iVOD / 166215

Field Value
IVOD_ID 166215
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166215
日期 2025-12-08
會議資料.會議代碼 委員會-11-4-23-10
會議資料.會議代碼:str 第11屆第4會期交通委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 10
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4會期交通委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-12-08T10:02:19+08:00
結束時間 2025-12-08T10:13:20+08:00
影片長度 00:11:01
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e238918248e277b35508adb7766dd574b5dd3a7969bdec96dc54cac4b90edbf564a5fa53d23552a65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 許智傑
委員發言時間 10:02:19 - 10:13:20
會議時間 2025-12-08T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第10次全體委員會議(事由:審查一、委員羅智強等55人、二、台灣民眾黨黨團及三、委員翁曉玲等24人分別擬具「衛星廣播電視法部分條文修正草案」案、四、委員陳雪生等23人及五、委員傅崐萁等24人分別擬具「衛星廣播電視法第五條條文修正草案」案、六、委員葉元之等22人擬具「衛星廣播電視法第十一條條文修正草案」案、七、委員翁曉玲等16人擬具「衛星廣播電視法刪除第五十條條文草案」案、八、委員許智傑等27人及九、委員洪孟楷等22人分別擬具「衛星廣播電視法第六十四條條文修正草案」案。 【本次會議僅進行詢答】 【12月8日及10日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.42721875
transcript.pyannote[0].end 4.80659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 2.51159375
transcript.pyannote[1].end 2.54534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.05534375
transcript.pyannote[2].end 7.10159375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 11.32034375
transcript.pyannote[3].end 11.86034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 12.73784375
transcript.pyannote[4].end 13.46346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 14.88096875
transcript.pyannote[5].end 19.15034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 20.34846875
transcript.pyannote[6].end 21.39471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 22.93034375
transcript.pyannote[7].end 26.01846875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 27.03096875
transcript.pyannote[8].end 29.52846875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 29.69721875
transcript.pyannote[9].end 29.91659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 30.25409375
transcript.pyannote[10].end 33.47721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 34.15221875
transcript.pyannote[11].end 36.07596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 35.31659375
transcript.pyannote[12].end 36.17721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 36.56534375
transcript.pyannote[13].end 38.25284375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 38.25284375
transcript.pyannote[14].end 40.69971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 41.72909375
transcript.pyannote[15].end 43.31534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 43.31534375
transcript.pyannote[16].end 43.73721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 45.40784375
transcript.pyannote[17].end 49.06971875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 49.15409375
transcript.pyannote[18].end 51.02721875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 51.02721875
transcript.pyannote[19].end 51.29721875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 51.66846875
transcript.pyannote[20].end 53.81159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 54.80721875
transcript.pyannote[21].end 56.39346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 56.61284375
transcript.pyannote[22].end 57.10221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 57.47346875
transcript.pyannote[23].end 59.31284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 59.98784375
transcript.pyannote[24].end 61.25346875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 62.62034375
transcript.pyannote[25].end 63.41346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 63.80159375
transcript.pyannote[26].end 65.21909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 66.40034375
transcript.pyannote[27].end 67.12596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 67.59846875
transcript.pyannote[28].end 70.16346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 69.43784375
transcript.pyannote[29].end 71.20971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 72.12096875
transcript.pyannote[30].end 74.01096875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 74.73659375
transcript.pyannote[31].end 76.12034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 76.55909375
transcript.pyannote[32].end 77.68971875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 78.71909375
transcript.pyannote[33].end 80.18721875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 80.98034375
transcript.pyannote[34].end 80.99721875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 80.99721875
transcript.pyannote[35].end 81.48659375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 81.79034375
