iVOD / 159871

Field Value
IVOD_ID 159871
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159871
日期 2025-04-02
會議資料.會議代碼 委員會-11-3-23-5
會議資料.會議代碼:str 第11屆第3會期交通委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第5次全體委員會議
影片種類 Clip
開始時間 2025-04-02T13:02:36+08:00
結束時間 2025-04-02T13:09:31+08:00
影片長度 00:06:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/af9684606460b5822af6ed2f4e15a54e36631c288f31339d58f97504dae4de508543b75889b48ec65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 13:02:36 - 13:09:31
會議時間 2025-04-02T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第5次全體委員會議(事由:一、審查國家通訊傳播委員會函為修正「應經核准之電信管制射頻器材」、「電信管制射頻器材製造輸入及申報作業管理辦法」及「電信管理業務規費收費標準」第十四條條文案。 二、審查(一)委員黃健豪等19人擬具「電信管理法第五條、第八條及第七十九條條文修正草案」案、(二)台灣民眾黨黨團擬具「電信管理法第五條及第八條之一條文修正草案」案、(三)委員鍾佳濱等21人擬具「電信管理法第五條、第九條及第七十九條條文修正草案」案、(四)台灣民眾黨黨團擬具「電信管理法第九條及第四十條條文修正草案」案及(五)委員陳俊宇等19人擬具「電信管理法第七十五條條文修正草案」案。 【上午詢答、下午處理】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.24159375
transcript.pyannote[0].end 2.84909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.13096875
transcript.pyannote[1].end 11.03346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.79284375
transcript.pyannote[2].end 22.03596875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 11.96159375
transcript.pyannote[3].end 12.38346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 25.39409375
transcript.pyannote[4].end 26.65971875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 28.43159375
transcript.pyannote[5].end 32.95409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 33.35909375
transcript.pyannote[6].end 37.96596875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 38.59034375
transcript.pyannote[7].end 39.61971875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 40.04159375
transcript.pyannote[8].end 42.72471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 44.15909375
transcript.pyannote[9].end 45.37409375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 46.04909375
transcript.pyannote[10].end 46.90971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 47.29784375
transcript.pyannote[11].end 48.10784375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 48.59721875
transcript.pyannote[12].end 50.03159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 50.50409375
transcript.pyannote[13].end 53.42346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.30096875
transcript.pyannote[14].end 56.39346875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 56.57909375
transcript.pyannote[15].end 58.45221875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 58.84034375
transcript.pyannote[16].end 61.86096875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 62.58659375
transcript.pyannote[17].end 63.93659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 64.79721875
transcript.pyannote[18].end 66.41721875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 66.94034375
transcript.pyannote[19].end 69.43784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 69.85971875
transcript.pyannote[20].end 71.54721875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 72.61034375
transcript.pyannote[21].end 74.33159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 75.14159375
transcript.pyannote[22].end 78.01034375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 78.58409375
transcript.pyannote[23].end 80.44034375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 81.18284375
transcript.pyannote[24].end 84.45659375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 86.19471875
transcript.pyannote[25].end 94.76721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 95.99909375
transcript.pyannote[26].end 96.85971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 97.24784375
transcript.pyannote[27].end 99.01971875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 99.94784375
transcript.pyannote[28].end 101.11221875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 102.22596875
transcript.pyannote[29].end 105.04409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 105.87096875
transcript.pyannote[30].end 108.14909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 109.22909375
transcript.pyannote[31].end 111.74346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 112.45221875
transcript.pyannote[32].end 114.24096875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 114.37596875
transcript.pyannote[33].end 120.53534375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 120.87284375
transcript.pyannote[34].end 130.50846875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 130.93034375
transcript.pyannote[35].end 156.69846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 157.03596875
transcript.pyannote[36].end 158.18346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 158.28471875
transcript.pyannote[37].end 159.53346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 159.98909375
transcript.pyannote[38].end 161.98034375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 162.70596875
transcript.pyannote[39].end 163.93784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 164.39346875
transcript.pyannote[40].end 165.45659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 165.84471875
