Since I know some of you are going to just disregard this because of the source, the testimony is linked to the House page.
Before the election, we also detected and took action on activity relating to hashtags that have since been reported as manifestations of efforts to interfere with the 2016 election. For example, our automated spam detection systems helped mitigate the impact of automated Tweets promoting the #PodestaEmails hashtag, which originated with Wikileaks’ publication of thousands of emails from the Clinton campaign chairman John Podesta’s Gmail account.
The core of the hashtag was propagated by Wikileaks, whose account sent out a series of 118 original Tweets containing variants on the hashtag #PodestaEmails referencing the daily installments of the emails released on the Wikileaks website. In the two months preceding the election, around 57,000 users posted approximately 426,000 unique Tweets containing variations of the #PodestaEmails hashtag.
Approximately one quarter (25%) of those Tweets received internal tags from our automation detection systems that hid them from searches.
As described in greater detail below, our systems detected and hid just under half (48%) of the Tweets relating to variants of another notable hashtag, #DNCLeak, which concerned the disclosure of leaked emails from the Democratic National Committee.
Do I need to draw a diagram here? And to think, amidst all this “help” Clinton got, she still blames the Russians, and she still lost.
Twitter literally systematically hid damaging tweets. This is no longer in the realm of theory or conspiracy tin-foil-hattery.