transcript.pyannote[36].end 83.52846875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 85.03034375
transcript.pyannote[37].end 87.67971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 89.31659375
transcript.pyannote[38].end 94.86846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 96.23534375
transcript.pyannote[39].end 101.09534375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 102.00659375
transcript.pyannote[40].end 103.49159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 104.21721875
transcript.pyannote[41].end 106.19159375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 107.76096875
transcript.pyannote[42].end 114.64596875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 116.35034375
transcript.pyannote[43].end 120.26534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 120.72096875
transcript.pyannote[44].end 122.94846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 123.74159375
transcript.pyannote[45].end 124.56846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 126.12096875
transcript.pyannote[46].end 130.86284375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 132.28034375
transcript.pyannote[47].end 135.95909375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 136.27971875
transcript.pyannote[48].end 136.29659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 136.29659375
transcript.pyannote[49].end 136.61721875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 136.61721875
transcript.pyannote[50].end 136.66784375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 137.39346875
transcript.pyannote[51].end 139.30034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 139.57034375
transcript.pyannote[52].end 140.29596875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 139.87409375
transcript.pyannote[53].end 141.30846875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 141.40971875
transcript.pyannote[54].end 144.93659375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 145.72971875
transcript.pyannote[55].end 147.87284375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 148.00784375
transcript.pyannote[56].end 149.81346875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 150.37034375
transcript.pyannote[57].end 151.45034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 151.45034375
transcript.pyannote[58].end 155.68596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 155.48346875
transcript.pyannote[59].end 157.84596875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 159.16221875
transcript.pyannote[60].end 161.79471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 162.46971875
transcript.pyannote[61].end 177.25221875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 177.30284375
transcript.pyannote[62].end 177.35346875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 177.35346875
transcript.pyannote[63].end 180.15471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 177.38721875
transcript.pyannote[64].end 177.85971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 180.93096875
transcript.pyannote[65].end 182.34846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 182.87159375
transcript.pyannote[66].end 185.26784375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 185.79096875
transcript.pyannote[67].end 187.96784375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 187.96784375
transcript.pyannote[68].end 188.45721875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 189.14909375
transcript.pyannote[69].end 189.38534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 190.12784375
transcript.pyannote[70].end 191.22471875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 192.01784375
transcript.pyannote[71].end 194.88659375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 195.78096875
transcript.pyannote[72].end 199.54409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 198.88596875
transcript.pyannote[73].end 200.20221875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 200.20221875
transcript.pyannote[74].end 201.73784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 201.85596875
transcript.pyannote[75].end 212.62221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 212.33534375
transcript.pyannote[76].end 218.95034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 218.29221875
transcript.pyannote[77].end 222.91596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 223.18596875
transcript.pyannote[78].end 227.15159375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 227.75909375
transcript.pyannote[79].end 236.28096875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 229.00784375
