Hello, everyone –
We have our next LD4 Wikidata Affinity Group Session on Tuesday, March 3 9am PT / 12pm ET / 17:00 UTC / 6pm CET (Time zone converter<https://zonestamp.toolforge.org/1772557200>).
Wikiproject P244 maintenance uses SPARQL queries to identify and resolve two types of constraint violations in Wikidata: instances of Wikidata items with more than one LCNAF identifier and instances of the same LCNAF identifier existing on more than one Wikidata item. The February 17th session walked participants through how to resolve the former issue, while the March 3rd session will focus on the latter. This session will be more discussion-focused, since instances where two LCNAF identifier have the same Wikidata item can be difficult to resolve because of Wikidata’s innate quirks. Maybe your ideas will become the official best practice!
Call Details: Date and Time: Tuesday, March 3 9am PT / 12pm ET / 17:00 UTC / 6pm CET (Time zone converter<https://zonestamp.toolforge.org/1772557200>)
Zoom link to join meeting: https://cornell.zoom.us/j/99309905761?pwd=ahezwPJUZzyWR9NkyNdi2sDCaHpzO3.1
Series event page: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Gr…
The LD4 Wikidata Affinity Group is associated with the LD4 Community and investigates how libraries can contribute to and better integrate library metadata with Wikidata to improve access to library resources on the web. The Affinity Group calls provide an informal space to share information and learn more about Wikidata.
Communication: Ld4-wikidata Google group: https://groups.google.com/d/forum/ld4-wikidata
Wikidata channel on LD4 Slack: https://join.slack.com/t/ld4/shared_invite/zt-39rjo8h39-W3l8xtZ~VtwM2DObLkf…
Website: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Gr…
On behalf of the LD4 Wikidata Affinity Group co-facilitators,
Hilary Thorsen
Resource Sharing Librarian
Stanford Libraries
thorsenh(a)stanford.edu
650-285-9429
Forwarding this invite to additional people who may wish to participate or
watch the recording.
Thanks, Kinneret. These presentations sound very interesting.
Pine🌲
---------- Forwarded message ---------
From: Kinneret Gordon via Analytics <analytics(a)lists.wikimedia.org>
Date: Mon, Feb 23, 2026 at 5:23 AM
Subject: [Analytics] [Wikimedia Research Showcase] AI and Communities -
February 25 at 17:30 UTC
To: <wiki-research-l(a)lists.wikimedia.org>, <
foundation-optional(a)wikimedia.org>, <wikimedia-l(a)lists.wikimedia.org>, <
analytics(a)lists.wikimedia.org>
Cc: Kinneret Gordon <kgordon(a)wikimedia.org>
Hi everyone,
The February 2026 Research Showcase will be live-streamed this Wednesday,
February 25, at 9:30 AM PT / 17:30 UTC. Find your local time here
<https://zonestamp.toolforge.org/1772040600>. Our theme this month is *AI
and Communities*.
*We invite you to watch via the YouTube
stream: https://www.youtube.com/live/qW5IQJv84HY
<https://www.youtube.com/live/qW5IQJv84HY>.* As always, you can join the
conversation in the YouTube chat as soon as the showcase goes live.
This month, we will have two presentations:
*LLMs in Wikipedia: Investigating How LLMs Impact Participation in
Knowledge Communities*By *Moyan Zhou (University of Minnesota)*Large
language models (LLMs) are reshaping knowledge production as community
members increasingly incorporate them into their contribution workflows.
However, participating in knowledge communities involves more than just
contributing content - it is also a deeply social process shaped by
members' level of expertise. While communities must carefully consider
appropriate and responsible LLM integration, the absence of concrete norms
has left individual editors to experiment and navigate LLM use on their
own. Understanding how LLMs influence community participation across
expertise levels is therefore critical in shaping future norms and
supporting effective adoption. To address this gap, we investigated
Wikipedia, one of the largest knowledge production communities, to
understand participation in three dimensions: 1) how LLMs influence the
ways editors gather knowledge, 2) how editors leverage strategies to align
LLM outputs with community norms, and 3) how other editors in the community
respond to LLM-assisted contributions. Through interviews with 16 Wikipedia
editors with different levels of expertise who had used LLMs for their
edits, we revealed a participation gap mediated by expertise in adopting
LLMs in knowledge contributions across knowledge gathering, alignment with
community norms, and peer responses. Based on these findings, we challenge
existing models of novice editors' involvement and propose design
implications for LLMs that support community engagement, highlighting
opportunities for LLMs to sustain mentorship, knowledge transmission, and
legitimacy building by scaffolding and feedback, process documentation, and
LLM disclosure by good-faith editors.*AI Didn't Start the Fire: Examining
the Stack Exchange Moderator and Contributor Strike*By *Yiwei Wu
(University of Texas at Austin)*Online communities and their host platforms
are mutually dependent yet conflict-prone. When platform policies clash
with community values, communities have resisted through strikes,
blackouts, and even migration to other platforms. Through such collective
actions, communities have sometimes won concessions, but these have
frequently proved to be temporary. Although previous research has
investigated strike events and migration chains, the processes by which
community-platform conflict unfolds remain obscure. How do
community-platform relationships deteriorate? How do communities organize
collective action? How do the participants proceed in the aftermath? We
investigate a conflict between the Stack Exchange platform and community
that occurred in 2023 around an emergency arising from the release of large
language models (LLMs). Based on a qualitative thematic analysis of 2,070
messages from Meta Stack Exchange and 14 interviews with community members,
we reveal how the 2023 conflict was preceded by a long-term deterioration
in the community-platform relationship, driven in particular by the
platform's disregard for the community's highly valued participatory role
in governance. Moreover, the platform's policy response to LLMs aggravated
the community's sense of crisis, triggering strike mobilization. We analyze
how the mobilization was coordinated through a tiered leadership and
communication structure, as well as how community members pivoted in the
aftermath. Building on recent theoretical scholarship in social computing,
we use Hirschman's exit, voice, and loyalty framework to theorize the
challenges of community-platform relations evinced in our data. Finally, we
recommend ways that platforms and communities can institute participatory
governance to be durable and effective.
