轉述社群貼文

內文開頭寫明「某人在臉書、Threads、X 或節目上發文/表示」的報導,以及發言者的角色或背景標籤。這是描述寫法,不評斷報導好壞:轉述官員發文本來就是常見的新聞來源。

近 30 天分析 470,192 篇

4.8%

開頭轉述社群貼文(22,716 篇)

2026-10-09每日 3.6%–7.0%

社群平台 38.1%臉書 30.9%Threads 15.9%節目或直播 5.3%X 3.8%Instagram 2.9%Dcard 1.7%YouTube 0.9%PTT 0.7%

誰的貼文被轉述

「尚未標記」表示目前無法辨識角色或背景。同一位發言者可有多個標籤,各標籤篇數與比例可能重疊,不可直接相加。

各媒體

比例的分母是各家已分析的文章;近 30 天分析不到 100 篇的媒體與轉載站不列入。點比例看那些報導。

各媒體轉述社群貼文的比例,依發言者標籤分列
3,65716.8%0.9%0.2%0.7%2.4%1.8%4.7%
2,88515.2%0.6%0.0%0.6%1.5%2.3%3.4%
14,38112.7%1.2%0.3%1.1%0.9%1.4%2.5%
4,48012.6%0.9%0.0%0.3%4.1%0.8%3.0%
6,30812.5%2.7%0.3%1.0%1.4%0.6%2.4%
5,83311.9%0.9%0.2%0.6%0.5%1.4%3.9%
6,64711.4%0.9%0.1%0.6%0.2%0.7%4.6%
18610.8%6.5%0.5%0.5%001.6%
9,7129.9%0.8%0.1%0.5%1.3%1.0%1.8%
16,6149.8%2.2%0.3%1.1%0.3%0.8%1.2%
9459.7%0.4%0.1%0.1%01.8%3.7%
4,1319.6%1.3%0.2%0.4%0.3%0.7%1.9%
16,5559.5%1.0%0.3%0.7%1.0%0.8%2.0%
3,6669.5%1.9%0.4%0.6%0.4%0.5%1.2%
3299.1%4.0%0.9%0.9%0.6%01.5%
6,8458.9%1.8%0.4%0.4%0.2%1.0%1.3%
5438.7%0000.4%2.2%0.4%
5,0298.5%1.6%0.4%1.4%0.1%0.5%1.0%
9618.1%2.8%0.2%0.8%0.2%0.1%1.4%
11,6848.1%0.6%0.1%0.3%0.6%1.0%2.2%
5097.7%2.6%001.4%0.8%2.6%
1,2157.6%0.3%0.1%0.1%01.4%2.7%
6,4007.4%0.9%0.2%0.6%0.3%0.3%1.8%
6,4777.2%0.4%0.1%0.5%0.0%1.0%2.0%
5,7187.2%0.5%00.1%0.5%0.1%2.4%
27,1357.1%1.1%0.2%0.9%0.6%0.5%1.0%
1,5596.8%2.5%0.2%0.6%0.2%0.1%0.8%
5,2136.8%1.3%0.3%0.6%0.2%0.5%1.0%
1896.3%000000
1,7876.2%0.6%000.2%0.4%1.9%
2,5916.1%1.7%0.5%0.2%00.3%1.0%
8186.0%0.2%00.2%0.1%1.0%0.4%
9465.8%1.4%0.4%0.6%001.2%
5415.5%3.1%0000.2%0
9475.5%1.3%0.5%0.4%00.3%1.2%
1,9155.3%0.1%00.2%01.5%0.6%
1,2935.3%4.1%0.1%000.1%0
1,1315.2%1.0%0.6%0.4%00.5%0.9%
1945.2%0002.6%0.5%1.0%
1344.5%1.5%0000.7%0.7%
2,6644.4%0.9%0.1%0.2%00.3%1.1%
9814.4%0.6%0.1%0.2%0.2%0.3%0.2%
4,8324.3%1.0%0.1%0.2%0.1%0.4%0.5%
29,0644.2%0.8%0.1%0.1%0.2%0.1%1.4%
2,9904.1%0.9%00.0%0.0%0.0%0.3%
3,9794.0%2.1%0.1%0.0%0.1%0.1%0.2%
1,4134.0%0.7%00.2%00.2%0.6%
4,4283.7%0.5%0.1%0.2%0.1%0.5%1.2%
2163.7%1.9%00000
2,8413.5%0.3%0.0%0.1%0.1%0.2%1.1%
1,0153.4%0.6%000.4%0.1%1.0%
6673.3%000.1%0.3%0.4%0.7%
1,2933.2%1.1%0.2%0.2%00.1%0.2%
8033.2%1.9%00000
2,7513.2%1.2%0.2%0.2%0.0%0.0%0.5%
3493.2%00000.6%0.9%
2263.1%000000.9%
19,5902.9%0.9%0.1%0.1%0.2%0.1%0.5%
3812.9%0000.3%02.1%
5,5462.8%0.4%0.0%0.1%0.1%0.3%0.8%
8,3002.8%1.2%0.0%0.1%0.0%0.1%0.5%
2,7762.7%0.6%00.1%00.2%0.4%
2,2802.6%0.5%00.1%0.1%0.0%0.3%
1,1432.5%0.6%00.1%0.1%0.3%0.3%
7492.5%0.7%00.3%0.1%0.3%0.5%
3282.4%0.6%0.3%0.3%0.3%00.3%
3,0372.4%0.9%0.1%0.3%0.0%0.0%0.6%
1,6262.3%1.0%0.1%0.1%00.1%0.4%
4772.3%1.0%00000.2%
6,3192.3%0.6%00.1%0.0%0.3%0.2%
