Channel
@WhatsNewsHK
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,201subscribers
-47 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001239243796 |
|---|---|
| Type | Channel |
| Username | @WhatsNewsHK |
| Created | 8 August 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/WhatsNewsHK |
Politics & activism — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 07:41 | 2,201 | -6 |
| 14 Sept 2026, 04:15 | 2,207 | -7 |
| 10 Sept 2026, 12:18 | 2,214 | -7 |
| 5 Sept 2026, 11:59 | 2,221 | -6 |
| 1 Sept 2026, 09:48 | 2,227 | -4 |
| 26 Aug 2026, 09:34 | 2,231 | -4 |
| 22 Aug 2026, 22:47 | 2,235 | -3 |
| 19 Aug 2026, 14:08 | 2,238 | -7 |
| 16 Aug 2026, 17:35 | 2,245 | -1 |
| 12 Aug 2026, 21:40 | 2,246 | -4 |
| 6 Aug 2026, 22:50 | 2,250 | +2 |
| 6 Aug 2026, 08:02 | 2,248 | first reading |
20 posts held, back to 19 March 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of 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 20 posts for this entry, the most recent from 21 December 2024. An engagement rate over an empty window would be a number about nothing.
398 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 20.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤬 | 81 | 20.4% | |
| ❤ | 76 | 19.1% | |
| 👍 | 68 | 17.1% | |
| 🙏 | 66 | 16.6% | |
| 😢 | 40 | 10.1% | |
| 🔥 | 19 | 4.77% | |
| 👎 | 17 | 4.27% | |
| 🤡 | 15 | 3.77% | |
| 😨 | 8 | 2.01% | |
| 🍌 | 2 | 0.503% | |
| 🤣 | 2 | 0.503% | |
| 👀 | 1 | 0.251% | |
| 💔 | 1 | 0.251% | |
| 😁 | 1 | 0.251% | |
| 😭 | 1 | 0.251% |
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 398 reactions 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 19 March 2024 to 21 December 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
[殤城：理大圍城五年放映會暨文物展覽] #國際 未能遺忘：2019理大圍城的記憶 2019年理工大學圍城，是香港抗爭運動中最關鍵和激烈的時刻之一，也是一場讓人無法遺忘的歷史印記。當時，數百名抗爭者為反對極具爭議的《逃犯條例修訂草案》及爭取更大的民主自由，堅守校園，與警方展開連日激戰。催淚煙、燃燒彈與人鏈撤離的畫面成為全球媒體的焦點，濃縮了這場運動的壓迫與希望。 是次展覽以「殤城」為題，首次公開抗爭文物，包括現場留下的碎片殘骸——這些物品見證了堅守者的勇氣與犧牲，也訴說著自由的高昂代價。透過這些歷史的實物，向未曾經歷運動洗禮的參觀者展示出當時境況，同時讓曾身處其中的港人在異地重拾記憶，共同反思這場運動的深遠影響。 完整報道：https://www.whatsnewsmedia.com/14043/11/45/32/ #理大圍城 #放映會 #澳洲 #反修例 #墨爾本 #殤城 #文物展覽 ──────────────── 更…
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【隧道中現曙光 前區議員望大家盡快出來團聚】 https://youtu.be/1IOOO5LXjds
