iVOD / 161567

Field Value
IVOD_ID 161567
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161567
日期 2025-05-19
會議資料.會議代碼 委員會-11-3-36-17
會議資料.會議代碼:str 第11屆第3會期司法及法制委員會第17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 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第3會期司法及法制委員會第17次全體委員會議
影片種類 Clip
開始時間 2025-05-19T12:17:25+08:00
結束時間 2025-05-19T12:35:29+08:00
影片長度 00:18:04
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ecb6f54fb5d604f09baf38d7ea4bb460239b9191e0d12eeaeec3a664eb535367f1956145e7c495575ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王鴻薇
委員發言時間 12:17:25 - 12:35:29
會議時間 2025-05-19T09:00:00+08:00
會議名稱 立法院第11屆第3會期司法及法制委員會第17次全體委員會議(事由:邀請司法院副秘書長、法務部部長、法務部調查局局長、國家通訊傳播委員會代理主任委員、內政部警政署署長、中央選舉委員會、數位發展部、個人資料保護委員會籌備處及中華電信股份有限公司率所屬相關單位列席就「民眾反應收到罷免連署簡訊,顯非商業廣告目的利用,質疑個資洩漏而侵害人民權益」進行專題報告,並備質詢。 【5月19日及21日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 6.69659375
transcript.pyannote[0].end 8.01284375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 8.60346875
transcript.pyannote[1].end 9.29534375
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 10.29096875
transcript.pyannote[2].end 11.05034375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 11.84346875
transcript.pyannote[3].end 12.53534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 12.53534375
transcript.pyannote[4].end 13.58159375
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 13.80096875
transcript.pyannote[5].end 14.49284375
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 15.28596875
transcript.pyannote[6].end 15.91034375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 15.91034375
transcript.pyannote[7].end 16.43346875
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 17.69909375
transcript.pyannote[8].end 19.11659375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 19.21784375
transcript.pyannote[9].end 20.02784375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 20.50034375
transcript.pyannote[10].end 21.05721875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 21.66471875
transcript.pyannote[11].end 22.42409375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 22.33971875
transcript.pyannote[12].end 23.16659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 23.04846875
transcript.pyannote[13].end 23.35221875
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 23.85846875
transcript.pyannote[14].end 24.98909375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 25.14096875
transcript.pyannote[15].end 25.76534375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 25.79909375
transcript.pyannote[16].end 26.65971875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 32.05971875
transcript.pyannote[17].end 32.36346875
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 34.43909375
transcript.pyannote[18].end 46.21784375
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 46.52159375
transcript.pyannote[19].end 54.21659375
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 54.72284375
transcript.pyannote[20].end 60.13971875
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 60.61221875
transcript.pyannote[21].end 61.65846875
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 61.91159375
transcript.pyannote[22].end 79.96784375
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 80.22096875
transcript.pyannote[23].end 83.24159375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 92.18534375
transcript.pyannote[24].end 106.47846875
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 106.47846875
transcript.pyannote[25].end 106.54596875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 106.54596875
transcript.pyannote[26].end 106.64721875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 107.49096875
transcript.pyannote[27].end 107.96346875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 107.96346875
transcript.pyannote[28].end 110.74784375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 110.84909375
transcript.pyannote[29].end 126.99846875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 127.63971875
transcript.pyannote[30].end 130.23846875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 130.23846875
transcript.pyannote[31].end 130.25534375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 130.25534375
transcript.pyannote[32].end 130.28909375
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 130.28909375
transcript.pyannote[33].end 133.68096875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 133.74846875
transcript.pyannote[34].end 135.14909375
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 136.85346875
transcript.pyannote[35].end 138.33846875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 138.99659375
transcript.pyannote[36].end 148.71659375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 148.05846875
transcript.pyannote[37].end 150.10034375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 151.75409375
transcript.pyannote[38].end 153.27284375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 154.08284375