3762.1%1.1%00000
3772.1%0.8%00.3%000
2,2162.0%0.5%0.3%00.0%00.3%
1,9342.0%0.4%000.1%0.1%0.2%
1031.9%1.0%00001.0%
1581.9%000001.3%
1,7911.8%0.7%00.1%00.1%0.4%
3421.8%0.9%00000.3%
6311.7%000.2%00.2%0.3%
18,7641.7%0.6%0.0%0.0%0.0%0.0%0.2%
1741.7%0.6%00000
7581.7%000000.3%
1,9861.7%0.5%00000.8%
2351.7%1.3%00000
5921.7%0.3%00001.2%
1241.6%000001.6%
4,8591.6%0.7%0.0%0.0%0.1%0.0%0.4%
1,3741.5%0.1%00.1%00.2%0.4%
8621.5%0.6%0.1%00.1%0.1%0.2%
6011.5%0.3%00.3%0.2%00.5%
4801.5%1.0%00000
5661.4%0.5%00000
2831.4%0.4%00000.4%
8681.4%0.6%000.1%00
1,8231.4%0.6%00000.5%
3,8751.4%0.4%00.1%0.5%00.2%
2,0981.3%0.0%00000.1%
1,1381.3%0.4%0000.1%0.1%
5621.2%000000.2%
1,7051.2%0.6%00000.1%
4,8961.2%0.4%0.0%00.0%0.1%0.4%
6721.2%00000.3%0.3%
6,9871.2%0.3%0.0%0.0%00.1%0.3%
2,0521.2%00.0%000.1%0.5%
4341.2%000000
2711.1%000000.7%
8321.1%0.5%0.1%0000
2811.1%000000
1,3131.1%0.5%000.1%00.4%
2,0651.0%0.5%00000.3%
5941.0%0.2%00000
1,1141.0%0.1%0000.1%0
8121.0%00000.1%0.1%
5201.0%000000.2%
3,5571.0%0.3%0.1%000.0%0.3%
1,1050.9%0.1%00000.7%
3320.9%000000.3%
3470.9%0.3%00000
3,1510.9%0.1%0.1%000.1%0.2%
1230.8%000000
1230.8%000000
1,2390.8%0.1%0.3%000.2%0.1%
1270.8%000000
6550.8%0.3%00000
3940.8%0.5%00000
1,9760.8%0.1%00000.3%
8250.7%0.5%000.1%00.1%
7,8550.7%0.2%00.0%000.0%
1,5380.7%0.3%00000.2%
1600.6%000000
8160.6%0.2%00000.1%
1,3760.6%0.1%00000.1%
1,5810.6%0.4%00000
1790.6%000000
1,2990.5%000000.2%
1920.5%000000.5%
1,1780.5%000000.1%
2,7700.5%00.1%0000.1%
4110.5%000000
2080.5%000000
2,3290.5%0.2%0000.0%0.2%
8530.5%0.2%0000.1%0
2,0420.4%0.2%0000.0%0.1%
2370.4%000000.4%
4860.4%000000.4%
2460.4%000000
4950.4%0.2%00000.2%
2550.4%000000
2,0680.4%000000
8160.4%0.1%00000.1%
1,2450.3%00.1%000.1%0.2%
3570.3%0.3%00000
7980.3%00.1%0000.1%
4050.2%000000
4370.2%000000
4490.2%0.2%00000
4550.2%000000
4570.2%000000
3,7770.2%000000.1%
1,0100.2%00000.1%0.1%
5300.2%000000
1,3690.1%000000.1%
3,4830.1%000000.0%
6980.1%000000
8550.1%000000
8690.1%000000.1%
8,2390.1%0.0%00000.0%
1,4020.1%000000
3,8730000000
2,8990000000
1,2570000000
7740000000
7450000000
6320000000
6100000000
5200000000
5090000000
4960000000
4950000000
4600000000
4550000000
4310000000
4300000000
3960000000
3900000000
3620000000
3340000000
3240000000
3210000000
3130000000
3100000000
2960000000
2840000000
2790000000
2770000000
2510000000
2460000000
2460000000
2370000000
2240000000
2160000000
2030000000
2020000000
1930000000
1840000000
1780000000
1760000000
1760000000
1700000000
1680000000
1270000000
1230000000
1130000000
1110000000
1060000000

