2017/5/13 Meeting with Google News Lab

Participants

Collaboration between First Draft and Google News Lab

Tutorials and Resources

Schema.org ClaimReview

Image from google search devdocs

Actionable Item: Implement it. (Github issue)

First Draft’s 7 types of mis- and disinformation

In a scale that measures the intent to decive:

  1. Satire or Parody - 諷刺、惡搞、反串
  2. False Connection - 標題或圖片與內容不符
  3. Misleading Content - 誤導、陷害之內容
  4. False Context - 斷章取義、移花接木(上下文)
  5. Imposter Content - 仿冒來源
  6. Manipulated Content - 偽造、惡意改作、移花接木(內容本身)
  7. Fabricated Content - 完全錯誤、意欲誤導或傷害之內容

The intention behind the misinformation:

CrossCheck

Event based newsroom for the French election. Gathered several news agencies in France. Requires some effort for this kind of collaboration to persist in the long run.

News lab summit 2017 @ Singapore

Invited newshelper as well.

Efforts from Other Countries

Turn Back Hoax (FAFHH) @ Indonesia

An NGO with 40,000 collaborators doing fact check!

It works in the following way:

  1. Posts articles to be fact-checked to Facebook group https://www.facebook.com/groups/fafhh
  2. Discussions initiated in facebook group as simple as replying to a post
  3. Volunteers summarizes the discussion into an article to post in Turn Back Hoax website.

Sure and Share Center (Thai)

https://www.facebook.com/SureAndShare http://www.tnamcot.com/sureandshare/

Operated by MCOT (Thai state-owned public broadcaster), they owns a Facebook fan page, an official website and a LINE@ account. After fact checking, they also publish infographics and mythbusting videos in both their website and their LINE@ timeline.

They use 1-on-1 chats in LINE@ to collect rumors, and uses a custom keyboard app populated with prerecorded responses to respond to the message senders.

We are reaching out to them to see if they are interested in building a bot. If so, we can provide technical support to them.