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

Neueste Beiträge

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 →

Im Vergleich zu Konten gleicher Größe

5 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe598dieses Konto924Median für 10K–100K

Reichweite, %3.44%dieses Konto3.62%Median für 10K–100K

Interaktion, %1.05%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	598	924	0.65×
Reichweite (Aufrufe ÷ Follower)	3.44%	3.62%	0.95×
Interaktionsrate	1.05%	1.52%	0.69×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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.