transcript.pyannote[41].end 173.65784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 172.40909375
transcript.pyannote[42].end 172.81409375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 173.65784375
transcript.pyannote[43].end 173.77596875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 173.77596875
transcript.pyannote[44].end 178.12971875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 178.12971875
transcript.pyannote[45].end 178.83846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 178.83846875
transcript.pyannote[46].end 178.85534375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 178.93971875
transcript.pyannote[47].end 180.08721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 180.34034375
transcript.pyannote[48].end 183.37784375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 183.37784375
transcript.pyannote[49].end 265.39034375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 263.92221875
transcript.pyannote[50].end 264.22596875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 265.39034375
transcript.pyannote[51].end 265.89659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 265.44096875
transcript.pyannote[52].end 265.82909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 265.89659375
transcript.pyannote[53].end 266.25096875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 266.97659375
transcript.pyannote[54].end 280.47659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 279.76784375
transcript.pyannote[55].end 281.75909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 281.80971875
transcript.pyannote[56].end 281.97846875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 281.97846875
transcript.pyannote[57].end 282.02909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 282.02909375
transcript.pyannote[58].end 282.14721875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 282.26534375
transcript.pyannote[59].end 290.88846875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 286.34909375
transcript.pyannote[60].end 287.36159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 291.71534375
transcript.pyannote[61].end 292.40721875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 293.04846875
transcript.pyannote[62].end 294.07784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 294.78659375
transcript.pyannote[63].end 301.85721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 302.26221875
transcript.pyannote[64].end 303.22409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 304.01721875
transcript.pyannote[65].end 304.74284375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 309.01221875
transcript.pyannote[66].end 316.55534375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 317.16284375
transcript.pyannote[67].end 320.36909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 320.84159375
transcript.pyannote[68].end 322.02284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 322.44471875
transcript.pyannote[69].end 325.19534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 326.42721875
transcript.pyannote[70].end 327.33846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 327.59159375
transcript.pyannote[71].end 331.06784375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 331.84409375
transcript.pyannote[72].end 333.44721875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 334.10534375
transcript.pyannote[73].end 335.06721875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 335.40471875
transcript.pyannote[74].end 338.29034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 338.83034375
transcript.pyannote[75].end 353.14034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 353.79846875
transcript.pyannote[76].end 358.11846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 358.13534375
transcript.pyannote[77].end 360.02534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 360.34596875
transcript.pyannote[78].end 366.77534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 367.04534375
transcript.pyannote[79].end 367.88909375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 368.29409375
transcript.pyannote[80].end 370.28534375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 370.90971875
transcript.pyannote[81].end 371.60159375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 371.09534375
transcript.pyannote[82].end 371.26409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 371.93909375
transcript.pyannote[83].end 376.93409375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 377.77784375
transcript.pyannote[84].end 378.14909375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 378.70596875
transcript.pyannote[85].end 380.37659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 381.20346875
transcript.pyannote[86].end 381.54096875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 381.92909375
transcript.pyannote[87].end 383.29596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 384.29159375
transcript.pyannote[88].end 385.65846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 386.06346875
transcript.pyannote[89].end 387.95346875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 388.93221875