最常被轉述的發言者

  1. 1台灣颱風論壇|天氣特急氣象397 篇 · 33 家
  2. 2川普公職、政治人物前任公職243 篇 · 47 家
  3. 3沈伯洋公職、政治人物評論、名嘴公司、團體180 篇 · 37 家
  4. 4蔡康永公職、政治人物評論、名嘴藝人、網紅169 篇 · 46 家
  5. 5鄭明典評論、名嘴氣象139 篇 · 23 家
  6. 6馬斯克公職、政治人物專家、企業人士126 篇 · 40 家
  7. 7羅智強公職、政治人物94 篇 · 29 家
  8. 8澤倫斯基公職、政治人物93 篇 · 23 家
  9. 9賈永婕專家、企業人士藝人、網紅89 篇 · 28 家
  10. 10周軒公職、政治人物評論、名嘴85 篇 · 22 家
  11. 11賴清德公職、政治人物82 篇 · 33 家
  12. 12陳水扁公職、政治人物前任公職75 篇 · 24 家
  13. 13洪永祥醫療健康73 篇 · 22 家
  14. 14蔣萬安公職、政治人物評論、名嘴71 篇 · 26 家
  15. 15黃暐瀚評論、名嘴70 篇 · 18 家
  16. 16蔡英文前任公職68 篇 · 34 家
  17. 17趙曉慧評論、名嘴66 篇 · 11 家
  18. 18張善政公職、政治人物63 篇 · 36 家
  19. 19張育萌公司、團體62 篇 · 7 家
  20. 20游錫堃前任公職62 篇 · 29 家
  21. 21矢板明夫評論、名嘴57 篇 · 13 家
  22. 22賈新興氣象57 篇 · 19 家
  23. 23觀氣象看天氣氣象55 篇 · 16 家
  24. 24林老師氣象站氣象51 篇 · 16 家
  25. 25沈富雄前任公職評論、名嘴48 篇 · 18 家
  26. 26林俊憲公職、政治人物評論、名嘴46 篇 · 14 家
  27. 27詹凌瑀評論、名嘴46 篇 · 5 家
  28. 28陳冠宇公職、政治人物46 篇 · 20 家
  29. 29林氏璧醫療健康藝人、網紅45 篇 · 19 家
  30. 30凌濤公職、政治人物評論、名嘴44 篇 · 21 家
  31. 31沈政男公職、政治人物醫療健康44 篇 · 11 家
  32. 32柯志恩公職、政治人物公司、團體43 篇 · 26 家
  33. 33趙少康公職、政治人物評論、名嘴專家、企業人士43 篇 · 19 家
  34. 34黃郁雯公職、政治人物42 篇 · 21 家
  35. 35吳思瑤公職、政治人物41 篇 · 16 家
  36. 36蕭瑋霖醫療健康41 篇 · 14 家
  37. 37卡尼公職、政治人物40 篇 · 22 家
  38. 38天氣職人-吳聖宇氣象38 篇 · 5 家
  39. 39張景森公職、政治人物前任公職38 篇 · 18 家
  40. 40翁曉玲公職、政治人物38 篇 · 20 家

