activity
20042026
most citedUsing Data Science to Understand the Film Industry's Gender Gap

32 citations · 138 across the 34 of their papers we have counts for

collaborators

37 papers

cs.CR2026

Stylometric Defenses Against Author Impersonation in Software Repositories

Leonid Ravich, Michael Fire

Software supply-chain attacks increasingly exploit an identity gap where compromised maintainer accounts authorize malicious changes. This work evaluates patch-level authorship ver…

cs.CL2026

Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

Haran Shani-Narkiss, Michael Fire, Oren Tsur

Large Language Models (LLMs) are increasingly shaping how we consume information and form our worldview. This raises concerns beyond bias in AI: do LLMs grasp the emotional nuances…

cs.CY2026

Gender Gap Analysis in News and Talk Online Radio Broadcast

Gregory Koushnir, Michael Fire, Dima Kagan +1

Radio broadcasting remains a dominant medium of communication, reaching 82% of Americans ages 12 and older weekly. Given its broad media impact, gender representation on radio news…

cs.CL2025★ 1 cited

Dark LLMs: The Growing Threat of Unaligned AI Models

Michael Fire, Yitzhak Elbazis, Adi Wasenstein +1

Large Language Models (LLMs) rapidly reshape modern life, advancing fields from healthcare to education and beyond. However, alongside their remarkable capabilities lies a signific…

cs.SD2025

VANPY: Voice Analysis Framework

Gregory Koushnir, Michael Fire, Galit Fuhrmann Alpert +1

Voice data is increasingly being used in modern digital communications, yet there is still a lack of comprehensive tools for automated voice analysis and characterization. To this…

cs.CL2024

A Novel Method for News Article Event-Based Embedding

Koren Ishlach, Itzhak Ben-David, Michael Fire +1

Embedding news articles is a crucial tool for multiple fields, such as media bias detection, identifying fake news, and making news recommendations. However, existing news embeddin…