EVAN HANSENProduct. Editorial leadership. Trust.
EVAN HANSEN / EDITORIAL STRATEGY · MEDIA · AI · TRUST

Good judgment.
At the edge of
what comes next.

I build editorial products and teams, using technology to improve reporting, verification and the way people discover and understand information.

↓
Evan Hansen standing in an office beside windows overlooking San Francisco, photographed in 2014
Photo: Spencer A. Brown, 2014 · San Francisco Business Times ↗
WIRED.comMediumPeriscopeTwitterFactland
BIO / EVAN HANSEN

From the newsroom
to the systems behind it.

Evan Hansen builds editorial products and teams at the intersection of journalism and technology. Across WIRED.com, Medium, Periscope, Twitter and Factland, he has explored how new tools can strengthen reporting, help people find reliable information and give them context when it matters.

As editor in chief of WIRED.com from 2005 to 2013, he transformed a once-daily publication into a continuous newsroom powered by specialized blogs and editors empowered to move quickly. Monthly unique visitors grew from 5 million to 18 million as the newsroom pursued consequential reporting on surveillance, cybersecurity and national security. He also made difficult publication decisions, including releasing AT&T/NSA whistleblower documents in 2006 and defending privacy protections in the Manning chat logs.

At Medium, he developed a portfolio of approximately 18 publications, sold the Backchannel concept and recruited Steven Levy and its core team. As Periscope’s first editorial hire, he developed global live-video verification methods and pioneered curated subject channels that increased time spent in the app by 4%. At Twitter, he extended that work into breaking-news systems, human-in-the-loop machine learning and product features that explained why topics were trending. He also used OpenAI’s GPT-3 to generate automated sports-event summaries, reaching 95% accuracy, and led teams that won or placed in Twitter’s internal Hack Week competition three times.

From 2020 to October 2026, he worked across product, editorial and business development at Factland, testing a participatory model for verification. Earlier roles at CNET News.com and American Lawyer Media grounded his career in reporting and editing. He holds a BA in philosophy from the University of Toronto and an MA in philosophy from Queen’s University.

Read the Queen’s Alumni Review profile (2011, p. 51; PDF) ↗
Evan Hansen, seated on the right, in conversation with David Jiménez before an audience at the Nieman Foundation
IN CONVERSATION / NIEMAN FOUNDATION, 2015With David Jiménez · Photo: Jonathan Seitz · Read the interview ↗
SELECTED WORK / SIX CASE STUDIES

Different platforms.
A consistent question.

Six challenges across publishing, platforms and trust: the problem, my contribution and the outcome.

01 / WIRED.COM2005–2013
Typeset illustration of WIRED editorial themes and Danger Room team awards
Danger Room · team awards during Hansen’s editorial tenure

Transforming WIRED.com into a real-time newsroom

Continuous publishing, empowered editors and new tools for investigation, collaboration and reader participation.

The problem

WIRED.com published on a single daily schedule at 3 a.m. Eastern. That model limited its ability to respond to a technology news cycle that moved continuously, while publishing and editorial friction slowed the newsroom.

My contribution

I replaced the daily publishing cycle with continuous, real-time publishing and rolled out a network of subject-specific WordPress blogs to reduce publishing and editorial friction. Verticals such as Gadget Lab, Epicenter, Threat Level, Danger Room and Wired Science gave editors clear areas of responsibility. I delegated much of the daily decision-making to those editors, allowing faster reactions to breaking news, while building a culture of enterprise reporting that prioritized scoops of national and international importance. I grew the newsroom from 8 to 80 full-time and contract staff. Beyond the publishing workflow, I backed experiments that made code, open collaboration and reader participation part of how the newsroom worked, including the Assignment Zero partnership I initiated with Jay Rosen.

The outcome

The newsroom could respond to breaking news throughout the day, with blog editors making decisions close to the reporting. During my tenure, monthly unique visitors grew from 5 million to 18 million. By Q4 2012, digital accounted for 50% of WIRED’s advertising revenue; WIRED.com supplied 90% of that digital advertising revenue, according to VentureBeat’s January 2013 report. The newsroom’s work included breaking the news of Chelsea Manning’s arrest, Kim Zetter’s Stuxnet reporting and sustained coverage of the PlayStation Network breach. Danger Room earned the 2007 Online Journalism Award for beat reporting and the 2012 National Magazine Award for reporting in digital media. The newsroom also tested new reporting and publishing methods through WikiScanner, Haiti Rewired, Assignment Zero, a collaboratively edited GitHub article and code-assisted investigation of MySpace. My tenure ended in early 2013 as Condé Nast consolidated editorial control of the increasingly important website with the magazine. WIRED’s digital advertising milestone ↗

Technology as a reporting tool: five projects +

Experiments in investigation, collaborative publishing and public participation during my tenure as editor in chief.

