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Channel

Камилла Нигматуллина | медиаэксперт

@kamillanigmatullina

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

1,122subscribers

-6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001488551736
TypeChannel
Username@kamillanigmatullina
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 19 August 2026
On Telegramt.me/kamillanigmatullina

Growth

1,1221,1281,1256 August 2026 — 1,128 subscribers6 August 2026 — 1,128 subscribers10 August 2026 — 1,127 subscribers19 August 2026 — 1,122 subscribers6 August 202619 August 2026
4 measurements spanning 14 days, net -6. 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 1,121–1,129 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Aug 2026, 18:281,122-5
10 Aug 2026, 05:511,127-1
6 Aug 2026, 12:041,128no change
6 Aug 2026, 05:221,128first reading

Engagement

20 posts held, back to 18 June 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
51.1%
avg views ÷ 1,122 subscribers
Avg views / post
574
4 posts measured
Reaction rate
5.14%
reactions ÷ views · ER floor
Posts in window
4
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held20 (18 June 20263 August 2026)
Views total2,294
Reactions total118
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 12:04 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.

Reaction mix

761 reactions across 20 posts, in 14 distinct kinds. The most used accounts for 62.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
47562.4%
🔥9612.6%
😱618.02%
👍466.04%
❤‍🔥192.50%
🙏162.10%
👏151.97%
💔70.92%
👌60.788%
😁50.657%
😍50.657%
🤝40.526%
🤩40.526%
💩20.263%

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 20 of the 20 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 761reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 18 June 2026 to 3 August 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kamillanigmatullina. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 18 June 2026 to 3 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

3 Aug 2026, 06:27 UTC277 views40 reactionsread 6 August 2026
Photo

Ухожу на недельку в глубокий детокс на высоте 2200 метров. А по возвращении планирую в свежую голову залить немного новой информации. Я давно говорю, что на журфаке очень не хватает практических навыков для медиабизнеса и маркетинга. Начну с апгрейда себя. Вписалась в интенсив для маркетологов, бренд-менеджеров и руководителей маркетинга «Маркетинг, который замечают» от SETTERS EDUCATION. На обучении будем исследов

31👍5❤‍🔥2😍2

29 Jul 2026, 18:43 UTC413 views25 reactionsread 6 August 2026
Photo

Снова вести из параллельной вселенной - такой статьи тоже не существует, хотя о бренд-медиа мы с Натальей Анатольевной (а также наши дипломники) написали достаточно. Кстати, искала недавно литературу с помощью Claude и он признался, что не может генерить правильные сноски на публикации из Киберленинки из-за капчи. Имейте в виду.

😱25

24 Jul 2026, 15:25 UTC626 views29 reactionsread 6 August 2026
File

Вышел в свет сборник тезисов нашей апрельской конференции "Медиа в современном мире". Внутри много интересного: Садовые блоги как инструмент формирования культурной среды Чат-бот как инструмент взаимодействия воронежских СМИ с аудиторией Традиции и новации в речевом строе православной интернет-проповеди В общем, наслаждайтесь. Внутри, в том числе, материалы сообщников по секции "Цифровые медиакоммуникации под дав

23🔥5👍1

22 Jul 2026, 15:46 UTC978 views24 reactionsread 6 August 2026
Photo

Вышел номер журнала "Санкт-Петербургский университет", посвященный переменам в медиареальности, в том числе вызванным ИИ. На моей памяти это происходит в журнале впервые. Внутри мое интервью и моих коллег о наших изысканиях. Еще пять лет назад мы не знали, что такое промпт, токен, агент, скилл. Не представляли, что можно за день написать парсер, спарсить данные, обработать их, визуализировать и подобрать теоретическ

18🔥6

20 Jul 2026, 07:21 UTC527 views44 reactionsread 6 August 2026
Photo

Ну что ж, беда пришла, откуда ждали. В Российском индексе научного цитирования начали появляться мои с коллегами несуществующие научные работы. Интересно, что РИНЦ их не чистит (пока), а поэтому интересно будет понаблюдать, когда виртуальных цитат станет больше реальных. Если что - нет такой статьи (а жаль).

