iVOD / 160997

Field Value
IVOD_ID 160997
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160997
日期 2025-05-07
會議資料.會議代碼 委員會-11-3-36-15
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15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 15
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15次全體委員會議
影片種類 Clip
開始時間 2025-05-07T10:42:02+08:00
結束時間 2025-05-07T11:00:53+08:00
影片長度 00:18:51
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0a74d2e02c378e06b071155cc5780605115e7528c8151ef53464f2517af749f0f0fba3fac4fb75495ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅智強
委員發言時間 10:42:02 - 11:00:53
會議時間 2025-05-07T09:00:00+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15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、行政院打擊詐欺指揮中心指揮官、內政部警政署署長、數位發展部、國家通訊傳播委員會、金融監督管理委員會率所屬相關單位列席就「臺灣遭聯合國警示為東亞、東南亞跨國詐欺集團據點之檢討與防範,及打詐四法與相關子法施行後之具體成效」進行專題報告,並備質詢。 【5月5日及7日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 11.01659375
transcript.pyannote[0].end 19.70721875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 16.43346875
transcript.pyannote[1].end 17.47971875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 19.80846875
transcript.pyannote[2].end 19.90971875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 19.90971875
transcript.pyannote[3].end 20.02784375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 20.02784375
transcript.pyannote[4].end 20.44971875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.61409375
transcript.pyannote[5].end 22.27221875
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 24.36471875
transcript.pyannote[6].end 28.22909375
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 28.54971875
transcript.pyannote[7].end 32.19471875
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 32.80221875
transcript.pyannote[8].end 33.49409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 33.88221875
transcript.pyannote[9].end 39.88971875
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 39.67034375
transcript.pyannote[10].end 40.93596875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 40.14284375
transcript.pyannote[11].end 41.00346875
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 41.07096875
transcript.pyannote[12].end 44.05784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 44.81721875
transcript.pyannote[13].end 57.40596875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 57.45659375
transcript.pyannote[14].end 58.28346875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 59.34659375
transcript.pyannote[15].end 67.00784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 70.04534375
transcript.pyannote[16].end 73.03221875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 73.09971875
transcript.pyannote[17].end 78.95534375
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 79.37721875
transcript.pyannote[18].end 83.93346875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 84.32159375
transcript.pyannote[19].end 106.91721875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 107.86221875
transcript.pyannote[20].end 109.16159375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 110.61284375
transcript.pyannote[21].end 113.04284375
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 113.75159375
transcript.pyannote[22].end 115.01721875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 116.40096875
transcript.pyannote[23].end 116.89034375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 118.13909375
transcript.pyannote[24].end 119.21909375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 119.87721875
transcript.pyannote[25].end 121.07534375
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 121.42971875
transcript.pyannote[26].end 122.15534375
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 123.23534375
transcript.pyannote[27].end 124.29846875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 125.46284375
transcript.pyannote[28].end 127.13346875
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 128.11221875
transcript.pyannote[29].end 129.19221875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 130.05284375
transcript.pyannote[30].end 130.98096875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 132.29721875
transcript.pyannote[31].end 134.30534375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 135.09846875
transcript.pyannote[32].end 142.08471875
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 142.94534375
transcript.pyannote[33].end 144.39659375
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 144.86909375
transcript.pyannote[34].end 145.57784375
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 147.26534375
transcript.pyannote[35].end 148.63221875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 150.45471875
transcript.pyannote[36].end 153.39096875
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 153.91409375
transcript.pyannote[37].end 154.09971875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 154.58909375
transcript.pyannote[38].end 156.34409375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 157.71096875
transcript.pyannote[39].end 159.31409375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 160.27596875
transcript.pyannote[40].end 162.68909375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 163.46534375
transcript.pyannote[41].end 169.13534375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 170.85659375
transcript.pyannote[42].end 206.76659375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 197.70471875
transcript.pyannote[43].end 198.39659375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 205.82159375
transcript.pyannote[44].end 211.42409375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 212.79096875
transcript.pyannote[45].end 213.17909375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 215.42346875
transcript.pyannote[46].end 218.15721875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 218.12346875
transcript.pyannote[47].end 221.11034375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 221.07659375
transcript.pyannote[48].end 221.78534375
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 221.78534375
