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Channel

Newsroom Digital ЮУрГУ: студенческий медиацентр

@ND_SUSU

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

349subscribers

+5 since we began measuring on 1 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001995894049
TypeChannel
Username@ND_SUSU
CreatedBetween 1 October 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded1 September 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ND_SUSU

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 22 September 2026 and assigned it the closest of 31 fixed categories, at 42% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

344351347.51 September 2026 — 344 subscribers1 September 2026 — 344 subscribers2 September 2026 — 345 subscribers10 September 2026 — 351 subscribers18 September 2026 — 349 subscribers3491 September 202618 September 2026
5 measurements spanning 17 days, net +5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 343–352 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 21:20349-2
10 Sept 2026, 22:17351+6
2 Sept 2026, 06:44345+1
1 Sept 2026, 17:15344no change
1 Sept 2026, 17:00344first reading

Engagement

12 posts held, back to 16 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
29.5%
avg views ÷ 349 subscribers
Avg views / post
103
6 posts measured
Reaction rate
9.89%
reactions ÷ views · ER floor
Posts in window
6
of 12 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 September 2026
Posts held12 (16 July 20261 September 2026)
Views total617
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 17:15 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.

What this channel posts

Video runtime
8m 03s
Average length
1m 00s

Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

109 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 57.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6357.8%
👍1211.0%
🔥1211.0%
❤‍🔥109.17%
🎄65.50%
💋65.50%

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 12 of the 12 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 109 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 16 July 2026 to 1 September 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

1 Sept 2026, 12:58 UTC37 views1 reactionsread 1 September 2026
Forwarded from @inostranets_v_RFVideo

▫️ «Приключения иностранцев в России» на ВЭФ! Активисты проекта отправились во Владивосток, чтобы стать частью одного из самых масштабных событий в сфере экономики и международного сотрудничества ▫️ Видео: Лилит Григорян, ЮУрГУ 📌 Если пост не загружается, читайте его в МАХ ▫️ Приключения иностранцев в России

1

1 Sept 2026, 11:33 UTC102 views14 reactionsread 1 September 2026
Video

📍 Владивосток | ВЭФ-2026 Показываем немного атмосферы Восточного экономического форума глазами нашего корреспондента Лилит Григорян 📸 Первый день прошел успешно ✅ Автор: Лилит Григорян

7❤‍🔥4💋3

1 Sept 2026, 10:44 UTC47 views8 reactionsread 1 September 2026
Forwarded from @sms_mediamonVideo

📸 Чем занимаются наши медийщики на ВЭФ-2026? Команда СМЦ поделилась первыми впечатлениями и рассказала о планах на стартовый день Форума. #ВЭФ2026 Авторы: Екатерина Тютюнарь, КубГУ, Лилит Григорян, ЮУрГУ СМС в МАХ | ВК | ТГ

6👍1🔥1

1 Sept 2026, 10:05 UTC126 views15 reactionsread 1 September 2026
Photo

🌏 ВЭФ-2026 уже в самом разгаре! Наш корреспондент Лилит Григорян находится во Владивостоке и уже вовсю работает на площадке Восточного экономического форума 🎤📸 Интервью, встречи, самые интересные события и атмосфера форума — все это совсем скоро в наших материалах. 📲 Следите за обновлениями и ждите новые публикации — Лилит уже собирает для вас самое интересное с ВЭФ!

8❤‍🔥4💋3

31 Aug 2026, 06:17 UTC167 views15 reactionsread 1 September 2026
Video

🌟 Дорога на ВЭФ 📍 Восточный экономический форум пройдет в 7000 километрах от нашего Челябинска — во Владивостоке. А Лилит Григорян уже отправилась туда и взяла вас с собой! ✈️ Давайте вместе проводим ее до пункта назначения и узнаем, как проходит путь на ВЭФ. Следите за новостями — впереди много интересного! ☺️ Автор: Лилит Григорян