WikiScanner: readers investigate Wikipedia edits ↗

Kevin Poulsen · WIRED interface; Virgil Griffith · WikiScanner · 2007–2008

Combined WikiScanner with reader submissions and voting to expose self-interested Wikipedia edits. The coverage won the 2008 Knight-Batten Grand Prize for innovation in journalism.

Haiti Rewired: a community beyond the news cycle ↗

WIRED.com editorial and community teams · 2010

Extended earthquake coverage into a collaborative online community focused on Haiti’s technology, infrastructure and reconstruction. Connected reporting with contributions from people interested in recovery, making participation part of the editorial product.

GitHub: turn an article into a collaborative product ↗

Robert McMillan & WIRED Enterprise · 2012

Published a GitHub profile in a public repository under a Creative Commons license. Readers could fork the article and propose changes; corrections and a Spanish translation arrived quickly. The experiment also exposed the review and version-control challenges of open editing.

Assignment Zero: open the reporting process ↗

Evan Hansen & Jay Rosen · WIRED / NewAssignment.Net; Jeff Howe and the project team · 2007

I initiated contact with Jay Rosen to explore collaborative reporting and backed the partnership. The experiment brought volunteers into research, interviews and writing. It produced seven essays and roughly 80 Q&As while revealing how much structure, editing and community support distributed reporting requires.

MySpace: code-assisted reporting with real-world consequences ↗

Kevin Poulsen · reporting and code; Jenn Shreve · initial discovery · 2006

Combined automated registry-to-profile matching with manual verification to investigate registered sex offenders on MySpace. A lead from the reporting prompted a police investigation and arrest. WIRED also published the methods and code, making the reporting approach available to others.

Reporting & experiments from this era +

Selected work published by WIRED and WIRED.com, with original authors credited.

Publishing the AT&T/NSA evidence ↗

Ryan Singel · reporting; Evan Hansen · publication decision · 2006

Made whistleblower documents publicly accessible despite AT&T’s secrecy claims, after seeking independent security assessment.

Breaking the Manning arrest story ↗

Kim Zetter & Kevin Poulsen · Threat Level · 2010

An exclusive report on the arrest of the Army analyst at the center of the WikiLeaks investigation.

Deciphering Stuxnet ↗

Kim Zetter · Threat Level · 2011

Deep reporting on the investigation into a digital weapon targeting nuclear infrastructure.

The blog network, 2008–2012 +

Technology & business

  • Gadget Lab — hardware, consumer electronics and reviews
  • Epicenter — technology business, startups and Silicon Valley
  • Webmonkey — web development, coding and browsers
  • Wired Enterprise — cloud computing, open source and infrastructure

Privacy, security & defense

  • Threat Level — privacy, cybercrime, surveillance and law
  • Danger Room — national security and military technology

Culture & entertainment

  • Underwire — movies, music, television and digital culture
  • Game | Life — games, gaming culture and hardware
  • GeekDad / GeekMom — parenting, family projects and technology
  • Beyond the Beyond — Bruce Sterling on futurism and design

Science, sport & transportation

  • Wired Science — science, environment, space and medicine
  • Autopia — cars, aviation and transportation
  • Playbook — sports, analytics and technology
  • Raw File — photography and visual storytelling
  • This Day in Tech — milestones in science and computing
Related work & coverage +
02 / WIRED.COM2010–2011
Conceptual illustration balancing privacy with public interest
Editorial illustration · privacy and public interest

Upholding editorial integrity under pressure

Defending a privacy judgment under sustained pressure—and reassessing publication when the facts changed.

The problem

After WIRED.com broke the news of Chelsea Manning’s arrest, we held chat logs containing newsworthy material alongside deeply personal information. I withheld portions on ethical grounds. A sustained public campaign challenged that decision, including criticism that some withheld material was relevant to understanding the case.

My contribution

I took responsibility for balancing news value against potential harm to Manning. Our initial decision followed discussions with Manning’s friends and family. I publicly defended the privacy judgment through sustained criticism and continued to reassess it as the story developed. In July 2011, independent reporting elsewhere had established significant details we had withheld, changing the balance between privacy and public interest.

