In Data Voids: Where Missing Data Can Easily Be Exploited, Golebiewski teams up with danah boyd (Microsoft Research; Data & Society) to demonstrate how data voids are exploited by manipulators eager to expose people to problematic content including falsehoods, misinformation, and disinformation.
Data voids are often difficult to detect. Most can be harmless until something happens that causes lots of people to search for the same term, such as a breaking news event, or a reporter using an unfamiliar phrase. In some cases, manipulators work quickly to produce conspiratorial content to fill a void, whereas other data voids, such as those from outdated terms, are filled slowly over time. Data voids are compounded by the fraught pathways of search-adjacent recommendation systems such as auto-play, auto-fill, and trending topics; each of which are vulnerable to manipulation.
In this Data & Society report, Michael Golebiewski and danah boyd identify the types of data voids in play.
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