8👍5🔥2

28 Aug 2026, 11:35 UTC138 views8 reactionsread 1 September 2026
Video

🎂 «Школе 21» Сбера — два года! Череду праздничных мероприятий запустил медиазавтрак для представителей СМИ. Журналисты, фотографы и преподаватели ЮУрГУ обсудили особенности продвижения культуры в медиа, паттерны внимания молодежи к медиатекстам и работу редакции с творческой повесткой. 🎨 Также в холле кампуса «Школы 21» прошла интерактивная выставка цифрового искусства: виртуальный музей, ИИ-открытки, 3D-печать и н

5🔥3

15 Aug 2026, 04:45 UTC317 views5 reactionsread 1 September 2026
Video

⭐️ Редактор студенческого медиацентра Newsroom Digital Светлана Васина — на модуле «Деятель» региональной программы «Друг с Юга Урала»! 📍Модуль «Деятель» проходит с 13 по 16 августа на озере Чебаркуль. Участников ждёт работа с федеральными и региональными экспертами по четырём ключевым направлениям: проектный менеджмент, режиссура, медиа и разработка программ. «Друг с Юга Урала» — флагманский проект для молодёжи Че

🔥4👍1

31 Jul 2026, 07:05 UTC214 views10 reactionsread 1 September 2026
Video

🐱Откуда берутся мемы, как они становятся вирусными и почему мы не можем перестать пересылать их друзьям? ✨Ответим на эти вопросы в новом выпуске рубрики «Короче»! Авторы: Алеся Хныкина, Диана Котяшова, Алина Федорова

6❤‍🔥2🎄2

27 Jul 2026, 09:58 UTC217 views7 reactionsread 1 September 2026
Video

🤔 Почему снимать «по наитию» — плохая стратегия: советы профессионала На образовательном форуме «В фокусе», проходящем в студенческом лагере «Олимп», лекцию по фотографии провел Сергей Качко — начальник отдела интернет-коммуникаций управления маркетинга, брендинга и стратегических коммуникаций ЮУрГУ. 📸 Эксперт разобрал со слушателями ключевые аспекты создания качественного фотоконтента: грамотные настройки камеры,

5🎄1👍1

26 Jul 2026, 14:23 UTC181 views9 reactionsread 1 September 2026
Photo

👩‍💻Умение писать тексты — суперсила любого медийщика Руководитель регионального студенческого медиацентра на базе ЮУрГУ Дарья Популова провела медиаинтенсив «Основы создания медиатекста» для участников образовательного форума «В фокусе», который проходит в спортивно-оздоровительном лагере «Олимп». Встреча состоялась 25 июля. 📝В ходе занятия спикер раскрыла главные секреты работы с текстовым контентом в социальных м

5👍3🎄1

23 Jul 2026, 05:20 UTC177 views8 reactionsread 1 September 2026
Photo

💙Поступление в университет — это всегда переломный момент. Вчерашние школьники делают шаг в новую, взрослую жизнь, где море эмоций и новых знакомств! 💭Мы спросили у студентов Южно-Уральского государственного университета: что же на самом деле удивило их больше всего после того, как они переступили порог университета? Их ответы — это честный взгляд изнутри на то, как живется новичкам в одном из ведущих вузов региона.

5🔥2👍1

16 Jul 2026, 11:20 UTC201 views9 reactionsread 1 September 2026
Photo

🤯Все абитуриенты разговаривают на каком-то своем языке — «тревожном». На нем фраза «Я просто посмотрю баллы» звучик как «Сейчас решится моя судьба и отношение всех родных ко мне». 🗣Предлагаем переводить все с «тревожного» на «русский»! Потому что поступление пугает ровно до того момента, пока вы не поймете, что вас ждут. А в ЮУрГУ вас ждут, уж поверьте! 🤩Хватит переживать! Вы на пороге нового жизненного пути! На пр

7🎄2

Showing the 12 most recent of 12 posts we hold for @ND_SUSU. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Newsroom Digital ЮУрГУ: студенческий медиацентр” (@ND_SUSU), 349 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ND_SUSU.

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.