Looking forward to seeing many of you,
Kinneret
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
*Learn more about Wikimedia Research <https://research.wikimedia.org/>*
_______________________________________________
Analytics mailing list -- analytics(a)lists.wikimedia.org
To unsubscribe send an email to analytics-leave(a)lists.wikimedia.org
As a researcher, I came across a highly intensive and inclusive book called
"The Internet Ecosystem". The book englobes the whole Internet history. I
have just completed the reading, I will highly recommend it and it has
useful information. The book was reviewed by Vint Cerf, the founder of the
Internet. Use: *INTECO10 *coupon code to get the book at a discounted
price. You will find more information in the email below.
Professor Peter Anderson
Head of Research
------------------------------
*From:* Nikesh B. Simmandree <nikeshbs(a)outlook.com>
*Sent:* Monday, August 18, 2025 1:35 PM
*To:* alac-announce(a)icann.org <alac-announce(a)icann.org>; alac(a)icann.org <
alac(a)icann.org>; at-large(a)icann.org <at-large(a)icann.org>;
afri-discuss(a)icann.org <afri-discuss(a)icann.org>
*Subject:* Launch of The Internet Ecosystem Book
Dear Community,
I am thrilled to announce the launch of my book, *The Internet Ecosystem* —
a comprehensive exploration of the history, architecture, governance, and
future of the Internet.
This book distills decades of technological evolution — from ARPANET and
packet switching, to AI, Web3, quantum networks, and beyond — into a clear,
engaging narrative accessible to both technical and non-technical readers
*What the Book Covers*
- *The Past:* How Cold War research, ARPANET, and packet switching gave
birth to the Internet we know today.
- *The Present:* The intricate roles of ISPs, backbone providers, cloud
infrastructure, AI, cybersecurity, and global governance shaping our daily
online experiences.
- *The Future:* Insights into 5G/6G, blockchain, immersive technologies,
quantum security, and the Internet in 2050.
With *49 detailed chapters*, the book provides a definitive yet
approachable reference for students, professionals, policymakers, and
curious readers alike.
My mission with *The Internet Ecosystem* is to make the Internet’s
complexity understandable — showing not only *how* the Internet works, but
also *why* it matters and has become one of the most transformative human
inventions — while sparking dialogue on how we build a secure, inclusive,
and sustainable digital future.
In the 21st century, understanding the Internet is not optional — it’s
essential. Whether you’re a business leader, policymaker, educator,
student, or everyday Internet user, this book provides the context and
clarity you need to navigate the opportunities and challenges of our
connected world.
*Get Your Copy*
*The Internet Ecosystem* is now available: https://payhip.com/b/hfvYg
Thank you,
Best Regards,
Nikesh B. Simmandree
Hello, everyone –
We have our next LD4 Wikidata Affinity Group Session on Tuesday, February 17 9am PT / 12pm ET / 17:00 UTC / 6pm CET (Time zone converter<https://zonestamp.toolforge.org/1771347600>).
Wikiproject P244 maintenance uses SPARQL queries to identify and resolve two types of constraint violations in Wikidata: instances of Wikidata items with more than one LCNAF identifier and instances of the same LCNAF identifier existing on more than one Wikidata item. The February 17th session will walk participants through how to resolve the former issue, while the March 3rd session will focus on the latter. Attendees don’t have to be independent NACO contributors to attend the February 17th session; there is plenty to do on-wiki to keep you busy! The March 3rd session will be more discussion-focused, since instances where two LCNAF identifier have the same Wikidata item can be difficult to resolve because of Wikidata’s innate quirks. Maybe your ideas will become the official best practice!
Call Details: Date and Time: Tuesday, February 17 9am PT / 12pm ET / 17:00 UTC / 6pm CET (Time zone converter<https://zonestamp.toolforge.org/1771347600>)
Zoom link to join meeting: https://cornell.zoom.us/j/94436875641?pwd=OBhSJajI3I9eKxI7mZIX9ZYPAV5j81.1
Series event page: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Gr…
The LD4 Wikidata Affinity Group is associated with the LD4 Community and investigates how libraries can contribute to and better integrate library metadata with Wikidata to improve access to library resources on the web. The Affinity Group calls provide an informal space to share information and learn more about Wikidata.
Communication: Ld4-wikidata Google group: https://groups.google.com/d/forum/ld4-wikidata
Wikidata channel on LD4 Slack: https://join.slack.com/t/ld4/shared_invite/zt-39rjo8h39-W3l8xtZ~VtwM2DObLkf…
Website: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Gr…
On behalf of the LD4 Wikidata Affinity Group co-facilitators,
Hilary Thorsen
Resource Sharing Librarian
Stanford Libraries
thorsenh(a)stanford.edu
650-285-9429