iVOD / 164525

Field Value
IVOD_ID 164525
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164525
日期 2025-10-22
影片種類 Clip
開始時間 2025-10-22T10:02:14+08:00
結束時間 2025-10-22T10:09:44+08:00
影片長度 00:07:30
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/615807a88c5be4da90a808d1e2c1d1bfc0c14dc0092bf1ba83c966d97180d5d2a26d91266f61260a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 10:02:14 - 10:09:44
會議時間 2025-10-22T09:00:00+08:00
會議名稱 3.黃被提名人葳威-立法院第11屆第4會期交通、教育及文化委員會第1次聯席會議(事由:審查行政院函送國家通訊傳播委員會委員提名名單,蔣榮先為委員並為主任委員,程明修為委員並為副主任委員,黃葳威及羅慧雯均為委員,請同意案。 【10月20日(星期一)依序分別審查蔣被提名人榮先、程被提名人明修;10月22日(星期三)依序分別審查黃被提名人葳威、羅被提名人慧雯。】 【10月20日及22日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 7.74284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.04284375
transcript.pyannote[1].end 5.39721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 16.21409375
transcript.pyannote[2].end 16.63596875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 17.29409375
transcript.pyannote[3].end 17.78346875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.47096875
transcript.pyannote[4].end 21.31034375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 21.86721875
transcript.pyannote[5].end 23.60534375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 24.36471875
transcript.pyannote[6].end 25.63034375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 26.00159375
transcript.pyannote[7].end 26.03534375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 26.10284375
transcript.pyannote[8].end 30.59159375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 31.14846875
transcript.pyannote[9].end 32.61659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 33.32534375
transcript.pyannote[10].end 35.01284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 35.63721875
transcript.pyannote[11].end 40.24409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 41.03721875
transcript.pyannote[12].end 42.64034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 43.06221875
transcript.pyannote[13].end 45.10409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 45.40784375
transcript.pyannote[14].end 46.25159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 46.74096875
transcript.pyannote[15].end 48.64784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 49.42409375
transcript.pyannote[16].end 50.85846875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 51.55034375
transcript.pyannote[17].end 53.44034375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 54.40221875
transcript.pyannote[18].end 55.39784375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 56.02221875
transcript.pyannote[19].end 60.73034375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 61.28721875
transcript.pyannote[20].end 69.91034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 70.36596875
transcript.pyannote[21].end 71.61471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 72.69471875
transcript.pyannote[22].end 73.35284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 74.41596875
transcript.pyannote[23].end 76.67721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 77.87534375
transcript.pyannote[24].end 81.36846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 81.46971875
transcript.pyannote[25].end 85.06409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 85.67159375
transcript.pyannote[26].end 90.75096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 91.25721875
transcript.pyannote[27].end 91.64534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 91.93221875
transcript.pyannote[28].end 93.34971875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 93.83909375
transcript.pyannote[29].end 100.52159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 100.87596875
transcript.pyannote[30].end 102.47909375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 102.93471875
transcript.pyannote[31].end 110.54534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 111.13596875
transcript.pyannote[32].end 113.12721875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 113.48159375
transcript.pyannote[33].end 114.22409375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 114.98346875
