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Renee DiResta ✓

@noUpside · agentsofinfluence.substack.com · joined 13 Mar 2009

📖 Invisible Rulers: The People Who Turn Lies Into Reality Studies adversarial abuse @Georgetown. Prev Stanford, tech, Jane Street 🦹🏻‍Twitter Files bête noire

67 096Followers
1 474Following
33 423Posts total
192.4KViews on collected posts

Latest posts

lol called it. This lying clown is going to abuse his subpoena power to fuck companies and researchers whose political opinions he doesn’t like. Again. He’s going to harass them with process, just like he did the people he targeted in Murthy — which he lost, because the 16K views · 58 likes · 5 reposts · 0 replies Open on X →
I want the grant records. The stock transfers. The board ties. The conflict policies. The journalism disclosures. They will all be hearing from me soon. No self-appointed leftist cartel gets to decide America’s future. 22.8K views · 223 likes · 37 reposts · 15 replies Open on X →
Does the Under Secretary who leaks to DOD SGEs not know this was the norm going back to 2019? This is what the fired teams and researchers actually did. 😂 2.3K views · 8 likes · 0 reposts · 1 replies Open on X →
“ Within this farm, we found 200 accounts posting in a manner that could manipulate a legitimate debate about American AI and energy policy.” Oh, do foreign influence operations potentially have impact? I was told that idea was just a front for “censorship.” 9.3K views · 48 likes · 8 reposts · 4 replies Open on X →
Twitter used to release these data sets publicly, and also to researchers who study state actors propaganda campaigns. The content here looks stylistically and thematically identical to the images OpenAI released on *JUNE 10*. Twitter’s integrity teams would have checked that 2.6K views · 19 likes · 4 reposts · 1 replies Open on X →
In the wake of a popular and overdue “vibe shift” (and policy shift) against censorship, we see a shift toward counterspeech and exposure as a preferred propaganda response, including by tech companies. Good. 20.8K views · 387 likes · 67 reposts · 15 replies Open on X →
@noUpside @TheFP Why haven’t you been indicted for stealing an election by creating fake Russian bots which was paid for by Reid Epstein Island Hoffman? 658 views · 10 likes · 2 reposts · 2 replies Open on X →
@noUpside @TheFP Fuck off, Democrat. 653 views · 0 likes · 0 reposts · 0 replies Open on X →
@noUpside @TheFP It's been an hour. 8 likes. 2 RTs. No comments. Nobody believes you. 1.3K views · 10 likes · 1 reposts · 1 replies Open on X →
This morning Jacob Siegel manufactured a controversy to gin up sales for his error-riddled book; he admits as much in the article he wrote for @TheFP, where he plays victim and pretends that a correction is cEnsoRsHiP. He says I "didn't deny" asking The Baffler to pull its htt
49.1K views · 110 likes · 15 reposts · 12 replies Open on X →
The panelists are talking about Renee DiResta from Stanford. Renee created “Russian bots” to rig an election in Alabama. She has never been held to account for anything so she continues unabated. https://t.co/KwpyDo8zNO
2:15
67K views · 272 likes · 128 reposts · 9 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views12 657this account924median for 10K–100K
Reach, %18.86%this account3.62%median for 10K–100K
Engagement, %0.79%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post12 65792413.7×
Reach (views ÷ followers)18.86%3.62%5.21×
Engagement rate0.79%1.52%0.52×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

67K1 Mar
49.1K2 Apr
1.3K
653
6583 Apr
20.8K28 Aug
2.6K
9.3K
2.3K30 Aug
22.8K20 Sep
16K21 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.63%1 Mar
0.29%2 Apr
0.94%
0.00%
2.13%3 Apr
2.28%28 Aug
0.93%
0.64%
0.38%30 Aug
1.22%20 Sep
0.39%21 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes69.8%1 145 in total
Reposts16.3%267 in total
Replies3.7%60 in total
Quotes1.5%24 in total
Bookmarks8.8%145 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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