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Working Groups

Zombie Claims

  • Research how Zombie Misinformation functions, what it means, how it works and why one time debunking does not work.
  • Research wikipedia as a source for zombie misinformation
  • Build tech to support research on zombie misinformation
  • Work with Meedan’s claim matching tech to effectively kill zombie claims
  • Wikipedia as a source for zombie misinformation
  • Create Topic related fact check sites
  • Build tech for detecting claim matching and similarity
  • Hold platforms accountable and tell them tools they can use
  • Tell platforms that they can use these systems
  • Make this tech available for big and small platforms

Reduce Debunking Latency

  • Work with Meedan’s check tipline to tackle this
  • Create popup news rooms around specific events
  • Anticipating Misinformation and prebunking
  • Create database of fact checks
  • Use machine learning tools for detection
  • Make this data available to different audiences (newsroom, individuals)
  • Solve for claims reappearing in multiple languages by pre-translating every factcheck

Platform Failure

  • Explore whether self regulation can work. If not then how do you fix it with regulation?
  • Compile the tech solutions that we should advocate for.
  • Study How do people exploit anonymity to spread misinformation? Can we rely on algorithmic mechanisms for reducing virality from anonymous sources/ platforms?
  • Think about tactics that leverage regulatory arbitrage (across geographies).

Liberation from Big tech Platforms

  • Create a data donation service
  • Create a traceable archive for communities
  • Archive for fact checked content (?)
  • Build a tool that lets you post on short video platforms while also keeping local archives of content produced.

Producing Content

  • Create a Narrative show that shows how information or misinformation is a part of our daily family life. Beyond media literacy that is framed as wrong action.
  • Create Educational curriculum for different age levels.
  • Create content to different languages
  • Study influencer educators to understand how they straddle objectivity and subjectivity
  • Create content in multiple formats so the audiences can have a choice on what format they want to access the ‘fact check’ in.
  • Ideate on Digital storytelling for fact checked content beyond long-form text storytelling
  • Provide a digest to creators on what topics to tackle

Increasing reach of Fact Checks

  • SEO training
  • Study and implement UI tweaks that work for different demographics

Source Tracking

  • Think about citational justice in terms of wikipedia
  • Can you use a metadata tag/ poisoning to track networks.
  • Libraries and archives are thinking of this in context of provenance and AI

MIA Data

  • A crowdsourced data directory
    • Pre-internet Tata used to create a dataset
    • Build Archives with access controls
      • See if we can join the factly project
  • Activating networks for maintaining/cleaning datasets

Data Void

  • Assist Meedan's work on gendered disinformation:
    • Definitions are a problem (one form of a gender based violence)
    • Identifying gendered disinformation (support on tech for contextual detection).

Critical Reading

  • Make Media literacy curriculum content (targeted for age groups for critical thinking)
    • Keeping updated based on research
    • Work with those involved in existing curriculum
  • Tabulating list of existing curriculum
  • Cataloging ‘misinformation techniques’ (informal logics)

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