transcript.pyannote[34].end 117.43034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 117.71721875
transcript.pyannote[35].end 125.42909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 126.00284375
transcript.pyannote[36].end 127.28534375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 127.94346875
transcript.pyannote[37].end 135.35159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 135.50346875
transcript.pyannote[38].end 137.54534375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 137.66346875
transcript.pyannote[39].end 143.72159375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 144.66659375
transcript.pyannote[40].end 148.90221875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 149.22284375
transcript.pyannote[41].end 150.58971875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 150.96096875
transcript.pyannote[42].end 154.57221875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 154.94346875
transcript.pyannote[43].end 155.68596875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 155.88846875
transcript.pyannote[44].end 156.85034375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 157.52534375
transcript.pyannote[45].end 164.52846875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 166.36784375
transcript.pyannote[46].end 178.26471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 178.63596875
transcript.pyannote[47].end 180.61034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 180.88034375
transcript.pyannote[48].end 181.30221875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 181.43721875
transcript.pyannote[49].end 182.98971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 183.36096875
transcript.pyannote[50].end 184.99784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 185.80784375
transcript.pyannote[51].end 187.03971875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 187.88346875
transcript.pyannote[52].end 188.67659375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 189.28409375
transcript.pyannote[53].end 190.27971875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 190.61721875
transcript.pyannote[54].end 192.76034375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 193.36784375
transcript.pyannote[55].end 197.85659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 198.16034375
transcript.pyannote[56].end 200.15159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 201.07971875
transcript.pyannote[57].end 202.17659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 202.49721875
transcript.pyannote[58].end 204.57284375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 204.65721875
transcript.pyannote[59].end 211.60971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 204.97784375
transcript.pyannote[60].end 204.99471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 211.93034375
transcript.pyannote[61].end 214.57971875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 213.09471875
transcript.pyannote[62].end 213.29721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 214.84971875
transcript.pyannote[63].end 217.95471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 218.20784375
transcript.pyannote[64].end 223.03409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 223.13534375
transcript.pyannote[65].end 229.31159375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 228.23159375
transcript.pyannote[66].end 228.75471875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 229.68284375
transcript.pyannote[67].end 238.12034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 238.25534375
transcript.pyannote[68].end 242.47409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 242.76096875
transcript.pyannote[69].end 246.97971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 247.11471875
transcript.pyannote[70].end 249.83159375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 250.10159375
transcript.pyannote[71].end 259.63596875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 259.80471875
transcript.pyannote[72].end 289.72409375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 289.48784375