transcript.pyannote[80].end 230.67846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 236.95596875
transcript.pyannote[81].end 239.57159375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 239.95971875
transcript.pyannote[82].end 241.49534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 242.06909375
transcript.pyannote[83].end 243.95909375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 244.14471875
transcript.pyannote[84].end 245.37659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 245.69721875
transcript.pyannote[85].end 246.28784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 245.83221875
transcript.pyannote[86].end 245.84909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 245.86596875
transcript.pyannote[87].end 245.96721875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 246.28784375
transcript.pyannote[88].end 246.79409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 246.79409375
transcript.pyannote[89].end 246.94596875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 247.16534375
transcript.pyannote[90].end 248.22846875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 248.97096875
transcript.pyannote[91].end 252.49784375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 253.59471875
transcript.pyannote[92].end 254.80971875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 255.04596875
transcript.pyannote[93].end 256.32846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 257.00346875
transcript.pyannote[94].end 270.82409375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 271.26284375
transcript.pyannote[95].end 273.40596875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 273.76034375
transcript.pyannote[96].end 276.12284375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 276.71346875
transcript.pyannote[97].end 278.19846875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 278.83971875
transcript.pyannote[98].end 283.66596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 283.93596875
transcript.pyannote[99].end 287.83409375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 288.47534375
transcript.pyannote[100].end 290.41596875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 290.70284375
transcript.pyannote[101].end 291.85034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 292.76159375
transcript.pyannote[102].end 293.74034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 293.74034375
transcript.pyannote[103].end 294.60096875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 294.60096875
transcript.pyannote[104].end 294.92159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 295.30971875
transcript.pyannote[105].end 298.44846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 299.17409375
transcript.pyannote[106].end 299.68034375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 300.01784375
transcript.pyannote[107].end 302.44784375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 302.86971875
transcript.pyannote[108].end 317.41596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 315.76221875
transcript.pyannote[109].end 318.54659375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 319.32284375
transcript.pyannote[110].end 322.81596875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 322.91721875
transcript.pyannote[111].end 322.95096875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 322.95096875
transcript.pyannote[112].end 322.98471875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 322.98471875
transcript.pyannote[113].end 325.16159375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 325.43159375
transcript.pyannote[114].end 327.57471875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 328.16534375
transcript.pyannote[115].end 330.20721875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 330.84846875
transcript.pyannote[116].end 332.21534375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 332.55284375
transcript.pyannote[117].end 383.97096875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 376.54596875
transcript.pyannote[118].end 376.96784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 377.82846875
transcript.pyannote[119].end 378.21659375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 383.58284375
transcript.pyannote[120].end 386.08034375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 386.95784375
transcript.pyannote[121].end 388.86471875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 388.96596875
transcript.pyannote[122].end 392.10471875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 390.85596875
transcript.pyannote[123].end 391.26096875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 392.29034375