transcript.pyannote[39].end 154.31909375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 154.43721875
transcript.pyannote[40].end 156.78284375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 159.56721875
transcript.pyannote[41].end 160.76534375
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 161.86221875
transcript.pyannote[42].end 162.18284375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 162.55409375
transcript.pyannote[43].end 164.07284375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 164.22471875
transcript.pyannote[44].end 164.96721875
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 165.42284375
transcript.pyannote[45].end 166.68846875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 167.49846875
transcript.pyannote[46].end 169.55721875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 170.11409375
transcript.pyannote[47].end 194.61659375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 189.87471875
transcript.pyannote[48].end 190.17846875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 194.61659375
transcript.pyannote[49].end 202.07534375
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 202.78409375
transcript.pyannote[50].end 205.39971875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 206.10846875
transcript.pyannote[51].end 207.84659375
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 208.33596875
transcript.pyannote[52].end 210.56346875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 209.51721875
transcript.pyannote[53].end 228.40034375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 215.99721875
transcript.pyannote[54].end 217.31346875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 224.04659375
transcript.pyannote[55].end 224.08034375
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 224.14784375
transcript.pyannote[56].end 224.36721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 228.87284375
transcript.pyannote[57].end 239.94284375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 239.68971875
transcript.pyannote[58].end 240.93846875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 240.93846875
transcript.pyannote[59].end 247.70534375
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 240.97221875
transcript.pyannote[60].end 241.25909375
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 242.52471875
transcript.pyannote[61].end 244.21221875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 245.03909375
transcript.pyannote[62].end 245.79846875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 246.96284375
transcript.pyannote[63].end 248.86971875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 248.11034375
transcript.pyannote[64].end 250.52346875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 250.11846875
transcript.pyannote[65].end 253.91534375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 251.23221875
transcript.pyannote[66].end 261.15471875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 254.18534375
transcript.pyannote[67].end 254.40471875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 259.55159375
transcript.pyannote[68].end 268.51221875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 268.93409375
transcript.pyannote[69].end 275.12721875
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 275.63346875
transcript.pyannote[70].end 281.80971875
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 281.91096875
transcript.pyannote[71].end 285.43784375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 285.60659375
transcript.pyannote[72].end 295.98471875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 297.04784375
transcript.pyannote[73].end 298.46534375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 298.93784375
transcript.pyannote[74].end 300.96284375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 299.15721875
transcript.pyannote[75].end 299.61284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 300.96284375
transcript.pyannote[76].end 302.71784375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 301.03034375
transcript.pyannote[77].end 329.93721875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 303.27471875
transcript.pyannote[78].end 309.01221875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 327.03471875
transcript.pyannote[79].end 338.42534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 338.74596875
transcript.pyannote[80].end 341.17596875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 341.17596875
transcript.pyannote[81].end 342.45846875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 342.45846875
transcript.pyannote[82].end 343.87596875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 343.28534375
transcript.pyannote[83].end 346.87971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 344.56784375
transcript.pyannote[84].end 355.41846875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 347.20034375
transcript.pyannote[85].end 348.75284375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 355.68846875
