Tackling Domestic Disinformation: What Social Media Companies Need to Do

Submission/proposal/advocacy/recommendation

Website/link: https://issuu.com/nyusterncenterforbusinessandhumanri/docs/nyu_domestic_disinformation_digital?e=31640827/68184927

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Published date: March 1, 2019

Author: Paul M. Barrett

Subject tag: Algorithmic systems | Disinformation and misinformation

Highlights the importance of data-sharing for carrying out the research needed to inform evidence based policy making. Types of research that can be undertaken with access to data include investigating anti-bot countermeasures, fake-news, a dynamic understanding of how pervasive systems of fake news provision are evolving, ongoing audit of how the major platforms filter information. Pg.25
[This entry was sourced with minor edits from the Carnegie Endowment’s Partnership for Countering Influence Operations and its baseline datasets initiative. You can find more information here: https://ceip.knack.com/pcio-baseline-datasets]