transcript.pyannote[124].end 396.96471875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 397.50471875
transcript.pyannote[125].end 399.07409375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 399.69846875
transcript.pyannote[126].end 400.98096875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 401.18346875
transcript.pyannote[127].end 401.60534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 401.77409375
transcript.pyannote[128].end 405.72284375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 406.58346875
transcript.pyannote[129].end 408.27096875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 408.70971875
transcript.pyannote[130].end 409.80659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 411.61221875
transcript.pyannote[131].end 415.40909375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 415.91534375
transcript.pyannote[132].end 418.76721875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 419.35784375
transcript.pyannote[133].end 423.74534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 424.67346875
transcript.pyannote[134].end 425.01096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 425.46659375
transcript.pyannote[135].end 426.85034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 427.57596875
transcript.pyannote[136].end 430.39409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 431.96346875
transcript.pyannote[137].end 435.43971875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 431.99721875
transcript.pyannote[138].end 432.36846875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 435.55784375
transcript.pyannote[139].end 439.30409375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 438.96659375
transcript.pyannote[140].end 450.67784375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 446.98221875
transcript.pyannote[141].end 448.14659375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 450.88034375
transcript.pyannote[142].end 456.51659375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 456.83721875
transcript.pyannote[143].end 457.17471875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 457.54596875
transcript.pyannote[144].end 462.50721875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 463.33409375
transcript.pyannote[145].end 465.15659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 465.76409375
transcript.pyannote[146].end 466.79346875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 467.35034375
transcript.pyannote[147].end 471.58596875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 472.58159375
transcript.pyannote[148].end 473.18909375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 472.68284375
transcript.pyannote[149].end 491.00909375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 476.68221875
transcript.pyannote[150].end 476.78346875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 476.91846875
transcript.pyannote[151].end 477.00284375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 491.41409375
transcript.pyannote[152].end 493.05096875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 493.52346875
transcript.pyannote[153].end 498.56909375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 498.80534375
transcript.pyannote[154].end 503.86784375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 503.98596875
transcript.pyannote[155].end 506.23034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 507.00659375
transcript.pyannote[156].end 551.32034375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 514.71846875
transcript.pyannote[157].end 517.16534375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 549.27846875
transcript.pyannote[158].end 549.78471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 550.67909375
transcript.pyannote[159].end 554.10471875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 554.30721875
transcript.pyannote[160].end 555.25221875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 555.38721875
transcript.pyannote[161].end 558.22221875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 558.22221875
transcript.pyannote[162].end 558.62721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 558.28971875
transcript.pyannote[163].end 559.13346875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 558.66096875
transcript.pyannote[164].end 561.17534375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 560.90534375
transcript.pyannote[165].end 562.55909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 562.28909375
transcript.pyannote[166].end 562.82909375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 562.82909375