transcript.pyannote[86].end 358.20284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 358.20284375
transcript.pyannote[87].end 359.82284375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 360.34596875
transcript.pyannote[88].end 364.76721875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 363.82221875
transcript.pyannote[89].end 365.45909375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 365.45909375
transcript.pyannote[90].end 376.41096875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 370.16721875
transcript.pyannote[91].end 370.18409375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 370.20096875
transcript.pyannote[92].end 370.25159375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 370.79159375
transcript.pyannote[93].end 371.14596875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 376.14096875
transcript.pyannote[94].end 381.27096875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 382.53659375
transcript.pyannote[95].end 384.74721875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 385.99596875
transcript.pyannote[96].end 388.03784375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 388.45971875
transcript.pyannote[97].end 393.89346875
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 394.43346875
transcript.pyannote[98].end 394.83846875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 395.26034375
transcript.pyannote[99].end 416.37096875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 416.70846875
transcript.pyannote[100].end 417.53534375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 418.46346875
transcript.pyannote[101].end 426.22596875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 426.85034375
transcript.pyannote[102].end 427.27221875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 426.91784375
transcript.pyannote[103].end 427.23846875
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 427.27221875
transcript.pyannote[104].end 427.28909375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 427.28909375
transcript.pyannote[105].end 427.30596875
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 427.30596875
transcript.pyannote[106].end 427.96409375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 427.47471875
transcript.pyannote[107].end 428.35221875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 428.35221875
transcript.pyannote[108].end 428.45346875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 428.74034375
transcript.pyannote[109].end 429.16221875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 429.68534375
transcript.pyannote[110].end 431.03534375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 431.22096875
transcript.pyannote[111].end 439.27034375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 440.31659375
transcript.pyannote[112].end 455.74034375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 442.17284375
transcript.pyannote[113].end 442.64534375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 443.80971875
transcript.pyannote[114].end 443.99534375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 454.54221875
transcript.pyannote[115].end 466.43909375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 466.91159375
transcript.pyannote[116].end 469.51034375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 469.89846875
transcript.pyannote[117].end 477.64409375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 478.26846875
transcript.pyannote[118].end 481.28909375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 481.99784375
transcript.pyannote[119].end 482.72346875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 482.09909375
transcript.pyannote[120].end 482.41971875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 482.72346875
transcript.pyannote[121].end 493.42221875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 493.69221875
transcript.pyannote[122].end 495.17721875
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 495.44721875
transcript.pyannote[123].end 509.60534375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 505.69034375
transcript.pyannote[124].end 507.09096875
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 507.76596875
transcript.pyannote[125].end 508.05284375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 509.60534375
transcript.pyannote[126].end 512.11971875
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 512.60909375
transcript.pyannote[127].end 513.94221875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 514.24596875
transcript.pyannote[128].end 515.03909375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 516.28784375
transcript.pyannote[129].end 518.48159375
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 519.27471875
transcript.pyannote[130].end 534.69846875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 534.69846875
transcript.pyannote[131].end 534.83346875
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 535.32284375
transcript.pyannote[132].end 539.13659375
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 539.57534375