transcript.pyannote[49].end 221.80221875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 221.88659375
transcript.pyannote[50].end 222.91596875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 223.65846875
transcript.pyannote[51].end 225.48096875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 226.15596875
transcript.pyannote[52].end 233.54721875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 230.00346875
transcript.pyannote[53].end 230.59409375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 234.15471875
transcript.pyannote[54].end 239.67284375
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 239.97659375
transcript.pyannote[55].end 243.25034375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 244.04346875
transcript.pyannote[56].end 255.97409375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 244.14471875
transcript.pyannote[57].end 244.61721875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 255.97409375
transcript.pyannote[58].end 259.21409375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 259.80471875
transcript.pyannote[59].end 261.64409375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 261.64409375
transcript.pyannote[60].end 262.01534375
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 263.43284375
transcript.pyannote[61].end 269.49096875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 269.49096875
transcript.pyannote[62].end 275.97096875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 270.16596875
transcript.pyannote[63].end 270.28409375
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 275.97096875
transcript.pyannote[64].end 276.59534375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 277.01721875
transcript.pyannote[65].end 277.03409375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 277.03409375
transcript.pyannote[66].end 278.16471875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 278.26596875
transcript.pyannote[67].end 279.19409375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 280.27409375
transcript.pyannote[68].end 282.02909375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 282.02909375
transcript.pyannote[69].end 282.14721875
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 282.14721875
transcript.pyannote[70].end 282.23159375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 282.23159375
transcript.pyannote[71].end 282.29909375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 282.29909375
transcript.pyannote[72].end 282.38346875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 282.38346875
transcript.pyannote[73].end 282.40034375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 282.40034375
transcript.pyannote[74].end 283.02471875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 283.02471875
transcript.pyannote[75].end 305.97471875
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 283.58159375
transcript.pyannote[76].end 284.54346875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 286.75409375
transcript.pyannote[77].end 291.09096875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 305.97471875
transcript.pyannote[78].end 306.43034375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 308.43846875
transcript.pyannote[79].end 312.16784375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 313.73721875
transcript.pyannote[80].end 318.93471875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 319.55909375
transcript.pyannote[81].end 322.27596875
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 323.32221875
transcript.pyannote[82].end 326.32596875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 326.69721875
transcript.pyannote[83].end 332.51909375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 337.21034375
transcript.pyannote[84].end 347.62221875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 342.07034375
transcript.pyannote[85].end 343.31909375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 348.06096875
transcript.pyannote[86].end 355.80659375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 349.39409375
transcript.pyannote[87].end 349.90034375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 354.01784375
transcript.pyannote[88].end 356.02596875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 356.02596875
transcript.pyannote[89].end 356.17784375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 356.17784375
transcript.pyannote[90].end 357.24096875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 357.24096875
transcript.pyannote[91].end 357.32534375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 357.32534375
transcript.pyannote[92].end 358.74284375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 357.34221875
transcript.pyannote[93].end 379.39784375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 362.97846875
transcript.pyannote[94].end 364.05846875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 364.64909375
transcript.pyannote[95].end 364.96971875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 364.96971875
transcript.pyannote[96].end 365.20596875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 379.71846875
transcript.pyannote[97].end 391.29471875
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 389.32034375
transcript.pyannote[98].end 389.43846875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 390.19784375
transcript.pyannote[99].end 391.53096875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 392.74596875
transcript.pyannote[100].end 395.73284375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 396.34034375
transcript.pyannote[101].end 400.55909375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 401.11596875
transcript.pyannote[102].end 403.14096875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 404.06909375
transcript.pyannote[103].end 405.01409375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 405.75659375
transcript.pyannote[104].end 407.29221875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 408.11909375
transcript.pyannote[105].end 410.22846875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 410.22846875
