22 Million tweets labeled “misinformation” on Twitter;

       859 Million tweets collected in databases for “misinformation” analysis;
Source:
https://stacks.stanford.edu/file/druid:tr171zs0069/EIP-Final-Report.pdf#page=201

       120 analysts monitoring social media “misinformation” in up to 20-hour shifts;
Source:
https://rumble.com/v1kopht-eip-120-people-huge-teams-behind-each-of-us.html

(and the same pdf above, on page 28

       15 tech platforms monitored for “misinformation” often in real-time;
Linked pdf, page 283

       <1 hour average response time between government partners and tech platforms;
Page 57

       Dozens of “misinformation narratives” targeted for platform-wide throttling; and
Page 65

       Hundreds of millions of individual Facebook posts, YouTube videos, TikToks, and tweets impacted, due to “misinformation” Terms of Service policy changes that DHS partners openly plotted and bragged tech companies would never have done without DHS partner insistence and “huge regulatory pressure” from government.
Source: https://rumble.com/v1lzhvy-eip-bragging-that-they-pushed-the-envelope-on-censorship-policies-threat-of.html

One of the speakers featured in this panel was Josue Romualdo, who leads the Defiende La Verdad campaign for the National Association of Elected Latino Officials (NALEO). FFO has previously reported how NALEO and other Latino-facing organizations are at the forefront of ATI’s “Civic Listening” campaigns to encourage Spanish-speakers to monitor public and private online speech for disinformation.

These citizen spies use online tiplines to log “problematic” content in Junkipedia, ATI’s speech monitoring database that “centralize[s] the collection of problematic content” from all major platforms, including encrypted messenger apps like WhatsApp.

In the video below, Romualdo describes his job as “capacity building” by recruiting volunteers for social media monitoring and teaching the Latino community how to spy on their community’s online messages. Recruiting people — everyday citizens to volunteer and report the speech of their peers — is the goal.

About Junkipedia

Junkipedia is a tool created by the Algorithmic Transparency Institute, a project of the National Conference on Citizenship, to provide a collaborative platform for collecting, monitoring, analyzing, and responding to problematic content online.

Weathering this crisis requires high quality, reliably sourced information. The deluge of rumors, misinformation, scams and hate that continue to flood social media have overwhelmed the capacity for any single entity to address alone. Duplication of efforts, blind spots, and the evolving nature of this crisis make it incumbent upon us to centralize and share data to optimize our collective effort.

Junkipedia provides a platform to achieve this goal by enabling institutions large and small, responsible communities, and individuals to pitch in and identify each and every instance of misinformation, so that new problems are spotted and mitigated quickly. This shared resource makes it easier to triage the messages and focus on those which others have not already addressed, and to leverage existing work instead of recreating it.

At its core, Junkipedia is a database -- a repository for the wide range of junk that spreads online. Junkipedia enables organizations and the public to submit content they find across a range of platforms and annotate it to help explain to others why it is problematic. Junkipedia supports multiple interfaces for submitting information, including directly via web-based forms, email, and SMS, directly from social media platforms, and via a programming interface to allow developers to integrate seamlessly with other systems.

Junkipedia helps to automate the analysis and monitoring of problematic content. When information is submitted to the platform, a series of automated processes extract important data related to the content, like geographic location, engagement data, image text, and notable faces in images. Junkipedia automatically creates an archive of the content, which is important given that some problematic content will be taken down by platforms or users themselves.

The system also automatically matches submissions with other instances of problematic content already in the database. It continually updates engagement data to identify changes that would indicate a shift in its potential for virality and, thus, impact. This gives Junkipedia users insight into the kinds of messages that are spreading (political and cultural themes, the volume of content creation, and engagement) and informs effective inoculation messaging to blunt the force of problematic content.

All of this information is saved as a single entry in Junkipedia called an issue. This granular information in issues can be used to search, filter, classify, and associate different issues with one another. Users can also subscribe to receive hourly, daily, or weekly alert emails to keep them up-to-date on new issues that match their specific focus.