transcript.pyannote[133].end 543.54096875
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 543.81096875
transcript.pyannote[134].end 545.07659375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 544.13159375
transcript.pyannote[135].end 544.16534375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 544.82346875
transcript.pyannote[136].end 544.97534375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 545.07659375
transcript.pyannote[137].end 546.64596875
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 547.15221875
transcript.pyannote[138].end 550.10534375
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 549.07596875
transcript.pyannote[139].end 552.21471875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 552.61971875
transcript.pyannote[140].end 554.32409375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 555.06659375
transcript.pyannote[141].end 555.35346875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 555.87659375
transcript.pyannote[142].end 556.33221875
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 556.72034375
transcript.pyannote[143].end 557.68221875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 557.68221875
transcript.pyannote[144].end 557.69909375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 557.93534375
transcript.pyannote[145].end 558.18846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 558.69471875
transcript.pyannote[146].end 559.08284375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 559.79159375
transcript.pyannote[147].end 568.66784375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 569.22471875
transcript.pyannote[148].end 570.30471875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 570.79409375
transcript.pyannote[149].end 571.11471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 571.48596875
transcript.pyannote[150].end 572.97096875
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 571.55346875
transcript.pyannote[151].end 571.63784375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 572.31284375
transcript.pyannote[152].end 573.35909375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 573.30846875
transcript.pyannote[153].end 573.34221875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 573.35909375
transcript.pyannote[154].end 577.39221875
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 576.54846875
transcript.pyannote[155].end 576.73409375
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 577.03784375
transcript.pyannote[156].end 577.10534375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 577.39221875
transcript.pyannote[157].end 578.03346875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 578.03346875
transcript.pyannote[158].end 579.88971875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 579.41721875
transcript.pyannote[159].end 580.29471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 580.29471875
transcript.pyannote[160].end 581.13846875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 580.80096875
transcript.pyannote[161].end 583.26471875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 583.53471875
transcript.pyannote[162].end 585.64409375
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 585.00284375
transcript.pyannote[163].end 586.89284375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 586.89284375
transcript.pyannote[164].end 586.97721875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 587.01096875
transcript.pyannote[165].end 590.55471875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 590.35221875
transcript.pyannote[166].end 591.75284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 591.28034375
transcript.pyannote[167].end 595.46534375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 594.94221875
transcript.pyannote[168].end 605.80971875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 606.33284375
transcript.pyannote[169].end 607.10909375
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 607.85159375
transcript.pyannote[170].end 609.31971875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 608.83034375
transcript.pyannote[171].end 614.23034375
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 613.80846875
transcript.pyannote[172].end 617.40284375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 619.29284375
transcript.pyannote[173].end 620.50784375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 621.11534375
transcript.pyannote[174].end 624.03471875
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 624.69284375
transcript.pyannote[175].end 627.17346875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 627.67971875
transcript.pyannote[176].end 628.65846875
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 629.62034375
transcript.pyannote[177].end 658.96596875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 658.00409375
transcript.pyannote[178].end 660.82221875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 660.97409375
transcript.pyannote[179].end 661.48034375
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 661.59846875
