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P1 Facebook revamps Trending Topics team.
The company later laid off the Trending Topics team.
Facebook last month laid off the Trending Topics team and said it would rely solely on algorithmic decision-making to surface trending stories across the site.
The allegations, first reported by Gizmodo on 9 May, were made by a former "news curator" of the trending topics team.
Zuckerberg made the announcement Thursday evening in a Facebook post that continued to deny the allegations of bias and the claim that the Facebook trending topics team suppresses conservative news.
Facebook denied the allegations and fired the trending topics team, replacing them with an algorithm that subsequently trended several fake stories – including one that labelled Fox News host Megyn Kelly a "closet liberal who actually wants Hillary to win".
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The topic team documents these strategies for sharpening focus – the analytic framework, key questions, and criteria for admissible evidence – in an initial work plan.
The U.S. Preventive Services Task Force has the following approach to determining what evidence is admissible: The topic team determines the bibliographic databases to be searched and the specific inclusion and exclusion criteria (i.e., admissible evidence) for the literature on each key question.
If a search finds a well-performed systematic review that directly addresses the literature on a key question through a given date, the topic team may use this review to capture the literature for those dates.
Topic teams specify criteria on a topic-by-topic basis rather than adhering to generic criteria.
If high-quality evidence is available, the topic teams may exclude lower-quality studies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com