Os esperamos

Channel
Canal de la Cátedra UGR-Ceuta IATEB
@catedraIATEB
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
120subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003104431105 |
|---|---|
| Type | Channel |
| Username | @catedraIATEB |
| Created | Between 1 September 2025 and 17 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/catedraIATEB |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 10:55 | 120 | +1 |
| 20 Aug 2026, 12:35 | 119 | +1 |
| 9 Aug 2026, 04:32 | 118 | no change |
| 6 Aug 2026, 03:34 | 118 | first reading |
Engagement
19 posts held, back to 17 October 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 15 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
37 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 51.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 19 | 51.4% | |
| 👏 | 12 | 32.4% | |
| ❤ | 5 | 13.5% | |
| 👌 | 1 | 2.70% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 15 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 17 October 2025 to 15 June 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
📱 Nuevas adicciones: redes sociales y smartphone en jóvenes y adolescentes El próximo lunes 15 de junio de 2026, a las 17:30 h, la Biblioteca Pública Adolfo Suárez de Ceuta acogerá la charla “Nuevas adicciones: redes sociales y smartphone en jóvenes y adolescentes”, a cargo de la Dra. María Dolores Lazo Caparrós. En esta sesión, abierta a todo el público general, reflexionaremos sobre el impacto que los smartphones…
Queridas amigas y amigos de la Cátedra Ceuta-IATEB, os dejamos aquí el programa de la jornada organizada hoy por el Archivo General de la Ciudad de Ceuta sobre "Innovación e Inteligencia Artificial en los Archivos", en la cual tenemos el honor de participar para hablar sobre IA y Ciudad. Un abrazo
👏3❤1
Desde la Cátedra estamos muy felices de dar la enhorabuena nuestra compañera Mª Jesús Rodríguez Sánchez, quien ha defendido recientemente y de manera brillante su tesis doctoral con el título "Api-Driven Multi-Domain Chatbot Generation Empowered by Generative AI". Si quieres ir familiarizándote con el trabajo de nuestra compañera Mª Jesús, miembro activo de la Cátedra y docente en el Campus de Ceuta de la UGR, aquí t…
👏3👍1
Queridas amigas y amigos, hoy la Cátedra está presente en dos eventos muy destacados. Por un lado, estamos en Madrid, participando como ponentes en la Escuela de Invierno MOMENTUM del CSIC, cuya progración os compartimos aquí: https://aprende.csic.es/catalogo/escuela-de-invierno-momentum-ciencia-de-datos-ia/ Por otro lado, el equipo de la Cátedra asiste al Bootcamp UNIVERGEM, que se celebra esta semana en Granada org…
❤2👍2👏1
Queridas amigas y amigos, la UGR ha anunciado hoy en su plataforma la contratación que vamos a realizar desde la Cátedra Ceuta-IATEB. Os rogamos que nos ayudéis dando la máxima difusión posible a esta oferta de trabajo. Un cordial saludo
👍5
¡Buenos días! Hoy os dejamos aquí un artículo de Eric Reinhart en The Gurdian que reflexiona acerca del impacto negativo de la IA en Sanidad si esta se utiliza solo para mejorar los resultados mercantiles por la vía de reducir el tiempo de contacto (¡y de comunicación de calidad y de cuidado!) entre el paciente y el especialista sanitario. Además, plantea la hipótesis de que una excesiva dependencia de la IA en San…
👏1
¡Buenas tardes! La revista “Clinical Neurology and Neurosurgery” acaba de publicar un interesante artículo titulado “From Rodents to Algorithms: The Rise of Virtual Animals in Drug Development and Neuroscience”, donde se describen avances como AnimalGAN o DeepMind Virtual Fly para la experimentación con animales virtuales de manera complementaria a la experimentación “tradicional”. Puedes ver este artículo en https…
👍1
Esta mañana de sábado hemos tenido la suerte de poder participar en una Jornada Técnica Empresarial Ceuta-India, que ha sido una experiencia de aprendizaje de primer nivel y donde hemos podido presentar la Cátedra en Inteligencia Artificial y Tecnologías Emergentes para el Bienestar que crearon recientemente la Ciudad Autónoma de Ceuta y la Universidad de Granada. En esta presentación hemos podido mostrar el potencia…
❤1👍1
¡Buenos días! Hoy traemos a nuestro canal un documento fundamental para el análisis del impacto de la IA en nuestro bienestar, el informe “HispanIA 2040: cómo la inteligencia artificial mejorará nuestro futuro”. Puedes descargarlo en https://futuros.gob.es/nuestro-trabajo/hispania-2040 Si te preguntas cómo puede la IA ayudar a mejorar nuestra vida, este informe aporta datos y claves para entender por qué debemos pr…
👍3
¡Buenos días! Comenzamos la semana haciéndonos eco de Futureproof Education, una iniciativa de UNESCO y la Comisión Europea para preparar a los centros educativos para la era de la IA. Podéis encontrar más información en https://www.unesco.org/en/digital-education/future-proof
👍2
¡Buenos días! Yurou Wang, de la Universidad de Alabama, publica un interesante artículo en The Conversation titulado “Can AI keep students motivated, or does it do the opposite?”. En su artículo expone que, efectivamente, la investigación parece demostrar un efecto moderado de la IA sobre la motivación para el aprendizaje, pero también se abren muchas e inquietantes preguntas sobre las cuales debemos investigar y r…
👍2
Showing the 12 most recent of 19 posts we hold for @catedraIATEB. 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.
Citation-graph rank
Citation-graph rank — 481,093 of 1,623,166entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Canal de la Cátedra UGR-Ceuta IATEB” (@catedraIATEB), 120 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/catedraIATEB.
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.