transcript.pyannote[180].end 662.79659375
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 663.33659375
transcript.pyannote[181].end 665.78346875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 666.18846875
transcript.pyannote[182].end 667.65659375
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 667.96034375
transcript.pyannote[183].end 672.02721875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 672.02721875
transcript.pyannote[184].end 675.18284375
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 675.41909375
transcript.pyannote[185].end 681.71346875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 681.78096875
transcript.pyannote[186].end 685.86471875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 686.55659375
transcript.pyannote[187].end 687.48471875
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 687.18096875
transcript.pyannote[188].end 687.21471875
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 687.48471875
transcript.pyannote[189].end 687.60284375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 687.60284375
transcript.pyannote[190].end 687.72096875
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 687.72096875
transcript.pyannote[191].end 688.02471875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 688.02471875
transcript.pyannote[192].end 694.08284375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 694.13346875
transcript.pyannote[193].end 703.14471875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 701.30534375
transcript.pyannote[194].end 701.32221875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 701.32221875
transcript.pyannote[195].end 703.00971875
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 703.75221875
transcript.pyannote[196].end 704.83221875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 703.78596875
transcript.pyannote[197].end 704.42721875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 704.66346875
transcript.pyannote[198].end 707.49846875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 707.49846875
transcript.pyannote[199].end 712.91534375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 711.48096875
transcript.pyannote[200].end 724.33971875
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 713.96159375
transcript.pyannote[201].end 717.52221875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 719.22659375
transcript.pyannote[202].end 720.18846875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 720.84659375
transcript.pyannote[203].end 721.60596875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 722.83784375
transcript.pyannote[204].end 741.02909375
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 741.38346875
transcript.pyannote[205].end 750.19221875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 750.37784375
transcript.pyannote[206].end 761.48159375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 761.83596875
transcript.pyannote[207].end 771.45471875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 762.08909375
transcript.pyannote[208].end 764.16471875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 766.67909375
transcript.pyannote[209].end 770.50971875
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 771.38721875
transcript.pyannote[210].end 775.13346875
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 775.50471875
transcript.pyannote[211].end 781.96784375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 785.83221875
transcript.pyannote[212].end 790.86096875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 788.49846875
transcript.pyannote[213].end 793.96596875
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 792.43034375
transcript.pyannote[214].end 802.62284375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 794.87721875
transcript.pyannote[215].end 795.80534375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 803.23034375
transcript.pyannote[216].end 808.44471875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 805.20471875
transcript.pyannote[217].end 805.99784375
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 807.19596875
transcript.pyannote[218].end 808.42784375
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 808.44471875
transcript.pyannote[219].end 808.47846875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 808.47846875
transcript.pyannote[220].end 808.52909375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 808.74846875
transcript.pyannote[221].end 813.67596875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 813.89534375
transcript.pyannote[222].end 832.84596875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 824.88096875
transcript.pyannote[223].end 825.25221875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 825.45471875
transcript.pyannote[224].end 829.96034375
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 831.37784375
transcript.pyannote[225].end 879.03284375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 835.79909375