The outcome

I authorized publication of the fuller logs in July 2011 while retaining limited redactions to protect third parties and a password. I explained why the circumstances now supported publication while standing by the earlier decision. The case demonstrates both resolve under pressure and a willingness to revise a publication judgment when its factual basis changes.

The editorial decision sequence +

June 2010: report and withhold

Published the arrest scoop and excerpts while withholding material on privacy and other editorial grounds.

December 2010: explain and defend

Publicly set out the privacy rationale and responded to criticism about the withheld material.

July 2011: reassess and publish

Explained how independent disclosures changed the privacy balance and released the fuller logs with limited redactions.

Related work & coverage +
03 / MEDIUM2013–2016
Jessi Hempel, Steven Levy and Sandra Upson in a Backchannel team portrait
Backchannel: Jessi Hempel, Steven Levy and Sandra Upson · Christine Han / Backchannel ↗

Building a portfolio of publications at Medium

A publishing program spanning technology, science, music, sports, business, travel and personal storytelling.

The problem

Medium attracted excellent writers. The challenge was turning that talent into a broad publishing program while finding a sustainable way to pay writers alongside an open platform powered by unpaid contributions.

My contribution

I developed Medium’s digital-magazine model, helping build and launch approximately 18 publications across a wide range of subjects. I sold the idea for Backchannel and recruited Steven Levy and the core team, later serving as managing editor. I co-created The Message and Human Parts with Kate Lee. The Message tested a peer-group model: authors were tasked not only with writing, but also with reading and commenting on one another’s work, making reciprocal participation part of the publication’s design. The broader portfolio included Starts With a Bang, Cuepoint, The Cauldron, Bull Market and Gone. Alongside publication development and talent recruitment, I worked with outside publishers, including Discover, to bring their content onto Medium.

The outcome

The program established a broad portfolio of editorial brands and attracted accomplished writers. A standout audience result came from Felix Salmon’s “The Bitcoin Bubble and the Future of Currency,” published during Bitcoin’s April 2013 surge. I recall it setting a Medium traffic record at roughly ten times the platform’s previous high. The Message drew contemporary coverage in MediaShift, which examined its peer collaboration model and use of Medium’s draft feedback and paragraph annotations. The larger program demonstrated editorial quality and audience demand, but the economics remained unresolved: paying writers sustainably while supporting an open, user-generated platform proved difficult. Medium later ended the digital-magazine model; individual publications followed different paths.

Selected titles from approximately 18 launches +

Backchannel

Sold the concept, recruited Steven Levy and the core team, and later served as managing editor.

The Message

Co-created with Kate Lee as an experiment in peer-group publishing. Authors were tasked with writing, reading and commenting on one another’s work, using the publication as a model for collaboration on Medium. Writers included Andy Baio, Paul Ford, Anil Dash, danah boyd, Clive Thompson and Zeynep Tufekci.

Human Parts

Co-created with Kate Lee: a publication for personal storytelling.

Starts With a Bang

Science and cosmology.

Cuepoint

Music.

The Cauldron

Sports.

Bull Market

Business and finance writing, featuring Felix Salmon among its contributors.

Gone

Travel.

Related work & coverage +
04 / PERISCOPEPeriscope, 2016–c. 2019 → Twitter
Historical Periscope interface showing a live sunset video, comments and hearts
Periscope’s historical live-video interface · Source: Pulse ↗

Building real-time video verification at Periscope

Global editorial standards, verified breaking news and curated channels that increased time spent in the app by 4%.

The problem

Hundreds of live video streams could be broadcasting across multiple languages and time zones. Viewers needed a way to find authentic, relevant coverage as events unfolded, while the platform needed consistent editorial standards for reviewing and highlighting streams in real time.

My contribution

As Periscope’s first editorial hire, I developed the overall standards and methods for reviewing live streams, confirming authenticity and highlighting high-quality, relevant coverage in the app and eventually Twitter. I focused on breaking news, including the attempted coup in Turkey, street protests in Venezuela and the Notre-Dame fire. I also pioneered curated subject channels to help viewers personalize their experience.

The outcome

Curated subject channels increased time spent in the Periscope app by 4%. The editorial operation brought verified, relevant live coverage to viewers during major breaking-news events. I continued this work at Twitter as live streaming became part of its app and after the standalone Periscope app was retired.

Examples of live-news coverage +

Attempted coup in Turkey

Live coverage of a rapidly developing political crisis.

Venezuela street protests

On-the-ground streams from demonstrations.

