Dana Goldstein

@DanaGoldstein · Brooklyn, NY · joined 06 Jul 2008

National correspondent @NYTimes. Author of THE TEACHER WARS.

37 587Followers

4 038Following

11 277Posts total

43.1KViews on collected posts

Derniers posts

Dana Goldstein@DanaGoldstein17 Aug

Most American students are already using A.I. to generate writing. I took a step back to ask: What does cognitive science tell us about what writing *does* for us? Is there a way to teach and learn alongside this technology without degrading skills? https://t.co/rnZTDZP1pq 5.1K views · 44 likes · 18 reposts · 7 replies Open on X →

Dana Goldstein@DanaGoldstein14 Aug

Important reporting from @natashanyt: Google turns on AI tools for young children in Google Classroom - some districts are caught unaware https://t.co/dlR0rjhJhu 4.3K views · 19 likes · 10 reposts · 4 replies Open on X →

Dana Goldstein@DanaGoldstein10 Aug

@DanaGoldstein Volume will almost stay high for the foreseeable future. Some of the problem will be taken care of by in-class everything for classes amenable to that. But for classes that require research, reflection, writing, and rewriting, far more radical structural change wou 376 views · 3 likes · 0 reposts · 0 replies Open on X →

Dana Goldstein@DanaGoldstein10 Aug

It seems like it would be ideal if there were *not* so many stories to report on the explosion of academic misconduct https://t.co/pFoATmqlKT 11.6K views · 43 likes · 9 reposts · 2 replies Open on X →

Dana Goldstein@DanaGoldstein29 Jul

For a new reporting project, hoping to hear from a wide range of college and high school students about how they use A.I. for school and in their personal lives, and how they feel about it. Please share widely ! https://t.co/n8vDdMrIoO 1.1K views · 7 likes · 1 reposts · 2 replies Open on X →

Dana Goldstein@DanaGoldstein20 Jun

@DanaGoldstein the kids cheating arent learning the kids not cheating arent learning either because theyre writing for a machine that grades like a machine, the whole loop is hollow on both ends 212 views · 0 likes · 0 reposts · 0 replies Open on X →

Dana Goldstein@DanaGoldstein18 Jun

@DanaGoldstein The idea that we're trying to detect cheating in papers is pretty stupid. 679 views · 2 likes · 0 reposts · 0 replies Open on X →

Dana Goldstein@DanaGoldstein18 Jun

@DanaGoldstein In environments where university and college English professors and instructors and high school teachers in the same subject have almost no imagination and teach robotically, cheating is going to be a severe problem, especially now. Maud Gonne in “Sailing to Byzan 287 views · 0 likes · 0 reposts · 1 replies Open on X →

Dana Goldstein@DanaGoldstein18 Jun

Student cheating is becoming impossible to detect as some A.I. companies coach young adults on how to get away with it. Inside a new arms race: "humanizers" and "autotypers" face off against AI detectors. https://t.co/fuSkgCVaPS 19.6K views · 18 likes · 12 reposts · 3 replies Open on X →

Face aux comptes de taille comparable

5 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes4 281ce compte924médiane pour 10K–100K

Portée, %11.39%ce compte3.62%médiane pour 10K–100K

Engagement, %0.86%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	4 281	924	4.63×
Portée (vues ÷ abonnés)	11.39%	3.62%	3.15×
Taux d'engagement	0.86%	1.52%	0.57×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

19.6K18 Jun

287

679

21220 Jun

1.1K29 Jul

11.6K10 Aug

376

4.3K14 Aug

5.1K17 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.20%18 Jun

0.35%

0.29%

0.00%20 Jun

0.94%29 Jul

0.48%10 Aug

0.80%

0.86%14 Aug

1.44%17 Aug

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

What the audience does

Likes45.6%136 in total

Reposts16.8%50 in total

Replies6.4%19 in total

Quotes5.4%16 in total

Bookmarks25.8%77 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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