😢15🙏5❤1🔥1
[47人案判決揭盅 庭外市民聞判決後傷心落淚] #港聞 47人案終完成判決，45名被告被控串謀顛覆國家政權罪罪成，判囚4年兩個月至10年不等，當中被法庭裁定初為首要分子的首被告戴耀廷，判囚10年。第二被告區諾軒、第三被告趙家賢、第四被告鍾錦麟同被裁定為首要分子，分別判囚六年9個月、7年、6年1個月。由於法庭旁聽席不足，警方舉牌示意額滿，要求市民離開現場，約200名未能成功進入法庭的市民決定留守法庭門外等候判決。當法庭判決傳出後，法庭外不少市民都傷心落淚。 完整報道：https://www.whatsnewsmedia.com/14025/15/44/03/ #串謀顛覆國家政權 #李予信 #平安 #黃丹晴 #47人案 #判決 #判囚 #戴耀廷 #區諾軒 #趙家賢 #鍾錦麟 #首要分子 #留守法庭 ──────────────── 更多即時新聞盡在網頁 www.whatsnewsmedia.com ─────────────…
😢24❤2👍2
【47人案庭外採訪遇阻攔警方不斷延伸封鎖線至百米外】 https://youtu.be/ZWgrGr_3ANI?si=VkBCGhgvc6eTPWhe
🤬18🔥1
[47人案旁聽席不足 開庭後仍有約200名市民於庭外等候 劉慧卿建議法庭應開放更多延伸庭] #港聞 47人案距今逾3年8個月，今年5月裁定45人罪成，今(19日)判刑，當中有32人還柙至今。司法機構昨日(18日)宣布將派發404張公眾籌，其中四樓正庭的3號法庭只設5張公眾籌，其餘399張公眾籌分佈於4樓和8樓的延伸庭。旁聽者約今早8時開始相繼進入法庭取籌，但直至開庭仍然有約200名市民於庭外等候。 前立法會議員劉慧卿今天亦有到場排隊等候，但未能成功進入法庭。對於法庭旁聽公眾席安排，劉慧卿表示「叫佢哋（法庭）快啲開晒啲場，有電視機嗰啲位，咪開晒俾啲人入去坐囉。」希望... 完整報道：https://www.whatsnewsmedia.com/14012/13/17/38/ #西九龍裁判法院 #李予信 #黃丹晴 #旁聽席 #法院大樓 #親屬 #劉慧卿 #歐盟領事 #美國領事 #民主黨 ──────────────── 更…
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[西九法院外設記者區隔開傳媒 警方極力阻止被告家屬受訪] #港聞 47人案今(19日)判刑，數百人到場排隊等候旁聽，警方以維持秩序為由於西九龍裁判法院門外用鐵欄劃分3個記者區，記者必須在鐵欄內拍攝及採訪，將傳媒與旁聽者分隔數米距離。每當記者離開區域，傳媒聯絡會即時走來詢問所屬機構，同時只能到另一個記者區進行拍攝。傳媒除了難以採訪旁聽者之餘，每當有知名人士到場，警員都會在旁控制，阻礙採訪。 完整報道：https://www.whatsnewsmedia.com/14004/10/57/36/ #西九龍裁判法院 #記者區 #阻礙採訪 #警民關係科 #傳媒聯絡 ──────────────── 更多即時新聞盡在網頁 www.whatsnewsmedia.com ──────────────── 堅持捍衛真理 和你報道真相 加入會員，支持新聞工作： https://bit.ly/3BaNKFC ──────────────── …
🤬22👍1
[47人案今判刑 逾200人冒雨排隊等候旁聽] #港聞 47人案自2021年3月首度提堂，終到今天（19日)判刑，上午7時已逾200人於西九龍裁判法院外冒雨排隊等候旁聽席，當中有數十人是通宵甚至提前兩天輪候，雨勢一度頗大。警方動用大量警員到場駐守及巡邏，並出動警犬協助。 社民連前主席黃浩銘手持黃傘到場，接受訪問時指希望告訴一眾被告，外面仍然有不少香港人支撐着他們，甚至有人通宵輪候。被問到有否期望今天有人能夠獲釋... 完整報道：https://www.whatsnewsmedia.com/13993/09/03/18/ #判刑 #旁聽 #社民連 #47人案 #黃浩銘 #量刑 ──────────────── 更多即時新聞盡在網頁 www.whatsnewsmedia.com ──────────────── 堅持捍衛真理 和你報道真相 加入會員，支持新聞工作： https://bit.ly/3BaNKFC ──────…
🙏10👍6🔥3❤1
[西九法院「排隊黨」再現 港人到場排隊遭「打尖」] #即時 #港聞 初選47人案將於星期二(19日)判刑，昨晚(16日)有市民於網上得知西九龍裁判法院外懷疑出現十數名「排隊黨」，擔心旁聽位置不足，於是今早(17日)到場排隊，希望能留一席位在場支持一眾被告。警方已派出大量警力在場巡邏及維持秩序，法庭外圍架設水馬、圍欄、阻車器等，裝甲車於法庭門外駐守，疑似便衣警員亦加入排隊隊伍中。 被懷疑是「排隊黨」的人士自攜摺凳及雨傘，並戴上口罩，大部份都不願意回應提問，直至被問到排隊聽哪宗案件，有人回應指「唔知道，有咩你問返啊Sir，啊Sir會答你。」記者觀察期間，「排隊黨」有人加入或離開，亦有與警方交談。 完整報道：https://www.whatsnewsmedia.com/13975/22/58/29/ #西九龍裁判法院 #旁聽 #初選47人案 #排隊黨 #打尖 #女長毛 ──────────────── 更多即時新聞盡在網頁 …