transcript.pyannote[226].end 837.14909375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 879.21846875
transcript.pyannote[227].end 883.53846875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 880.36596875
transcript.pyannote[228].end 892.58346875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 884.16284375
transcript.pyannote[229].end 885.68159375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 886.54221875
transcript.pyannote[230].end 887.97659375
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 888.31409375
transcript.pyannote[231].end 889.71471875
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 890.10284375
transcript.pyannote[232].end 891.45284375
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 891.95909375
transcript.pyannote[233].end 894.74346875
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 895.84034375
transcript.pyannote[234].end 898.72596875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 898.86096875
transcript.pyannote[235].end 913.33971875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 907.26471875
transcript.pyannote[236].end 912.02346875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 912.02346875
transcript.pyannote[237].end 913.15409375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 913.15409375
transcript.pyannote[238].end 913.22159375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 913.55909375
transcript.pyannote[239].end 919.39784375
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 920.17409375
transcript.pyannote[240].end 923.41409375
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 923.76846875
transcript.pyannote[241].end 939.32721875
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 935.88471875
transcript.pyannote[242].end 947.64659375
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 941.63909375
transcript.pyannote[243].end 957.82221875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 954.24471875
transcript.pyannote[244].end 960.18471875
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 959.94846875
transcript.pyannote[245].end 981.43034375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 981.43034375
transcript.pyannote[246].end 1000.73534375
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 987.96096875
transcript.pyannote[247].end 988.72034375
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 988.72034375
transcript.pyannote[248].end 989.53034375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 989.53034375
transcript.pyannote[249].end 989.69909375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 990.07034375
transcript.pyannote[250].end 990.57659375
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 995.25096875
transcript.pyannote[251].end 995.53784375
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 996.11159375
transcript.pyannote[252].end 998.13659375
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 999.04784375
transcript.pyannote[253].end 1011.38346875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 1009.57784375
transcript.pyannote[254].end 1013.59409375
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 1011.83909375
transcript.pyannote[255].end 1016.83409375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 1016.44596875
transcript.pyannote[256].end 1019.41596875
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 1021.15409375
transcript.pyannote[257].end 1022.50409375
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 1023.24659375
transcript.pyannote[258].end 1029.82784375
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 1023.33096875
transcript.pyannote[259].end 1023.63471875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 1023.66846875
transcript.pyannote[260].end 1023.71909375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 1027.60034375
transcript.pyannote[261].end 1028.00534375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 1028.03909375
transcript.pyannote[262].end 1028.20784375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 1028.22471875
transcript.pyannote[263].end 1028.34284375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 1028.41034375
transcript.pyannote[264].end 1037.70846875
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 1035.70034375
transcript.pyannote[265].end 1036.35846875
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 1036.76346875
transcript.pyannote[266].end 1042.60221875
transcript.pyannote[267].speaker SPEAKER_04
transcript.pyannote[267].start 1043.22659375
transcript.pyannote[267].end 1045.58909375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 1045.58909375
transcript.pyannote[268].end 1054.31346875
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 1045.85909375
transcript.pyannote[269].end 1047.04034375
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 1047.42846875
transcript.pyannote[270].end 1047.96846875
transcript.pyannote[271].speaker SPEAKER_04
transcript.pyannote[271].start 1049.85846875
transcript.pyannote[271].end 1064.18534375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 1062.54846875