transcript.pyannote[73].end 294.12846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 294.85409375
transcript.pyannote[74].end 296.38971875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 297.25034375
transcript.pyannote[75].end 299.02221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 300.03471875
transcript.pyannote[76].end 301.30034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 301.89096875
transcript.pyannote[77].end 302.27909375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 303.07221875
transcript.pyannote[78].end 305.68784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 306.19409375
transcript.pyannote[79].end 308.74221875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 308.91096875
transcript.pyannote[80].end 311.84721875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 312.58971875
transcript.pyannote[81].end 316.18409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 316.25159375
transcript.pyannote[82].end 317.19659375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 317.71971875
transcript.pyannote[83].end 321.22971875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 321.29721875
transcript.pyannote[84].end 324.40221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 322.81596875
transcript.pyannote[85].end 323.11971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 324.82409375
transcript.pyannote[86].end 326.69721875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 327.27096875
transcript.pyannote[87].end 329.66721875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 330.35909375
transcript.pyannote[88].end 338.93159375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 339.47159375
transcript.pyannote[89].end 341.34471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 341.91846875
transcript.pyannote[90].end 343.65659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 343.96034375
transcript.pyannote[91].end 354.70971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 355.13159375
transcript.pyannote[92].end 355.68846875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 356.22846875
transcript.pyannote[93].end 375.46596875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 374.23409375
transcript.pyannote[94].end 376.83284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 377.28846875
transcript.pyannote[95].end 398.28096875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 394.19721875
transcript.pyannote[96].end 394.60221875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 395.63159375
transcript.pyannote[97].end 395.73284375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 398.39909375
transcript.pyannote[98].end 398.82096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 398.87159375
transcript.pyannote[99].end 402.75284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 403.22534375
transcript.pyannote[100].end 403.95096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 404.25471875
transcript.pyannote[101].end 405.21659375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 405.89159375
transcript.pyannote[102].end 407.17409375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 407.19096875
transcript.pyannote[103].end 407.71409375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 408.00096875
transcript.pyannote[104].end 419.61096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 420.11721875
transcript.pyannote[105].end 424.99409375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 424.99409375
transcript.pyannote[106].end 425.46659375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 425.46659375
transcript.pyannote[107].end 426.98534375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 427.60971875
transcript.pyannote[108].end 432.11534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 432.73971875
transcript.pyannote[109].end 433.16159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 433.63409375
transcript.pyannote[110].end 435.27096875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 436.46909375
transcript.pyannote[111].end 437.59971875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 437.90346875
transcript.pyannote[112].end 441.02534375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 441.71721875