transcript.pyannote[167].end 562.84596875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 562.99784375
transcript.pyannote[168].end 567.99284375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 568.56659375
transcript.pyannote[169].end 581.52659375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 580.95284375
transcript.pyannote[170].end 582.64034375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 583.09596875
transcript.pyannote[171].end 583.68659375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 583.95659375
transcript.pyannote[172].end 588.96846875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 587.90534375
transcript.pyannote[173].end 591.56721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 591.61784375
transcript.pyannote[174].end 593.94659375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 594.04784375
transcript.pyannote[175].end 595.14471875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 595.14471875
transcript.pyannote[176].end 595.85346875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 595.85346875
transcript.pyannote[177].end 599.86971875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 596.32596875
transcript.pyannote[178].end 596.86596875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 601.05096875
transcript.pyannote[179].end 605.64096875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 606.21471875
transcript.pyannote[180].end 608.59409375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 608.59409375
transcript.pyannote[181].end 610.33221875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 610.78784375
transcript.pyannote[182].end 612.47534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 612.55971875
transcript.pyannote[183].end 613.53846875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 612.93096875
transcript.pyannote[184].end 616.50846875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 617.23409375
transcript.pyannote[185].end 619.14096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 619.52909375
transcript.pyannote[186].end 622.12784375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 622.49909375
transcript.pyannote[187].end 632.60721875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 632.99534375
transcript.pyannote[188].end 635.93159375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 636.11721875
transcript.pyannote[189].end 638.46284375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 638.34471875
transcript.pyannote[190].end 638.98596875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 638.93534375
transcript.pyannote[191].end 639.18846875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 639.18846875
transcript.pyannote[192].end 639.20534375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 639.30659375
transcript.pyannote[193].end 641.61846875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 640.15034375
transcript.pyannote[194].end 640.65659375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 642.00659375
transcript.pyannote[195].end 644.85846875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 645.26346875
transcript.pyannote[196].end 649.34721875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 649.63409375
transcript.pyannote[197].end 654.20721875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 654.74721875
transcript.pyannote[198].end 655.40534375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 655.40534375
transcript.pyannote[199].end 656.16471875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 656.16471875
transcript.pyannote[200].end 656.78909375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 656.62034375
transcript.pyannote[201].end 656.85659375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 656.85659375
transcript.pyannote[202].end 660.29909375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 659.52284375
transcript.pyannote[203].end 660.65346875
transcript.whisperx[0].start 2.861
transcript.whisperx[0].end 25.891
transcript.whisperx[0].text 謝謝主席 我們請代理主委來 陳代理主委請委員長主委好所以剛針對那個方委員問的我再補充問一下Meta GoogleTikTok 他們在台灣有沒有設法律代表
transcript.whisperx[1].start 27.085
transcript.whisperx[1].end 53.465
transcript.whisperx[1].text TikTok之外其他我確定有TikTok應該是有來在接洽處理TikTok也有TikTok目前未來也是美國公司嘛那小紅書有沒有設法律代表我的了解部分是沒有是的差別在這裡你自己當主委你自己要去搞清楚有我剛剛有跟黃委員報告那比如說政府有公文
transcript.whisperx[2].start 55.141
transcript.whisperx[2].end 83.355
transcript.whisperx[2].text 就是有狀況給Meta Google TikTok他們公文有回應小紅書政府給他公文有沒有回應應該是已讀不回吧是的 已讀不回那詐騙受理案件Meta Google TikTok都有設窗口小紅書有沒有設窗口應該沒有好 那答案不是很清楚了吧
transcript.whisperx[3].start 85.229
transcript.whisperx[3].end 114.427
transcript.whisperx[3].text 我希望說你們自己回答要具體就是說到底為什麼他會跟Meta會跟Google會跟TikTok不一樣至少他在台灣有法律代表我們要聯繫有窗口政府要聯繫有回應小紅樹是這三個通通沒有那為什麼他會比較特別因為他自己做法就很特別跟其他的這些都不一樣啊