transcript.pyannote[90].end 390.82221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 390.60284375
transcript.pyannote[91].end 391.51409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 392.00346875
transcript.pyannote[92].end 392.25659375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 392.49284375
transcript.pyannote[93].end 396.55971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 397.06596875
transcript.pyannote[94].end 397.67346875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 397.67346875
transcript.pyannote[95].end 397.69034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 397.69034375
transcript.pyannote[96].end 397.80846875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 397.80846875
transcript.pyannote[97].end 398.56784375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 398.56784375
transcript.pyannote[98].end 398.58471875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 398.58471875
transcript.pyannote[99].end 398.60159375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 398.90534375
transcript.pyannote[100].end 404.76096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 405.18284375
transcript.pyannote[101].end 406.33034375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 407.44409375
transcript.pyannote[102].end 409.62096875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 410.17784375
transcript.pyannote[103].end 410.97096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 411.79784375
transcript.pyannote[104].end 412.82721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 412.82721875
transcript.pyannote[105].end 413.43471875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 413.46846875
transcript.pyannote[106].end 414.53159375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 414.16034375
transcript.pyannote[107].end 414.73409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 414.97034375
transcript.pyannote[108].end 415.49346875
transcript.whisperx[0].start 8.371
transcript.whisperx[0].end 26.292
transcript.whisperx[0].text 主席 各位委員有請國家通訊傳播委員會陳主委好 陳代主委還有數位發展部林次長好 數位部林次長好 大家辛苦了
transcript.whisperx[1].start 29.396
transcript.whisperx[1].end 56.105
transcript.whisperx[1].text 這個天下雜誌在2023年的一個報導這個台灣為以開發國家備詐金額最高的國家以網路電信這方面的一個詐騙然後這個監察院在去年也通過了政府防制電信網路詐欺這個是相關的這些詐欺案
transcript.whisperx[2].start 57.021
transcript.whisperx[2].end 80.272
transcript.whisperx[2].text 嚴重這個非常的也提出這個相關的對策跟檢討這裡面特別提到詐騙國安危機全國招詐500億這樣的一個非常嚴重所以相關這些當然打詐司法也通過了但是並沒有遏止這些詐騙的這個案件
transcript.whisperx[3].start 86.443
transcript.whisperx[3].end 114.026
transcript.whisperx[3].text 近五年詐欺案件不斷的升高剛提到去年502.5億所以這裡面相關這樣的一個案例層出不窮所以先請教國家通訊傳播委員會到底政府有什麼樣的就連NCC有什麼樣的因應措施
transcript.whisperx[4].start 114.511
transcript.whisperx[4].end 128.647
transcript.whisperx[4].text 是的根本包括政府是這個團隊的合作施炸、堵炸、防炸、懲炸是由五個部會來處理NCC是負責堵炸這一塊我們主要是攔阻這個
transcript.whisperx[5].start 131.47
transcript.whisperx[5].end 156.525
transcript.whisperx[5].text 異常的電話還有跟簡訊那電話部分大概這邊的成效大概都已經出來所以他們都轉移到其他地方簡訊的部分特別是商業簡訊這邊我們大概去年9月10月開始推以來那目前的成效大概去年10月到今年1月件數被通報165通報件數都是零但是他大概就轉移到比較偏網路那一塊那這邊我們都會持續協同相關部分來努力
transcript.whisperx[6].start 157.405
transcript.whisperx[6].end 183.07
transcript.whisperx[6].text 這個主詐這是最重要的怎麼樣讓這個人民不要受到這個詐騙所以這個主詐很重要是所以這個部分這個要去持續的繼續的去加強是你剛剛說有這個成效書面的資料提供好沒問題那個數位發展部你們有什麼樣因應的
transcript.whisperx[7].start 183.49
transcript.whisperx[7].end 212.656
transcript.whisperx[7].text 是 在反詐方面數位發展部的職責主要是要避免民眾在Facebook Google以及Line這樣的社群平台上面被騙到一個私訊裡面通常詐騙集團它事實上是有一個產業鏈的剛開始會在Facebook Google或者是Twitter上面講說我是謝金河我賺了很多錢希望你加入我的群組這個時候他就把人騙到一個
transcript.whisperx[8].start 213.416
transcript.whisperx[8].end 240.821
transcript.whisperx[8].text 那個小房間裡面那我們速發布就是要避免民眾被騙進去那我們的具體作為有分成兩部分第一個是法律方面法律方面我們非常感謝那個立法院在去年我們通過了打詐專法那從今年的1月開始不管是Facebook Line或者是在Google上面所有的廣告都必須採取實名制我們就確定說只有謝金河本人才能那個發廣告說他是謝金河
transcript.whisperx[9].start 241.321
transcript.whisperx[9].end 265.905
transcript.whisperx[9].text 那另外一方面我們是透過那個簡訊以及那個我們的網站通告查詢網的方式我們就是想辦法把盡快的把這些仿冒名人還有假投資的詐騙想辦法讓他盡快的下架那我們跟那個Facebook跟Line跟那個Google也都建立很好的溝通管道我們可以在很快的時間裡面把這些詐騙訊息下架有成效嗎
transcript.whisperx[10].start 267.445
transcript.whisperx[10].end 293.936
transcript.whisperx[10].text 是 那個我想委員我們可以注意到就是說現在在Facebook上面譬如說假冒那個謝金和假冒陳文茜這一類的廣告已經大幅下降了這個我想那個很多人都注意到媒體也有報導這個部分這兩個機關要加油要加強這個因為我們在整個所了解到的是都是警察在忙啊
transcript.whisperx[11].start 295.247
transcript.whisperx[11].end 316.125
transcript.whisperx[11].text 警察非常忙,忙著這個,這個都是一個需要去加強的部分所以今天呢,這個今天的幾個電信管理法的一個修正非常非常的有它的必要性
transcript.whisperx[12].start 318.094
transcript.whisperx[12].end 333.23
transcript.whisperx[12].text 這個以NCC的報告裡面這個還要期待行政院提出修法草案事實上立委已經提出了修法的草案到底要怎麼樣會更好
transcript.whisperx[13].start 334.161
transcript.whisperx[13].end 359.899
transcript.whisperx[13].text 你們直接在審查會的時候就提出來不必等到行政院的這個法案因為這個是迫不及待的一個需要去解決的部分所以這個部分要請這個NCC這邊如果相關的法案如果條文認為可以怎麼樣修會更好這個是因為大家都可以共同的來去審查好的我們會一起努力
transcript.whisperx[14].start 360.95
transcript.whisperx[14].end 387.688
transcript.whisperx[14].text 這個NCC最後你的經費凍結案什麼時候可以送解凍報告我們盡快因為還在程序中我們會盡快這個1月20幾號立法院就三讀通過了這個預算案就應該先準備好了總統在3月公告了這個預算案應該就可以送來了為什麼不能送來
transcript.whisperx[15].start 388.968
transcript.whisperx[15].end 413.811
transcript.whisperx[15].text 好 我們會盡快 謝謝委員什麼叫盡快就是我們完成 該有程序之後就會送出這很容易啊 照理應該1月20幾號三讀通過應該就準備好了就應該就可以 現在已經四月了呢這個過去三月就開始審查解凍案了呢 好不好好 沒問題 好 謝謝謝謝委員