transcript.pyannote[106].end 411.84846875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 410.29596875
transcript.pyannote[107].end 411.03846875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 412.72596875
transcript.pyannote[108].end 415.30784375
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 415.99971875
transcript.pyannote[109].end 425.88846875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 426.32721875
transcript.pyannote[110].end 447.92721875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 448.43346875
transcript.pyannote[111].end 450.20534375
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 450.45846875
transcript.pyannote[112].end 452.44971875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 453.20909375
transcript.pyannote[113].end 456.65159375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 457.10721875
transcript.pyannote[114].end 488.91659375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 487.02659375
transcript.pyannote[115].end 489.00096875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 489.30471875
transcript.pyannote[116].end 490.06409375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 489.77721875
transcript.pyannote[117].end 491.58284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 491.58284375
transcript.pyannote[118].end 492.07221875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 492.37596875
transcript.pyannote[119].end 495.22784375
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 495.78471875
transcript.pyannote[120].end 508.94721875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 508.94721875
transcript.pyannote[121].end 513.35159375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 511.17471875
transcript.pyannote[122].end 512.81159375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 513.08159375
transcript.pyannote[123].end 514.17846875
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 514.83659375
transcript.pyannote[124].end 516.03471875
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 516.30471875
transcript.pyannote[125].end 516.82784375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 518.92034375
transcript.pyannote[126].end 518.93721875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 518.93721875
transcript.pyannote[127].end 519.35909375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 519.73034375
transcript.pyannote[128].end 520.05096875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 520.20284375
transcript.pyannote[129].end 522.53159375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 523.32471875
transcript.pyannote[130].end 532.04909375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 532.08284375
transcript.pyannote[131].end 536.13284375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 537.16221875
transcript.pyannote[132].end 538.86659375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 539.62596875
transcript.pyannote[133].end 542.88284375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 543.57471875
transcript.pyannote[134].end 546.37596875
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 547.60784375
transcript.pyannote[135].end 575.53596875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 575.53596875
transcript.pyannote[136].end 575.95784375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 575.95784375
transcript.pyannote[137].end 581.99909375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 582.20159375
transcript.pyannote[138].end 584.17596875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 584.17596875
transcript.pyannote[139].end 584.76659375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 584.76659375
transcript.pyannote[140].end 590.75721875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 591.76971875
transcript.pyannote[141].end 593.96346875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 595.29659375
transcript.pyannote[142].end 597.70971875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 598.68846875
transcript.pyannote[143].end 598.70534375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 598.70534375
transcript.pyannote[144].end 600.66284375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 601.50659375
transcript.pyannote[145].end 614.65221875
transcript.pyannote[146].speaker SPEAKER_04
transcript.pyannote[146].start 614.09534375
transcript.pyannote[146].end 617.80784375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 618.95534375
transcript.pyannote[147].end 621.21659375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 621.72284375
transcript.pyannote[148].end 628.82721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 629.38409375
transcript.pyannote[149].end 637.41659375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 637.83846875
transcript.pyannote[150].end 639.50909375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 639.79596875
transcript.pyannote[151].end 643.33971875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 644.13284375
transcript.pyannote[152].end 651.00096875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 644.26784375
transcript.pyannote[153].end 645.12846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 651.30471875
transcript.pyannote[154].end 652.68846875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 652.85721875
transcript.pyannote[155].end 653.38034375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 653.86971875
transcript.pyannote[156].end 654.94971875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 655.42221875
transcript.pyannote[157].end 656.35034375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 656.87346875
transcript.pyannote[158].end 657.22784375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 657.48096875
transcript.pyannote[159].end 659.47221875
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 660.24846875
transcript.pyannote[160].end 661.09221875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 661.32846875
transcript.pyannote[161].end 665.61471875
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 666.00284375