Notre-Dame fire

Real-time coverage of the Paris landmark as it burned.

Related work & coverage +
05 / TWITTERTwitter, c. 2019–January 2023
Conceptual feedback loop connecting expert judgment, machine learning and content evaluation
Conceptual illustration · human judgment and machine learning

Scaling editorial judgment into Twitter products

Human-in-the-loop machine learning, GPT-3 sports summaries and product experiments that brought editorial judgment into automated content systems.

The problem

Twitter could organize conversation around predictable events such as NFL games or the Oscars. Breaking news presented a different challenge: identify an unplanned event, find authentic Tweets and live video, and give people useful context before the story was fully understood. Scaling that work required more than manual selection.

My contribution

Following my transition from Periscope around 2019, I moved from live-video curation into leading the Breaking News Task Force, which rapidly identified and verified Tweets, threads and video about major events. I pioneered methods using Twitter’s Semantic Core machine learning tools to find relevant Tweets around emerging stories, adapting thematic selection to unplanned news. We used these methods during hurricane flooding in Houston. I later led an experimental team focused on scaling human curation with automation, machine learning and AI. I developed and executed a human-in-the-loop machine learning strategy, hired and trained staff, and ran early-stage experiments for new content products. This included using OpenAI’s GPT-3 to generate automated sports-event summaries, reaching 95% accuracy.

The outcome

One product launch from that work added curator-written descriptions explaining why topics were trending—for example, whether a celebrity’s name was appearing because of a death or another event. People could get the answer without scrolling through a thread. This reduced time spent in threads and raised an internal debate about engagement metrics versus usefulness. The feature became recognizable enough to inspire the “Twitter description guy” meme, a public response to the work of the wider curation team. Machine learning-powered contextual enhancements for Twitter Trends and Periscope increased monetizable daily active users and decreased toxic impressions. Across dozens of content product experiments at Twitter, teams I led won or placed in the internal Hack Week competition three times.

AI, machine learning & product accomplishments +

Breaking News Task Force

Led rapid identification and verification of Tweets, threads and live video during significant events.

Semantic Core for unplanned news

Adapted machine-assisted thematic Tweet selection from scheduled events to breaking stories, including Houston’s hurricane flooding.

Context for Trends

Led an experimental team whose work included a product launch giving users concise, curator-written explanations of trending topics.

GPT-3 sports summaries

Used OpenAI’s GPT-3 language model to generate automated sports-event summaries, reaching 95% accuracy.

Human-in-the-loop machine learning

Developed and executed the strategy, hired and trained staff, and connected editorial expertise with technical teams to improve content understanding, contextualization and summarization.

Discovery, engagement & information quality

Deployed machine learning-powered contextual enhancements for Twitter Trends and Periscope that increased monetizable daily active users and decreased toxic impressions.

Product experimentation

Ideated and tested dozens of content product experiments; teams I led won or placed in Twitter’s internal Hack Week competition three times.

Related work & coverage +
06 / FACTLAND2020–October 2026
Simplified Factland model connecting a claim, evidence review and a sampled jury
Factland’s verification model · simplified illustration ↗

Taking Factland from concept to a verification platform

Six years across product, editorial and business development—testing whether support for an idea could become a participating community.

The problem

Fact-checking faces a trust problem as well as an information problem: people may reject a verdict when they distrust the institution delivering it. Factland explored a participatory alternative in which users could submit claims, contribute evidence and help adjudicate disputes. Making that model work required enough people to participate consistently.

My contribution

I began working on Factland in 2020 and co-founded the organization, which incorporated as a 501(c)(3) nonprofit in 2022. My work spanned product, editorial and business development. I secured pro bono legal representation, was a key contributor to securing $40,000 in grants from DFINITY, recruited users, and created claims and evidence. I helped shape the product with engineering and community partners and represented the venture at conferences and in the press.

The outcome

The team built a beta platform and put the claims, evidence and jury model into practice. Factland attracted grant funding, legal support and public interest, but support for the idea did not translate into a critical mass of users. After six years of continuous work, I resigned in October 2026. The venture tested a central challenge for participatory trust products: attracting agreement with the mission is different from sustaining the activity the product depends on.

Product, editorial & business development +

Product & editorial

Helped shape the verification model and product, created claims and evidence, and recruited participants.

Business development

Secured pro bono legal representation and was a key contributor to $40,000 in grants from DFINITY.

Public representation

Represented Factland through conference appearances and press interviews.

Related work & coverage +
WHERE THIS EXPERIENCE APPLIES

The next chapter
needs human judgment.