轉述社群貼文的報導

媒體:澎湃新聞清除條件

  1. 特朗普:絕對願意接受選舉結果,準備與民主黨合作

    判斷依據「特朗普同時在社交媒體發文」

  2. 校方回應“22名學生網購服裝演出後退款”:已批評教育,部分學生私信向商家道歉

    判斷依據「有網友在社交平臺上發文稱」

  3. 多地機關單位內部廁所常態化對外開放,進一步補充公共資源

    判斷依據「安徽合肥市城管部門2026年10月29日發文稱」

  4. 四川米倉山景區“紅葉季”預約名額達閾值,再度出現遊客滯留

    判斷依據「但仍有多位遊客在社交媒體發佈」

  5. 北京日報:三麗鷗搞“特供道歉”?事情不能就此結束

    判斷依據「不過,有媒體查詢發現,該聲明目前僅在微博平臺發佈」

  6. 國臺辦回應蔡康永發文稱“沒有支持過‘臺獨’”

    判斷依據「針對蔡康永日前在社交媒體發文」

  7. 網友稱一烈士墓被圍牆壓住?官方回應:系紀念碑,將移往烈士陵園安放

    判斷依據「近日,有網友在社交平臺發文指出」

  8. 言短意長|小鵬還在“圓”,道一聲歉很難麼

    判斷依據「當天,於濤在其社交平臺賬號上發文稱」

  9. 又一知識產權保護中心發聲:嚴禁高校師生突擊申報濫用預審公共資源

    判斷依據「繼南京之後,又一知識產權保護中心發文強調」

  10. 樊振東發文抵制偷拍,人民日報:偷拍根本不是“愛”

    判斷依據「10月21日,乒乓球運動員樊振東在社交媒體發文」

  11. “喝大水”火了?上海疾控:拒絕“硬卡水量”,該不該喝水看尿液顏色

    判斷依據「2026年10月20日,“上海疾控”微信公眾號發文表示」

  12. 馬上評|孫穎莎“四不”聲明是給飯圈的一味清醒劑

    判斷依據「”10月19日,孫穎莎發文稱」

  13. 媒體:四川宜賓一炸串攤主被差評後跳河輕生,警方調查

    判斷依據「這位顧客在社交平臺上發文稱」

  14. 多地近期組織篩查干部檔案疑點問題並整改

    判斷依據「如陝西黨建網10月10日發文稱」

  15. 潮流街区能否成功如厕好比“开盲盒”,“方便之事”如何解?

    判斷依據「苏女士感到很荒唐,她把遭遇写下来发在社交平台,一些网友留言」