WikiResearch

@WikiResearch · San Francisco · joined 30 Dec 2011

Research news on @Wikipedia @Wikidata @Wikimedia, hot off the press. Volunteer-curated by @tilmanbayer & @mad_astronaut. Read our newsletter for full coverage

17 408Followers

1 448Following

7 954Posts total

3.5KViews on collected posts

Postingan terbaru

WikiResearch@WikiResearch18 Sep

In the September issue of our newsletter: * Google's AI overviews may have reduced search engine referrals to English Wikipedia by 5% (according to a preprint that has seen substantial changes) And other recent research publications https://t.co/6Xra3x7M9T https://t.co/5RjJDVEwG9

555 views · 3 likes · 2 reposts · 0 replies Open on X →

WikiResearch@WikiResearch13 Sep

"Wikimedia research methodologies: a bibliometric history of peer production and AI (2005–2025)" https://t.co/53tKT7xR2v Argues that "industry-funded research popularized the idea that Wikipedia existed as a semantic resource to be mined" https://t.co/bcQwqKQ52o

955 views · 7 likes · 3 reposts · 0 replies Open on X →

WikiResearch@WikiResearch11 Sep

"AI Use among [Swiss] Wikipedians in Science-Related Information & Communication" https://t.co/7AyFzWaXcx * Wikipedians much more cautious about using AI than scientists or journalists * Only 22.6% find AI useful for their Wikipedia contributions * Polarized on AI disclosure htt

598 views · 1 likes · 0 reposts · 0 replies Open on X →

WikiResearch@WikiResearch9 Sep

"WikiStar: A System for Shedding Light on the Hidden History of Scientific Wikipedia Articles", detecting edit types such as "technical term added" using an LLM classifier https://t.co/BeFTTmW41I (with human-annotated benchmark dataset) https://t.co/NaYzfLfIRV

786 views · 11 likes · 1 reposts · 0 replies Open on X →

WikiResearch@WikiResearch8 Sep

"SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search" https://t.co/P00z3ORvyJ (Code: https://t.co/jmxjiLsyd7 ) #RAG https://t.co/B6M8147WjL

569 views · 4 likes · 1 reposts · 1 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih lemah dari kebanyakan.

Median tayangan598akun ini924median untuk 10K–100K

Jangkauan, %3.44%akun ini3.62%median untuk 10K–100K

Interaksi, %1.05%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	598	924	0.65×
Jangkauan (tayangan ÷ pengikut)	3.44%	3.62%	0.95×
Tingkat interaksi	1.05%	1.52%	0.69×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

5698 Sep

7869 Sep

59811 Sep

95513 Sep

55518 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.23%8 Sep

1.53%9 Sep

0.17%11 Sep

1.05%13 Sep

0.90%18 Sep

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

What the audience does

Likes48.1%26 in total

Reposts13.0%7 in total

Replies1.9%1 in total

Quotes1.9%1 in total

Bookmarks35.2%19 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.