01 / TECHNOLOGY & AI

Design the human role.

Translate editorial needs into product concepts, review standards and feedback workflows. Apply experience with human-in-the-loop machine learning, automated content selection and contextual explanations to AI product strategy and evaluation.

02 / MEDIA & CONTENT

Build for authority.

Help publishers and technology companies define a distinctive editorial mission, develop teams and publications, and connect quality with a compelling reader experience.

03 / TRUST & ADVISORY

Make evidence visible.

Advise on verification processes, information integrity and emerging trust products. Pair a founder’s willingness to experiment with an editor’s attention to evidence, incentives and uncertainty.

ANNOTATED ARCHIVE

Follow the evidence.

Selected articles, interviews, projects and team awards from a career across journalism and technology.

46 records

Wired.com · 2011
Authored / editor’s note

Manning-Lamo Chat Logs Revealed

Hansen’s bylined announcement releasing previously unpublished portions of the Manning–Lamo conversations.

Medium · 2015
Interview / first-person account

The real unit of exchange is people

A conversation about audience engagement, publishing economics and combining editorial judgment with algorithms.

Wired.com · 2011
Profile / Queen’s Alumni Review

Wired … and loving it

David Silverberg profiles Hansen’s WIRED.com leadership, editorial planning and community participation. Queen’s Alumni Review, issue 4, printed page 51 (PDF page 53).

Factland · Undated
Project / organizational record

Factland’s founding team

Factland’s founding team and its leadership across editorial, engineering, product and community.

Medium · 2015
Authored / The Message

Your Fifteen Blank of Fame

A representative essay by Hansen in The Message on expertise, invention and recognition.

Twitter · 2020
Product launch / Twitter

Adding more context to Trends

Twitter’s launch announcement describes representative Tweets selected with algorithms and human curation, alongside curator-written trend explanations.

Twitter · 2021
Interview / Will Oremus with Joanna Geary

Who Really Writes Twitter’s Trending Summaries

An interview with Twitter’s curation leader explains the team behind the “Twitter description guy” meme and its goal of making trends understandable quickly.

Twitter · Undated
Standards / Twitter

Twitter’s Curation Style Guide

Public standards for selecting Tweets and providing context, covering accuracy, balance, attribution and sensitive material.

Wired.com · 2006
Authored / editorial decision

Why We Published the AT&T Docs

Hansen explains publishing Mark Klein’s evidence obtained by reporter Ryan Singel, following independent security review.

Wired.com · 2006
Investigation / Kevin Poulsen

MySpace Predator Caught by Code

Poulsen’s code-assisted investigation identified registered offenders; one lead prompted police action and an arrest.

Wired.com · 2006
Methods / open-source reporting

How to Catch a MySpace Creep

The methodology account credits Jenn Shreve’s initial matches and explains Poulsen’s scripts, manual checks and published code.

Medium · 2014
Launch / Kate Lee

Introducing The Message

Kate Lee introduces the collaborative collection and its original twelve writers, including Andy Baio and Paul Ford.

Photography credited to the original creators. Articles and images remain the property of their respective rights holders.

WORK WITH ME

Consulting, editing
& speaking.

Available for focused projects, ongoing advisory work and speaking engagements. Bring an experienced editor and product leader to your next challenge.

01 / CONSULTING

Turn editorial ambition into a plan.

Editorial and content strategy, publication launches, newsroom workflows and product development. I help media organizations, technology companies and nonprofits connect their mission with the teams, tools and standards to deliver it.

Areas of focus: AI in editorial workflows, human judgment in automated systems, verification and information integrity.

02 / EDITING

Make the work clearer and stronger.

Developmental and substantive editing for articles, essays, reports and thought leadership. I help writers and organizations sharpen arguments, structure complex material and make technical ideas accessible.

Available for individual pieces, publication development and ongoing editorial support.

03 / SPEAKING

Put the next shift in perspective.

Keynotes, panels, moderated conversations and workshops drawing on experience at WIRED.com, Medium, Periscope and Twitter.

Topics include the future of journalism, AI and editorial judgment, trust and verification, and building media products that matter.

Have a project, publication or event in mind?

Discuss an engagement ↗
LET’S TALK ABOUT WHAT’S NEXT

Editorial instinct.
Systems perspective.

Open to executive, strategic advisory and fractional leadership opportunities across editorial products, publishing platforms, AI and trust.

Based in San Francisco. Available for remote work and Bay Area roles.

Connect on LinkedIn ↗