversation or abandon it to pursue the next lead. Yet, little is known about how these decis…

cs.CL2020★ 1 cited

Uncovering Latent Biases in Text: Method and Application to Peer Review

Emaad Manzoor, Nihar B. Shah

Quantifying systematic disparities in numerical quantities such as employment rates and wages between population subgroups provides compelling evidence for the existence of societa…

cs.CL2020

Detecting Attackable Sentences in Arguments

Yohan Jo, Seojin Bang, Emaad Manzoor +2

Finding attackable sentences in an argument is the first step toward successful refutation in argumentation. We present a first large-scale analysis of sentence attackability in on…

econ.EM2020★ 2 cited

Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online

Emaad Manzoor, George H. Chen, Dokyun Lee +1

Deliberation among individuals online plays a key role in shaping the opinions that drive votes, purchases, donations and other critical offline behavior. Yet, the determinants of…

cs.SI2016

Scheduling Broadcasts in a Network of Timelines

Emaad Manzoor, Haewoon Kwak, Panos Kalnis

Broadcasts and timelines are the primary mechanism of information exchange in online social platforms today. Services like Facebook, Twitter and Instagram have enabled ordinary peo…

cs.SI2016★ 5 cited

Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs

Emaad A. Manzoor, Sadegh Momeni, Venkat N. Venkatakrishnan +1

Given a stream of heterogeneous graphs containing different types of nodes and edges, how can we spot anomalous ones in real-time while consuming bounded memory? This problem is mo…