📖 New Book | The Oromo Struggle and Greater Ethiopia Gadisa Abera’s new book explores Ethiopia’s history, identity, political development, the Oromo struggle, and questions surrounding Ethiopia’s future. The article highlights the importance of reading across different perspectives and engaging complex historical and political questions through informed and critical dialogue. 🔗 Read the full article: https://mylibrar…

Channel
INFOLIBNET (Information & Libraries Network) -Mulugeta Woldetsadik
@Information21Century
On this record: Growth · Engagement · Posts · Cite this entry
122subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001373044081 |
|---|---|
| Type | Channel |
| Username | @Information21Century |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/Information21Century |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 06:26 | 122 | +1 |
| 9 Aug 2026, 03:46 | 121 | no change |
| 7 Aug 2026, 21:25 | 121 | first reading |
Engagement
20 posts held, back to 25 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.27%
- avg views ÷ 122 subscribers
- Avg views / post
- 8.9
- 16 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 16
- of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (25 July 2026 – 8 August 2026) |
| Views total | 142 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 03:46 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Recent posts
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🧬 Scientists Trained an AI to Understand DNA — and It Designed 16 New Viruses A remarkable development at the intersection of artificial intelligence and biotechnology: researchers have used AI models trained on genetic sequences to design functional bacteriophages that target bacteria. The breakthrough offers promising possibilities for scientific research and the fight against antibiotic resistance, while raising i…
Beyond Content Generation: How AI Is Personalizing Learning and Transforming Education Artificial Intelligence is enabling educators to deliver the right learning resources at the right time for every learner. This article explores how AI-powered personalization, digital libraries, learning analytics, and connected learning ecosystems are shaping the future of education while reinforcing the indispensable role of edu…
New Blog Post Digital Humanities Projects in Africa: Preserving Heritage, Advancing Research, and Expanding Digital Access Digital Humanities is opening new opportunities for African libraries, archives, museums, universities, and communities to preserve cultural heritage, document indigenous knowledge, digitize historical collections, and support innovative research. The article explores emerging Digital Humanities …
📚 Community libraries are catalysts for literacy, lifelong learning, and digital inclusion. My latest blog explores how they can strengthen communities across Ethiopia and Africa. Read more: https://mylibrarianship.wordpress.com/2026/08/06/community-libraries-and-grassroots-literacy-strengthening-communities-through-access-to-knowledge/ #CommunityLibraries #GrassrootsLiteracy #Libraries #DigitalInclusion #Education…
📚 New Blog Post AfLIA and Book Aid International to Showcase Success Stories of Transforming African Libraries in Upcoming Webinar Discover why this upcoming AfLIA webinar is an important opportunity for librarians, educators, and information professionals to learn from successful library initiatives across Africa. 🔗 Read the full article: https://mylibrarianship.wordpress.com/2026/08/05/aflia-and-book-aid-internatio…
📚 New Blog Post Published Decolonizing Information Systems in Ethiopia: Building Inclusive, Culturally Responsive, and Digitally Sovereign Knowledge Systems This article explores how Ethiopia can develop information systems that embrace multilingualism, indigenous knowledge, digital sovereignty, open access, and culturally responsive approaches while supporting innovation and national development. Whether you are a l…
Telegram 🌍 New Blog Post | AI, African Languages & Digital Inclusion Can artificial intelligence truly serve Africa if it doesn't understand Africa's languages? Sunbird AI's Sunflower now supports 67 African languages, including 31 Ugandan languages. For Ethiopia, the inclusion of Amharic, Afaan Oromo, and Somali is a promising step toward making AI more accessible and inclusive. In this article, I examine: ✅ Why Afr…
🌍 Indigenous knowledge has helped African communities adapt to environmental change for generations. My latest blog explores how traditional ecological wisdom and modern science can work together to strengthen climate resilience across Ethiopia and Africa. 🔗 https://mylibrarianship.wordpress.com/2026/08/04/indigenous-knowledge-and-climate-resilience/ #IndigenousKnowledge #ClimateResilience #ClimateAction #Africa #…
📚 New Blog Post Decolonizing Information Systems in Africa: Building Inclusive, Culturally Responsive, and Digitally Sovereign Knowledge Systems Africa's digital future should be built upon knowledge systems that reflect its own languages, cultures, scholarship, and indigenous knowledge while remaining globally connected. Discover how libraries, archives, universities, and information professionals can lead this tran…
📚✨ Revisiting My Library World Tour Interview with Mario Coffa Every professional journey has moments that define its direction. My 2021 conversation with Mario Coffa remains a meaningful reflection of my commitment to librarianship, knowledge sharing, and strengthening access to information. This new blog post revisits that interview and explores the continued evolution of my work in the library and information fiel…
Showing the 12 most recent of 20 posts we hold for @Information21Century. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.
“INFOLIBNET (Information & Libraries Network) -Mulugeta Woldetsadik” (@Information21Century), 122 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/Information21Century.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.