transcript.pyannote[113].end 445.53096875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 446.12159375
transcript.pyannote[114].end 448.12971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 448.24784375
transcript.pyannote[115].end 449.29409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 449.91846875
transcript.pyannote[116].end 451.11659375
transcript.whisperx[0].start 0.069
transcript.whisperx[0].end 7.634
transcript.whisperx[0].text 主席 本席邀請我們NCC委員被提名人黃薇薇請黃被提名人早安
transcript.whisperx[1].start 20.486
transcript.whisperx[1].end 32.221
transcript.whisperx[1].text 這個我剛看這前面看一下委員的的那個資歷大概我們NCC的委員很久很久沒有專長是傳播的委員被提名的
transcript.whisperx[2].start 33.413
transcript.whisperx[2].end 51.598
transcript.whisperx[2].text 所以我想今天也跟委員請教如果既然您的專長是在傳播第一個我想跟你請教這個台灣目前的那個OTT的相關問題我們的影音串流平台因為根據文化部內容測鏡院的統計
transcript.whisperx[3].start 54.811
transcript.whisperx[3].end 76.417
transcript.whisperx[3].text 這幾年來電視和ODT平台使用的趨勢現在看電視的人的頻率從2020年的將近七成69.6%跌到了2023年短短四年跌到了44不到一半所以說下跌的趨勢非常快
transcript.whisperx[4].start 78.593
transcript.whisperx[4].end 90.575
transcript.whisperx[4].text 影音串流收看OTT的則從2020年的三成31.2快速四年內2023年就上升到將近六成
transcript.whisperx[5].start 93.926
transcript.whisperx[5].end 113.586
transcript.whisperx[5].text 58.9%不只是黃金交叉啦這簡直是火箭般的一個是快速的墜落一個是快速的竄升所以未來的OTT的相關問題以及它會對月聽人的影響絕對是會越來越大所以我也看一下那個
transcript.whisperx[6].start 115.126
transcript.whisperx[6].end 142.999
transcript.whisperx[6].text 我們未來的黃委員你對這些事情的看法因為你自己也有寫我看你的報告給我們立委參考的時候你也特別寫到我只是想就教你一個問題第一個2015年美國的特別301的報告裡面就有指出包括台灣在內大部分都是東南亞的國家中國 印尼 馬來西亞 泰國 越南還有台灣就出現基上和侵權的問題
transcript.whisperx[7].start 145.385
transcript.whisperx[7].end 162.705
transcript.whisperx[7].text 幾乎都是東南亞國家全部都看盜版的所謂寄上盒那會買寄上盒的人我相信很多人主要都是為了看免費的影音內容然後這是2015年美國第一次301特別條款把我們把台灣列進來到2023年
transcript.whisperx[8].start 166.394
transcript.whisperx[8].end 188.442
transcript.whisperx[8].text 美國仍然把台灣給列進去其中美國的報告寫說在全球存在許多非法的IPTV應該就是計算盒這些都是為了要賺錢為目的其中台灣也是其中之一所以台灣大概不斷地在這方面這個其實是
transcript.whisperx[9].start 191.314
transcript.whisperx[9].end 213.732
transcript.whisperx[9].text 這等於是一個國際醜聞那數位計算盒目前我們把它當作一個射頻的硬體我們只是檢驗它的這個硬體至於它的內容我們並沒有辦法查驗所以它裡面都是假的都是盜版的我們也沒有無法目前看起來好像是無法可管不曉得您對這個問題的看法
transcript.whisperx[10].start 216.153
transcript.whisperx[10].end 236.893
transcript.whisperx[10].text 我記得在電信管理法當中前一次三讀通過了有關於網路的那個接取方面在科技上面的一個修正需要做登記那另外就是因為之前也協助一些的媒體的創作者去爭取這當中被盜版的問題
transcript.whisperx[11].start 238.394
transcript.whisperx[11].end 253.122
transcript.whisperx[11].text 所以我覺得智慧財產權是非常重要當然這個部分還需要經濟部制裁局一起來參與關心這個很重要因為他不是只有NCC做包含速發部還有整個的制裁局的這一塊那甚至警政署進來
transcript.whisperx[12].start 254.042
transcript.whisperx[12].end 276.855
transcript.whisperx[12].text 如果是涉及到我們所擔心的一些風險的話那我個人是認為說比如說我們講到我們與二的距離他在第一季的時候是跟國際的OT平台合作可是他在這一季做得也很好他是跟國內的OTT平台合作所以我希望說如果我們要在這個當中納入法規的時候我們一定要公平境內境外需要一致
transcript.whisperx[13].start 277.435
transcript.whisperx[13].end 300.804
transcript.whisperx[13].text 那不要去扼殺了境內可能的一個機會但是我們又要讓境外不要來干擾我們所以這個部分還是一樣要遵循多方利益關係人的意見所以委員你講的就是網際網路視聽服務法你講的是這個草案的但很可惜這個法案目前並沒有還沒有通過
transcript.whisperx[14].start 303.14
transcript.whisperx[14].end 326.534
transcript.whisperx[14].text 所以未來你擔任委員的時候我想你應該要來推動台灣要來通過這種網際網路視聽服務法其中有一個爭議點就是境外的大型平台怎麼處理境外世界最出名的Netflix或像中國的騰訊 愛奇藝對於這些的管理 你的看法
transcript.whisperx[15].start 327.455
transcript.whisperx[15].end 354.408
transcript.whisperx[15].text 報告委員其實我們有一位參與的一位老師有特別講到說事實上Netflix他在美國現在一直想要轉手抖售沒有人要買那其實台灣在引進過去電視的時候我們原來已經彩色電視機國外出來但是台灣先被侵入了黑白電視機然後隔了幾年我們才進入到彩色電視機時代所以我非常的抗拒
transcript.whisperx[16].start 355.188
transcript.whisperx[16].end 384.103
transcript.whisperx[16].text 一些先進的國家雖然我們現在也是先進國家他把他已經要淘汰的一些科技或是服務丟回台灣我覺得這個部分是絕對抗拒的因此怎麼樣去健全台灣的產業秩序甚至給我們的產業有一個更好的發展空間我覺得這個是問題是這些國這些境外的OTD在台灣他有很多的訂閱者有很多的消費者但如果發生了問題
transcript.whisperx[17].start 385.063
transcript.whisperx[17].end 405.024
transcript.whisperx[17].text 发生了消费纠纷因为这些公司根本在台湾都没有落地包括Netflix也一样你现在打它的客服都是海外的电话我要讲的是说是这个部分的问题那你没有办法它现在确实存在它没有落地还是存在那政府怎么管理
transcript.whisperx[18].start 405.956
transcript.whisperx[18].end 434.866
transcript.whisperx[18].text 跨經業者在地化對我記得你的主張是要在地化他應該要落地來申請落地申請以後那我們怎麼樣來處理相關的問題包括他的內容其實很多我們也擔心的是有包括涉及中共統戰的一些內容的疑慮是不是所以這個部分我希望在未來的網際網路的這個服務法裡面可以有相關的一些
transcript.whisperx[19].start 436.496
transcript.whisperx[19].end 450.391
transcript.whisperx[19].text 的條文的規範啦能夠來處理相關的問題那樣你的看法呢你覺得呢我贊成也希望委員要派代表來一起發言參與好謝謝你啦好好謝謝主席好謝謝您