transcript.pyannote[272].end 1081.85346875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 1070.27721875
transcript.pyannote[273].end 1072.45409375
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 1078.91721875
transcript.pyannote[274].end 1079.96346875
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 1079.96346875
transcript.pyannote[275].end 1080.33471875
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 1080.33471875
transcript.pyannote[276].end 1080.40221875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 1080.40221875
transcript.pyannote[277].end 1080.41909375
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 1080.41909375
transcript.pyannote[278].end 1080.45284375
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 1080.45284375
transcript.pyannote[279].end 1081.48221875
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 1082.88284375
transcript.pyannote[280].end 1082.89971875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 1082.89971875
transcript.pyannote[281].end 1083.96284375
transcript.whisperx[0].start 6.681
transcript.whisperx[0].end 26.518
transcript.whisperx[0].text 好謝謝主席我請司法院副秘書長 麻煩副秘書長 法務部政部長 政部長NCC主委 NCC主委代理主委 代理主委還有中華電信副總好
transcript.whisperx[1].start 34.505
transcript.whisperx[1].end 52.81
transcript.whisperx[1].text 其實今天我們主要是談在這個簡訊就是霸團組織顯然是已經很精準的針對了地區發了這個相關的簡訊那這個簡訊到底有沒有違反相關的個資法那麼根據自由時報的報導
transcript.whisperx[2].start 54.81
transcript.whisperx[2].end 83.073
transcript.whisperx[2].text 自由時報報導引述司法院說有違法可以提起救濟那司法院說近期各地進行的公職人員罷免案目前尚處於罷免選罷法規定的提議或連署階段民眾收到罷免連署簡訊可能涉及違反各自法那我想請問一下我們的副秘書長請問一下到底有沒有違反各自法
transcript.whisperx[3].start 93.04
transcript.whisperx[3].end 106.202
transcript.whisperx[3].text 請說這個部分我們剛在報告中有說就是還是要看到看他的整個那個程序因為司法這個最後事實上是在那個尾端所以要看那個個案所呈現的這些狀況才能夠做就按照這個我這個解訊內容給你看啦
transcript.whisperx[4].start 107.52
transcript.whisperx[4].end 134.927
transcript.whisperx[4].text 好 給你看 因為它這個是有它有鎖定區域嘛它不會到台北來讓我去憑證去去簽聯署書啊它也不會讓我去新店簽聯署書啊那它的發送是有鎖定在它的選區這樣有沒有違反各自法那個報告委員 剛才不管是哪一端 但是最後這個行為有沒有違反各自法
transcript.whisperx[5].start 136.892
transcript.whisperx[5].end 140.955
transcript.whisperx[5].text 各自有被受到保護嗎?那自由時報是假新聞嗎?他說霸團簡訊可能涉嫌違法所以你現在不敢講了?
transcript.whisperx[6].start 162.628
transcript.whisperx[6].end 169.359
transcript.whisperx[6].text 你不敢講 請問一下那個法務部正部長像這個行為有沒有違反各自法
transcript.whisperx[7].start 171.034
transcript.whisperx[7].end 192.343
transcript.whisperx[7].text 這個行為有沒有 要就個案的認定那是個資法有沒有那個處罰是要違反第六條還有第十五條 第十六條 第十九條跟第二十條就是說對違反那個個資的因為個資的收集處理利用都有法定的一個嚴格的標準嘛那你違反的話 這個如果說有人違反的話
transcript.whisperx[8].start 195.004
transcript.whisperx[8].end 221.332
transcript.whisperx[8].text 這個我的意思就是說他可以很精準的在這個區域裡面發送給這個區域的這個就是簡訊發送給這個區域的受眾那這沒有各自外洩的問題嗎就是我們就看個人資料的定義個人資料包括他的個人資料的定義好部長我要問那個自然人還有一些什麼比如說出生年日身分證號碼電話號碼等等
transcript.whisperx[9].start 224.153
transcript.whisperx[9].end 236.818
transcript.whisperx[9].text 而以直接間接識別該個人的資料也就是說如果單純的一個電話號碼我們也沒辦法知道這個是誰的如果說那個簡訊說我某某麻煩你來支持這樣才有違反個資法這個就是很明確的個人資料
transcript.whisperx[10].start 243.8
transcript.whisperx[10].end 248.783
transcript.whisperx[10].text 如果他只有一個單純電話去辨識這到底是誰的電話無法辨識他有沒有違反個資可能在這部分可能這要再往前去推是不是有沒有提供那部長我請問一下像這個案例因為民眾都很緊張那我們會針對這有沒有違反個資法來做調查嗎
transcript.whisperx[11].start 269.291
transcript.whisperx[11].end 284.916
transcript.whisperx[11].text 只要有人來告訴告發那個訴訟人員228告訴我們就來查到底有沒有違反各自法好那我想請問一下因為像我是被罷免人我們很多委員是被罷免人那假使被罷免人這是罷團發送的嘛那假使被罷免人針對這個區域也發送這樣的簡訊就是說拜託你要出來投票要投不同意罷免請問一下
transcript.whisperx[12].start 297.859
transcript.whisperx[12].end 307.121
transcript.whisperx[12].text 要不要辦所以我有很擔心的事啊因為現在都是辦藍不辦綠嘛所以我們擔心的是罷團這樣子都沒問題司法院也說看個案然後法務部也說看個案然後等到呢等到被罷免人也同樣的狀況也同樣的去買簡訊的時候那可能這不一樣嘛這不是說讓你去連署嘛就是拜託你投票啊請你投票不同意罷免啊哇 就有事了
transcript.whisperx[13].start 327.105
transcript.whisperx[13].end 328.528
transcript.whisperx[13].text 因為你們的雙標是很厲害的啊這個如果各支法如果說這個街道檢修各支法的
transcript.whisperx[14].start 335.05
transcript.whisperx[14].end 357.411
transcript.whisperx[14].text 的問題的話那是屬於接到簡訊的人接到簡訊的人他是被害人嘛對民眾就告發啦民眾怎麼沒有告發你看他還提供簡訊給大家對不對看看有沒有成立他怎麼樣的一個一個到底是怎麼個人資料的外洩的一個問題所以啊部長會不會雙標啊不會雙標啦這個
transcript.whisperx[15].start 360.83
transcript.whisperx[15].end 372.522
transcript.whisperx[15].text 這個辦案本來就是依照證據來認定犯罪事實因為你們雙標很厲害啊沒有沒有 這個委員我們不能夠這樣直接就給他貼這個雙標這個我們要維持一個純淨的一個辦案空間有證據就辦嘛 那我們會辦與不辦之間在於你們嘛來 那個我想請問一下NCC因為有關於簡訊
transcript.whisperx[16].start 386.058
transcript.whisperx[16].end 393.525
transcript.whisperx[16].text 集中在特殊條件這個是在簡訊這些商業行為非常普遍
transcript.whisperx[17].start 395.448
transcript.whisperx[17].end 412.573
transcript.whisperx[17].text 譬如說 因為其實一般商業用得更廣啊比如說有些建商我做一個建案我就是要有些特殊的有些特殊我就是鎖定在這個區域的或者是呢比如說一些投資理財的當然投資理財詐騙簡訊最多嘛所以呢
transcript.whisperx[18].start 418.696
transcript.whisperx[18].end 439.094
transcript.whisperx[18].text 現在我知道你們有一個防止詐騙 有關於這些簡訊 就是這些電信資料的管理的指引嘛有沒有 有嘛 對不對那 這個當然它原來的出發點是防止詐騙 因為詐騙行為太多所以你們這個指引請問一下上路了沒有
transcript.whisperx[19].start 440.896
transcript.whisperx[19].end 465.045
transcript.whisperx[19].text 112年就上路了持續在修正當中商業簡訊如果有網址連結有電話號碼還有短碼部分我們都會來封阻除非他經過驗證符合正當實驗在指引裡面請問一下在指引裡面他如果去限定他的特殊條件我剛講他的特殊條件別說他必須我限定在桃園
transcript.whisperx[20].start 466.986
transcript.whisperx[20].end 494.559
transcript.whisperx[20].text 地區我限定在台北市或台北市的哪幾個區域或者我限定在他比如說他有過投資行為類似這種商業化的這種簡訊請問一下如果在這些的就是販賣簡訊院就是幫企業去那個投放這簡訊這個在不在你們指引的這個管理的範圍裡面
transcript.whisperx[21].start 495.475
transcript.whisperx[21].end 514.752