transcript.pyannote[162].end 667.65659375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 667.69034375
transcript.pyannote[163].end 686.18534375
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 683.92409375
transcript.pyannote[164].end 689.42534375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 689.83034375
transcript.pyannote[165].end 693.10409375
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 693.32346875
transcript.pyannote[166].end 699.73596875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 700.29284375
transcript.pyannote[167].end 706.51971875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 707.61659375
transcript.pyannote[168].end 711.54846875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 712.44284375
transcript.pyannote[169].end 713.70846875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 714.92346875
transcript.pyannote[170].end 719.83409375
transcript.pyannote[171].speaker SPEAKER_04
transcript.pyannote[171].start 720.71159375
transcript.pyannote[171].end 724.06971875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 724.59284375
transcript.pyannote[172].end 728.38971875
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 728.76096875
transcript.pyannote[173].end 734.07659375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 734.70096875
transcript.pyannote[174].end 737.92409375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 738.32909375
transcript.pyannote[175].end 738.91971875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 739.69596875
transcript.pyannote[176].end 746.15909375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 746.15909375
transcript.pyannote[177].end 746.83409375
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 746.83409375
transcript.pyannote[178].end 748.11659375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 749.53409375
transcript.pyannote[179].end 755.30534375
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 756.33471875
transcript.pyannote[180].end 759.94596875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 760.46909375
transcript.pyannote[181].end 764.55284375
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 765.22784375
transcript.pyannote[182].end 767.87721875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 768.50159375
transcript.pyannote[183].end 772.23096875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 772.66971875
transcript.pyannote[184].end 774.13784375
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 775.33596875
transcript.pyannote[185].end 777.34409375
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 778.82909375
transcript.pyannote[186].end 787.90784375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 788.83596875
transcript.pyannote[187].end 794.21909375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 794.74221875
transcript.pyannote[188].end 801.61034375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 801.93096875
transcript.pyannote[189].end 874.22346875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 874.37534375
transcript.pyannote[190].end 877.02471875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 877.02471875
transcript.pyannote[191].end 888.73596875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 877.12596875
transcript.pyannote[192].end 878.30721875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 887.01471875
transcript.pyannote[193].end 893.42721875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 889.66409375
transcript.pyannote[194].end 890.28846875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 891.36846875
transcript.pyannote[195].end 891.92534375
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 894.27096875
transcript.pyannote[196].end 906.92721875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 900.58221875
transcript.pyannote[197].end 901.03784375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 901.61159375
transcript.pyannote[198].end 902.26971875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 902.69159375
transcript.pyannote[199].end 903.18096875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 903.92346875
transcript.pyannote[200].end 906.74159375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 906.92721875
transcript.pyannote[201].end 916.66409375
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 907.12971875
transcript.pyannote[202].end 920.24159375
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 921.30471875
transcript.pyannote[203].end 930.28221875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 930.63659375
transcript.pyannote[204].end 933.10034375
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 933.31971875
transcript.pyannote[205].end 934.77096875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 934.95659375
transcript.pyannote[206].end 938.83784375
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 939.56346875
transcript.pyannote[207].end 946.17846875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 946.73534375
transcript.pyannote[208].end 953.90721875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 954.29534375
transcript.pyannote[209].end 955.84784375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 956.65784375
transcript.pyannote[210].end 960.10034375
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 960.16784375
transcript.pyannote[211].end 960.64034375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 960.97784375
transcript.pyannote[212].end 962.07471875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 962.51346875
transcript.pyannote[213].end 967.52534375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 968.47034375
transcript.pyannote[214].end 975.28784375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 976.48596875
transcript.pyannote[215].end 978.02159375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 978.64596875
transcript.pyannote[216].end 984.92346875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 985.36221875
transcript.pyannote[217].end 989.34471875
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 989.93534375
transcript.pyannote[218].end 995.43659375