😱336😁5

15 Jul 2026, 08:15 UTC636 views31 reactionsread 6 August 2026

Posted without readable text

16🔥9🙏5❤‍🔥1

10 Jul 2026, 17:38 UTC599 views35 reactionsread 6 August 2026
Photo

Провели мастер-класс для ОТВ Свердловской области по ИИ. Это был челлендж, потому что редакция давно автоматизирована и учится каждые полгода. Мы посмотрели на зарубежные референсы и увидели, что за последние два года западный мир перешел от генераций к работе с архивами и базами знаний на основе своих же данных. Восточный же мир пилит ИИ-экосистемы для решения комплексных задач. Тем временем вышел GPT5.6 и закон о

29🔥4🙏2

9 Jul 2026, 17:15 UTC523 views40 reactionsread 6 August 2026
Photo

Вышла монография с моим участием в качестве руководителя Центра современных медиаисследований ЮФУ. Если хотите посотрудничать, пишите - собираю заявки от партнеров на следующий год 🤓 В портфеле проекты исследований сегментов медиарынка и аналитика контента соцмедиа.

21🔥14🙏5

8 Jul 2026, 10:29 UTC574 views52 reactionsread 6 August 2026
Photo

Вручили вчера дипломы первым выпускникам магистратуры "Искусственный интеллект в журналистике и медиакоммуникациях". Обещала вам рассказать про темы первых диссертаций. Вот они: Предвзятость ИИ-контента в российских рекомендательных системах (провели эксперимент в Дзене и выяснили, как формируются информационные пузыри) Трансформация методов SMM в медиакоммуникациях (посмотрели, как меняется видимость контента в но

29❤‍🔥11🔥9👍2🙏1

6 Jul 2026, 07:59 UTC948 views28 reactionsread 6 August 2026
Photo

Гостем нового выпуска научно-популярного подкаста «Генрих Терагерц» стала заведующая кафедрой цифровых медиакоммуникаций Санкт-Петербургского государственного университета Камилла Нигматуллина. Она рассказала, как нейросети за последние годы изменили медиаиндустрию, почему одни журналисты «запрыгнули в поезд», а другие опоздали, и чем опасно слепое доверие к технологии. По словам эксперта, технологии искусственного

17❤‍🔥5👍3😍3

2 Jul 2026, 17:07 UTC≈1,220 views49 reactionsread 6 August 2026

Честно говоря, я и не мечтала, что это наступит так быстро, но вот и первый вуз, который сдался и отменил дипломы в формате текстов. Спасибо, что первыми отменили не лекторов, хотя это я тоже ванговала. Теперь осталось придумать, как сохранить науку и исследователей. Пока есть идея исследовательские проекты сделать конкурсными, как гранты для взрослых ученых. И даже платить за хорошую науку деньги. И обязательно вкл

28👍10💔7😱3💩1

30 Jun 2026, 14:29 UTC781 views64 reactionsread 6 August 2026

На журфаке защитились 152 бакалавра, из них 115 на отлично. (Плюс 68 международных журналистов, из них 49 отличников). Что дальше? Согласно данным портала Работа России, из выпуска 2023 года в СПбГУ 86% бакалавров трудоустроены (в принципе трудоустроены) со средней зарплатой 70к и 96% магистров направления «Журналистика» со средней зарплатой 97к (в любом регионе России). Более 80% членов ГАК из числа работодателей

49👍9👌6

Showing the 12 most recent of 20 posts we hold for @kamillanigmatullina. 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 — 209,147 of 1,568,528entries 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 4 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 19 August 2026 — this entry's latest reading, not the date you are reading this.

“Камилла Нигматуллина | медиаэксперт” (@kamillanigmatullina), 1,122 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/kamillanigmatullina.

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.