transcript.whisperx[21].text 不在但是在原來的我們地形化企業有要求還有個資法本身也有要求它是你要提供LBS服務必須要用戶同意才可以提供才可以提供對就是經過合法或使用者同意那我請問一下因為這個事件呢今天有那個什麼請問一下你們說呢
transcript.whisperx[22].start 519.318
transcript.whisperx[22].end 545.769
transcript.whisperx[22].text 因為調查了解三家行動通信業者都沒有提供簡訊發送門號清單及基地台區域廣播技術LBS給簡訊代發業者就是說我們的三大電信業者都沒有提供那我請問一下這些簡訊代發業者的資料拿來的那就要問簡訊代發業者手上的資料其他公司是如何提供資料給他如何他可以把它歸類對不對
transcript.whisperx[23].start 547.199
transcript.whisperx[23].end 558.024
transcript.whisperx[23].text 那就請到公司的資訊來源就不知道怎麼來源來來來我請中華電信喔因為他們是你的客戶嘛來是林副總是
transcript.whisperx[24].start 559.904
transcript.whisperx[24].end 582.701
transcript.whisperx[24].text 因為你們是上游嘛中游就是這些簡訊代發業者所以你們沒有給他們他們資料哪來的怎麼生出來的其實他們的資料我們大概無從去了解無從要求無從理解不知道他怎麼來的
transcript.whisperx[25].start 583.722
transcript.whisperx[25].end 605.478
transcript.whisperx[25].text 他自己可以生成出來跟羅委員報告每一家公司他在經營相關的業務都有他的神通廣大他應該都要依照各自保護法來做相關的當然啦我就是問你嘛既然他是你的客戶你沒有給他這個資料那他資料哪來的怎麼從天上掉下來還是從地底下竄上來
transcript.whisperx[26].start 607.971
transcript.whisperx[26].end 617.313
transcript.whisperx[26].text 哪來的 不知道電信公司在這個案裡面就是純粹的網路通訊傳送的這個角色都不知道齁好 那請問一下 NCC 主管機關請問一下按照我們的電信業者說我們要給他們但是簡訊代發業者卻有這些資料你們查過沒
transcript.whisperx[27].start 629.656
transcript.whisperx[27].end 656.732
transcript.whisperx[27].text 我們的職權範圍措用法的職權範圍內就是電信業者這部分我們調查過兩次行政調查那簡單再跟委員回報剛剛說有兩個層次第一個層次是用戶同意LPS第二個層次是A傳給B傳給CC是電信公司最後傳給使用者B是簡訊大發業者A最上一端的行銷公司他為什麼會有資料要由這個行銷公司來說明他要負這個法律責任他是要怎麼取得是合法還是
transcript.whisperx[28].start 658.273
transcript.whisperx[28].end 684.15
transcript.whisperx[28].text 那所以這個調查責任是不是在NCC不是不在NCC在哪裡啊在它對應的相關主管機關它對應主管機關是什麼它是行銷公司目前初步應該是經濟部經濟部齁經濟部應該包商包海齁那因為它違法個資法的問題最近法務部大量在查違反個資法的問題啊那所以請問一下部長法務部部長這該不該你們查
transcript.whisperx[29].start 688.395
transcript.whisperx[29].end 701.827
transcript.whisperx[29].text 反正那個有涉及到犯罪的有經過告訴高發等等的那當然我們會啟動調查那不管不要說什麼個資啦如果說還有什麼其他的犯罪包括像這種可能涉及過去有查過嗎
transcript.whisperx[30].start 703.789
transcript.whisperx[30].end 705.27
transcript.whisperx[30].text 過去有查過嗎這個我沒有統計的資料怎麼會沒有查過這麼多詐騙很多詐騙就是透過簡訊的詐騙我剛剛講說簡訊簡訊的問題我剛剛講說簡訊這些所發的簡訊有
transcript.whisperx[31].start 725.956
transcript.whisperx[31].end 738.263
transcript.whisperx[31].text 被設定特殊條件 並不是在選舉啊其實過去選舉 我直接說 我們也常常有很多的政治人物啊就是到了中秋節啊 過年啊 他也會發送簡訊嘛給你拜年啊 什麼之類的那在一般的商業行為裡面也非常多那最氾濫的確實就是詐騙 因為最害怕的就是詐騙嘛
transcript.whisperx[32].start 750.49
transcript.whisperx[32].end 756.535
transcript.whisperx[32].text 所以照理說你們應該早就針對這一些因為防詐騙早就應該啟動相關的調查怎麼會到現在都告訴我好像沒有人在管而且也不知道他的資料哪裡來的你關心的就是那個詐欺的那部長根據你們過去的調查因為我剛剛講說詐騙最多嘛
transcript.whisperx[33].start 775.569
transcript.whisperx[33].end 781.391
transcript.whisperx[33].text 根據你們過去的調查這些點訊代發業者如果有這些特殊條件他的資料哪裡來的因為NC說他只查電訊業者電訊業者說我們沒有啊我們沒有提供啊所以你都不知道犯罪集團的問題當他變成詐騙行為這麼多的時候他已經不是個案他變通案啊請問他資料哪裡來的
transcript.whisperx[34].start 803.494
transcript.whisperx[34].end 808.076
transcript.whisperx[34].text 這個要每個犯罪的你也不知道這個每個犯罪類型疑問都三不知我不是疑問三不知這個我沒辦法跟你講說到底是哪個案件是從哪裡來的所以這個有些是有些廣告頭髮商有些是脫波的人是給的嘛那有些是要怎麼收集的就是最原始的那個
transcript.whisperx[35].start 821.584
transcript.whisperx[35].end 832.727
transcript.whisperx[35].text 那個前端的那個是誰收集處理他把這些賣掉所以呢我在這邊不要為了cover這件事情來部長不要著急喔我要講的就是說不要為了cover這件事情這個事實上在簡訊就是這些商業簡訊裡面已經非常慣常慣常的這些資料就是他常常是用特殊因為他要精準行銷嘛
transcript.whisperx[36].start 849.691
transcript.whisperx[36].end 854.794
transcript.whisperx[36].text 因為他不能海量發送海量發送實在太貴了他要精準行銷所以這個照理講尤其我們詐騙這麼多你們早就應該去整理出他的樣態啊怎麼到現在什麼都不知道好我這邊只有兩個要求第一個要求像這樣子如果你們確定他是有違反各司法之嫌那你們該調查就要調查不要為了去cover哪些集團
transcript.whisperx[37].start 879.346
transcript.whisperx[37].end 882.451
transcript.whisperx[37].text 第二個 請你不要半藍不半綠不要半藍不半綠我們同樣的同樣到時候 罷團可以用被罷免的人也同樣可以用
transcript.whisperx[38].start 895.905
transcript.whisperx[38].end 919.114
transcript.whisperx[38].text 是不是 應該是這樣的一個標準所以我要講的就是說該調查要調查第二個在調查的時候就請你不要再雙標了我知道你今天下午要開一個記者會我都不曉得你們到底要有什麼樣的資政記者會是要告訴大家我們這一年司法來的豐功偉業就是
transcript.whisperx[39].start 920.494
transcript.whisperx[39].end 924.838
transcript.whisperx[39].text 關了一個在野黨的主席對不對然後抄了八個在野黨的黨部關了多少的人家黨部的主委逃掉多少的經濟的重要的這些經濟犯我不曉得你今天下午是不是要公布這些啦當民意對於司法的公信力滿一度這麼低的時候
transcript.whisperx[40].start 948.378
transcript.whisperx[40].end 963.047
transcript.whisperx[40].text 請你們拿出真正的民眾關心的這個證物而不是在繼續的為政治服務我不是關心幾個案件我們是關心所有的被害人我不是關心幾個案件我們關心的可多了
transcript.whisperx[41].start 963.567
transcript.whisperx[41].end 967.731
transcript.whisperx[41].text 所以剛才因為有限時間關係像剛剛羅志強委員所提的反正我們呢我們黨團也已經提出相關的這個法案的修正也希望法務部能夠採納能夠回應13萬多人在網路上大家的一個期待這個情況我相信這部分我們就在這已經在修法了我們會更者的情況能夠更加保護我們的這些的
transcript.whisperx[42].start 990.349
transcript.whisperx[42].end 1018.159
transcript.whisperx[42].text 兒少 我們絕對不能允許這些的剛才那個主席也跟我們講 我們那個包括是不是真的要殺人 或者是一個致死的是不是在各一個家庭我們都在研究如果 凌虐七歲以下 凌虐七歲以下 兒童致死是不是應該可以 處以死刑 或者無期徒刑因為剛才也講喔 對不對 你凌虐這麼小的小孩你就知道一定對他造成非常大的傷害嘛委員 我的愛心 我對同情 我絕對不會輸給你的啦
transcript.whisperx[43].start 1021.226
transcript.whisperx[43].end 1042.351
transcript.whisperx[43].text 我們今天在講法欸你不是在跟我選舉啊這個不是 部長你不需要這麼多的政治語言所以我剛才講說因為對這些兒童 我們真的是天理 這些的殘害真的是天理燃容所以 淩孽幼童 就是我說七歲以下七歲以下的淩孽幼童
transcript.whisperx[44].start 1043.751
transcript.whisperx[44].end 1053.436
transcript.whisperx[44].text 這個其實不是叫過失啊這就是故意了嘛對不對這個絕對不是故意的喔好所以我們因為我們這個很委員不知道那個起訴的法條他會召開公聽會排公聽會到時候也會審查相關法案希望法務部拿出最大最大的誠意這個委員妳放心這部分我們現我們會用
transcript.whisperx[45].start 1066.543
transcript.whisperx[45].end 1072.351
transcript.whisperx[45].text 以最周全的保護的一個方式我想這個是回憶名義啦我們一定會回憶名義這個請委員放心那我想這個對兒童少年的一個保護我們一定要不遺餘力那我們也謝謝委員請你有具體的行為來推動好謝謝好謝謝王委員