transcript.whisperx[4].start 116.56
transcript.whisperx[4].end 140.817
transcript.whisperx[4].text 所以答案就很清楚我希望說主委你自己也要搞得很清楚回答要很清楚很具體所以這個其實也很不好管我們知道NCC很辛苦那個廣播電台是廣播電視法管對不對是那有線電視有線電視法那MOD
transcript.whisperx[5].start 145.902
transcript.whisperx[5].end 161.236
transcript.whisperx[5].text 目前是用過往管理規則來管那包括衛星廣播嘛對不對對衛廣法目前很多的衛星頻道是衛廣法來所以這個都很具體嘛好那我再請教一下那是個平面媒體
transcript.whisperx[6].start 162.554
transcript.whisperx[6].end 190.822
transcript.whisperx[6].text 平面媒體目前應該是文化部為主那文化部當然它管理的力道大概跟過往又稍微有不一樣因為那個出版法或者那個大概也已經廢除就是說它內容內容誰管內容紙媒嗎紙媒部分大部分而言還是文化部文化部那網路媒體呢
transcript.whisperx[7].start 192.219
transcript.whisperx[7].end 218.133
transcript.whisperx[7].text 網路媒體現在的標準答案說法應該是看它的性質由各相關機關來管相關機關對 就假設它內容涉及到衛福部的相關這個耳哨 保護那就是由衛福部衛福部相關的作用法其實都已經訂了所以我剛剛跟報告說所以它內容有問題都是相關機關事業目的事業主管機關自己要管理
transcript.whisperx[8].start 218.693
transcript.whisperx[8].end 243.59
transcript.whisperx[8].text 分散是立法然後分散是分到各相關部會來統則處理所以最後呢其實有爭議大部分都是去法院處理啦對不對有些是這樣子沒錯你網路媒體有登記公司那基本上好像是歸經濟部管那經濟部管是你這個公司有沒有問題對你公司運作的內容經濟部也沒管那麼多嘛對不對
transcript.whisperx[9].start 244.358
transcript.whisperx[9].end 269.952
transcript.whisperx[9].text 對 他負責登記而已大部分 對不對所以呢這個都是屬於傳播嘛我們NCC的全名叫什麼通訊傳播委員會傳播嘛 對不對但是很多網路上的平台不見得是傳播有時它是UGC就是使用者生成的內容那一塊甚至是廣告那這邊就比較不是NCC的範疇
transcript.whisperx[10].start 271.591
transcript.whisperx[10].end 295.931
transcript.whisperx[10].text 對啦我現在就是告訴你嘛平面媒體它有傳播的功能嘛對不對對網路媒體當然你說的各自它內部自己的製作自己的內容啦等等的這個都個人的事情嘛但是現在網路媒體的傳播效能大不大大大對不對所以以邏輯來講有關係到傳播的
transcript.whisperx[11].start 299.212
transcript.whisperx[11].end 318.372
transcript.whisperx[11].text 我們叫做通訊傳播委員會嘛對不對但是這一塊因為行政院已經立定是分工說變成行為管制如果他的雖然是自媒體雖然是UGC他的內容涉及到侵權涉及到智慧財產侵權其實就有相關對應的比方說智慧局會沒關係那我就針對傳播的部分嘛
transcript.whisperx[12].start 319.366
transcript.whisperx[12].end 331.34
transcript.whisperx[12].text 因為他很複雜所以會牽涉到很多不同的單位這個我們都可以理解但是我們從邏輯來做思考就是說他有關於傳播的部分那應該是誰來管
transcript.whisperx[13].start 332.931
transcript.whisperx[13].end 356.448
transcript.whisperx[13].text NCC負責在源頭端 主要是該內那一塊我們目前網傳辦其實有處理這一塊我們希望能夠保障言論自由 維護使用者權益所以我們也是有做一些相關軟法目前雖然沒有委員會議我們做一些軟法的一些訂定比方說我們過往剛剛很多部會都在分散立法我們就訂定一個立法的指引給相關部會參考
transcript.whisperx[14].start 357.509
transcript.whisperx[14].end 385.84
transcript.whisperx[14].text 那另外民眾最多詬病是說很多是他跟平台間的一些互動申訴的部分我們也訂定這個申訴的指引那當然網際網路上是主要是各方在互相互動的所以是多方利害關係人這部分要怎麼處理怎麼來互動我們也訂定利害關係人的指引這些都是我們目前在處理的所以但是他表現在行為端他違法或怎麼樣其實都是回歸各相關目的世界對啦 這違法通通到法院嘛
transcript.whisperx[15].start 387.134
transcript.whisperx[15].end 409.532
transcript.whisperx[15].text 不知道要跟民國幾年了有些是行政法行政機關都可以處理好那我現在就說我們從我們還是處理事情要有邏輯然後要有具體這樣子才會有效所以我們來做一個簡單的邏輯思考那是不是說我們看到上個月
transcript.whisperx[16].start 411.713
transcript.whisperx[16].end 430.235
transcript.whisperx[16].text 自律其實網路新聞其實他們也有成立自律聯盟這個算是蠻好的我們應該給他們掌聲那他們其實自己都願意自律去提高新聞品質跟公信力但是只有自律恐怕有一些人他就不自律嘛
transcript.whisperx[17].start 432.328
transcript.whisperx[17].end 456.148
transcript.whisperx[17].text 對 所以我們是三律共管 自律他律法律所以我覺得法律還是有這個必要對 那比方說前一陣子某些個案在公共場所某些影片如果在網路上來發散它其實一樣是涉及到刑法的一些部分處理OK 只有 所以我就說老師到法院太慢了可以行政處理可以悠閒速度比較快
transcript.whisperx[18].start 457.653
transcript.whisperx[18].end 471.102
transcript.whisperx[18].text 所以我們有廣播電視法有線廣播電視法跟衛星廣播電視法我們平面媒體網路媒體有沒有可能有一個NCC來制定一個相關的法規
transcript.whisperx[19].start 474.004
transcript.whisperx[19].end 490.433
transcript.whisperx[19].text 針對傳播的部分因為他很複雜我知道那很複雜的部分我們實在是沒有辦法就是他蓋不同的目的失業主管機關有不同的觸犯不同的法律那個就是由各自法各自去相關的法律去管理
transcript.whisperx[20].start 491.574
transcript.whisperx[20].end 517.885
transcript.whisperx[20].text 但是如果針對傳播的部分NCC可不可以有一個肩膀跟有一個法律把它制定一個相關的法規來處理我們剛剛跟委員報告說網際網路上的媒體這一塊其實也是三律共管在自律的部分 現在九月份已經成立一個台灣媒體法律的部分 那目前
transcript.whisperx[21].start 519.005
transcript.whisperx[21].end 539.46
transcript.whisperx[21].text 印法還沒有問世之前我們其實有訂定軟法剛剛我們總共要訂了五個的指引那未來如果時機成熟的話其實訂定相關的一些法律其實都是有可能的雖然我們110年110年這個數位中介法曾經提出過一次但是但是社會各界有所議論也沒有共識所以才會
transcript.whisperx[22].start 540.6
transcript.whisperx[22].end 567.866
transcript.whisperx[22].text 維持現況剛好這幾年從110年到現在也剛好國際上的潮流其實也很多就是這個分散勢力法特別是德國所以有沒有NCC已經有這個打算已經在做了那就是針對平面媒體平面媒體部分沒有就是網際網路上的你們先針對網際網路網際網路現在已經有在做了大概什麼時候可能會有結果
transcript.whisperx[23].start 569.118
transcript.whisperx[23].end 593.338
transcript.whisperx[23].text 我們五個指引其實有些到年底都會有一兩個指引都可以都可以出來那其他的可能明年會出來總共五個指引大概應該是有兩個今年到明年應該都可以年底現在已經12月了我確定是有兩個指引其實已經可以有兩個指引這個月底已經不是年底了是這個月底對有兩個是可以出來沒問題
transcript.whisperx[24].start 594.099
transcript.whisperx[24].end 618.833
transcript.whisperx[24].text 有兩個可以出來對 指引 軟法那明年的其他三個什麼時候有些明年可以出來明年底以前剩下三個都可以出來明年底 那還要一年但我們會加快啦我是覺得就是今天很具體的建議啦反正跟傳播有關的
transcript.whisperx[25].start 620.036
transcript.whisperx[25].end 635.281
transcript.whisperx[25].text 我們又是傳播委員會所以這個部分真的是必須有一個規則出來只是靠智力是真的不夠所以這個必須要有肩膀有擔當這個就必須讓NCC來承擔這樣OK嗎
transcript.whisperx[26].start 636.701
transcript.whisperx[26].end 659.658
transcript.whisperx[26].text 網際網路部分我們已經在做了OK好沒問題那我們先看年底月底這兩個你就先公布出來然後明年的也先給我們預告一下讓我們大家民眾可以有所依選也知道到底NCC要怎麼做這樣好不好好沒問題OK好那我們就等你的結果好OK謝謝