🤬7👍6
[和你報迷霧中迎接四周年 感謝黑暗中伸出援手的同行者] 回顧這一年，或許是和你報最靜默的一年。忍痛下從突發新聞中淡出，從政府新聞中退場，箇中原因除了嚴重人手問題外，更重要的是摸索未來方向。在現今一人不只一手機的年代，資訊量氾濫，各大新聞媒體爭相報道的，已不是和你報能夠追隨的方向。寧缺勿濫，發掘社會民生故事，或許是和你報未來的出路。 細看這年我們報道的每篇文章，記憶深刻的必定是台灣大選，滿腔熱誠卻毫無經驗地走到台灣總統府外。感恩得到不少新聞前輩帶領，分享他們的寶貴經驗，從沒因為和你報是小小網媒而藐視，甚至出手相助，在這衷心向各位前輩道謝。另外亦感謝當中不少移居台灣的香港人，接受訪問之餘分享很多移民者及當地人的看法及感受，令這趟台灣大選之旅豐富不少。 人事方面，雖然不少讀者們熟悉的名字不再現，但慶幸有位資深新聞從業員加入，令迷茫中的和你報帶來新景象。例如年中的評論或延伸閱讀等文稿，嘗試為讀者帶來更深入資訊，全都是這位新成員的功…
🙏28❤12👍1
[膠叔叔「香港人積木S2」封印五年終極面世 向支持者兌現承諾 提醒大眾勿忘初心] #副刊 膠叔叔UnclePlastic曾於2019年於Kickstarter推出「香港人積木」系列，記錄著當年重要的人物角色，包括醫護、記者及香港人。事隔5年，被一眾支持者連番追問下終推出「香港人積木」系列第二季，當中包括時刻都在救急扶危的消防及救護，作為社會未來棟樑的學生，以及在網絡上及過去文宣中時常出現的「豬仔」、「狗仔」及「青蛙仔」。第二季1套8款原售$964，預售價以低價$588發售，望為大眾可在經濟低迷情況下帶來一點平價娛樂，以及完成曾經向一眾支持者許下的承諾。 經過短短5年的歲月，現時平台以1人運作，膠叔叔接受訪問時表示在這5年間，與港人一同經歷局勢變動及疫情之餘，亦曾被有心之士向海關舉報其貨品，先後與海關為此周旋，停運1年終能滿足海關要求繼續發售。期間亦有推出其他系列如「積木兄弟」、「香港運動員」及為紀念《蘋果日報》而推出「蘋果…
❤16👍4👎1
[港大經管學院揭以假學歷入學 涉100人皆為中國籍] #港聞 香港大學經管學院作爲亞洲頂尖的商學院，一向是港大申請競爭最爲激烈的專業學院之一，單是2023年學院收到的修課式研究生申請超過2.4萬份，但最終獲得錄取的學生約為2600名。 今年五月有中國網民在網上發文，指有內地生以假學歷報讀香港大學自資碩士課程，其截圖廣泛在小紅書等網上流傳，港大當時稱會進行調查，需要部份學生提交學士學位成績表。港大經管學院表示，早前發現「極少數」入學申請個案涉及提交虛假文件，院方已即時採取行動並展開全面調查，將採取行動包括剝奪錄取資格及取消學籍註冊等，亦將與相關執法機構合作追究涉事的中介。 完整報道：https://www.whatsnewsmedia.com/13925/19/28/14/ #香港大學 #香港大學經管學院 #假學歷 #中國籍 #小紅書 ──────────────── 更多即時新聞盡在網頁 www.whatsnewsme…
🤡15👍1😁1
[梁凌杰逝世5年 港人無懼白色恐怖舉傘悼念] #港聞 梁凌杰墮樓事件至今5年，今日(15日)太古廣場外仍有少數市民無懼白色恐怖，冒着風雨手持白花到場悼念。有港人身穿黃色雨衣撐起黃傘，默站太古廣場門外。警方派出便衣警員混入人群中觀察，晚上約7時半，便衣警員將現場疑似悼念的市民續一截查身份證，無人被捕。 冒雨於太古廣場外手持白花的黃先生表示，今天到場是希望港人知道仍然有人願意站出來，至少還有他們在這裏。回想2019年二百萬人走上街頭，相信這一代人是不會忘記2019年所發生的事。縱使如今事隔5年，有人遺忘、有人放棄、有人移民，過着新生活，但關心這件事的人仍然不少。被問到2019年對其影響，黃先生指相信這一代人，雖然不是每天參與政治活動，但希望在日常中的每一步都在實踐2019當年所相信的信念，以及所追求的事。 完整報道：https://www.whatsnewsmedia.com/13906/22/53/08/ #梁凌杰 #悼…
❤13🙏9😢1
Showing the 12 most recent of 20 posts we hold for @WhatsNewsHK. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 3 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.
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.
“和你報WhatsNews Media” (@WhatsNewsHK), 2,201 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/WhatsNewsHK.
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.