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 996.02721875
transcript.pyannote[219].end 999.70596875
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 1000.21221875
transcript.pyannote[220].end 1004.85284375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 1005.83159375
transcript.pyannote[221].end 1008.56534375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 1009.12221875
transcript.pyannote[222].end 1010.53971875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 1011.18096875
transcript.pyannote[223].end 1012.53096875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 1013.20596875
transcript.pyannote[224].end 1015.92284375
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 1016.36159375
transcript.pyannote[225].end 1017.10409375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 1017.69471875
transcript.pyannote[226].end 1019.97284375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 1023.80346875
transcript.pyannote[227].end 1025.08596875
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 1025.22096875
transcript.pyannote[228].end 1026.77346875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 1027.76909375
transcript.pyannote[229].end 1040.42534375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 1041.18471875
transcript.pyannote[230].end 1043.02409375
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 1043.44596875
transcript.pyannote[231].end 1045.42034375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 1046.65221875
transcript.pyannote[232].end 1054.46534375
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 1055.20784375
transcript.pyannote[233].end 1057.84034375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 1055.46096875
transcript.pyannote[234].end 1065.58596875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 1057.97534375
transcript.pyannote[235].end 1058.92034375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 1065.90659375
transcript.pyannote[236].end 1066.51409375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 1067.23971875
transcript.pyannote[237].end 1079.65971875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 1076.82471875
transcript.pyannote[238].end 1082.64659375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 1083.47346875
transcript.pyannote[239].end 1086.44346875
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 1087.42221875
transcript.pyannote[240].end 1089.91971875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 1090.84784375
transcript.pyannote[241].end 1093.27784375
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 1093.96971875
transcript.pyannote[242].end 1096.02846875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 1096.80471875
transcript.pyannote[243].end 1099.09971875
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 1099.23471875
transcript.pyannote[244].end 1101.44534375
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 1102.00221875
transcript.pyannote[245].end 1104.22971875
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 1104.87096875
transcript.pyannote[246].end 1112.58284375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 1113.17346875
transcript.pyannote[247].end 1123.07909375
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 1123.48409375
transcript.pyannote[248].end 1124.47971875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 1126.67346875
transcript.pyannote[249].end 1130.94284375
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 1128.07409375
transcript.pyannote[250].end 1128.39471875
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 1128.39471875
transcript.pyannote[251].end 1128.56346875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 1128.79971875
transcript.pyannote[252].end 1128.96846875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 1129.00221875
transcript.pyannote[253].end 1129.15409375
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 1129.15409375
transcript.pyannote[254].end 1129.84596875
transcript.whisperx[0].start 11.055
transcript.whisperx[0].end 33.286
transcript.whisperx[0].text 有請司法院副秘書長 法務部部長 然後內政部警政署署長 還有抒發部副署長好 副署長委員長我想請問我們這位四位首長我們現在台灣的詐騙問題也不嚴重 先請司法院好了 也不嚴重
transcript.whisperx[1].start 33.982
transcript.whisperx[1].end 58.09
transcript.whisperx[1].text 那個 我們從收案量來看 司法院第一線收案量來看就知道很嚴重非常嚴重 是那我再想請我們的部長 嚴重嗎這個詐騙的確是全民公敵那我們檢察官收案負擔是很嚴重那我們就是強力地掃蕩 也獲得一些的成果警政署
transcript.whisperx[2].start 59.936
transcript.whisperx[2].end 81.472
transcript.whisperx[2].text 現在詐騙是算國內的治安面是算比較嚴重的好 我們來速發部我們同意現在其實確實詐騙是嚴重的你看我們今天很好 我們四位首長的共識 台灣詐騙非常嚴重我先分享一個個案 我再從總體來看我們現在詐騙有多嚴重
transcript.whisperx[3].start 84.414
transcript.whisperx[3].end 112.548
transcript.whisperx[3].text 我最近實際上是挨家挨戶在我的選區送感謝信所以路上我會遇到很多的民眾那很多民眾會跟我去談各式各樣的問題有時候是選民陳情有時候要遇到什麼樣的狀況那我就是一意的傾聽你知道我在路上遇到非常多的其中一個太陽是在抱怨哪一件事情嗎部長你知道嗎 猜猜看請我們的司法院副秘書長
transcript.whisperx[4].start 113.837
transcript.whisperx[4].end 141.839
transcript.whisperx[4].text 就是我剛剛講的題目詐騙詐騙真的很嚴重我遇到一個老太太她看到我就哭了她說她被詐騙了好幾百萬她是追不回來她很難過她說雖然家人其實對她來講那也是個財務很大的一個負擔但家人還算體諒都在安慰她但她覺得自己過不去
transcript.whisperx[5].start 142.981
transcript.whisperx[5].end 168.841
transcript.whisperx[5].text 他覺得他自己心裡過不去然後他說這些錢他也追不回來了這是我遇到的許多個案當中的一個我們的詐騙問題有多嚴重已經變成國恥了吧我想這句話我不知道我們部長認不認同已經是台灣對人民來講詐騙已經是非常痛苦的一件事情了沒錯吧 部長
transcript.whisperx[6].start 171.182
transcript.whisperx[6].end 182.527
transcript.whisperx[6].text 我剛才講說詐騙這個是全民公敵那我想我們經過這一陣子打造司法的一個通過那從源頭的一個行政管制註決了很多的一些詐騙
transcript.whisperx[7].start 186.949
transcript.whisperx[7].end 209.961
transcript.whisperx[7].text 那林貴的這部分也提醒了民眾免受詐騙那另外我們強力掃蕩也獲得一些的成果那我想這部分大家是很努力的來我來看一下 希望說整個一個讓這個詐騙應該現在有個反轉的已經往下的一個跡象了這是我們打造四網非常謝謝您的往下今年三月詐騙的財損是多少錢部長
transcript.whisperx[8].start 215.492
transcript.whisperx[8].end 221.377
transcript.whisperx[8].text 這個財損是要有70億比2月成長了多少2月份大概60億左右到4月變到多少大概75億左右我的數字是76.5億
transcript.whisperx[9].start 240.137
transcript.whisperx[9].end 260.009
transcript.whisperx[9].text 再多了將近7.9%我想是不是把這個趨勢跟大家報告一下就是說我們打炸四法之後經過這個努力之後的一個趨勢那從打炸四法就是去年7月我先跟你講一個最簡單的人民的感受跟現在實際的狀況
transcript.whisperx[10].start 263.513
transcript.whisperx[10].end 277.739
transcript.whisperx[10].text 人民的感受,我在路上走就是感受人民對詐騙真的是深惡痛絕啊,這個感受沒錯吧?沒錯,我覺得還是有努力的空間,來持續再做努力好,謝謝,繼續努力所以我覺得部長,不要鬆懈
transcript.whisperx[11].start 280.339
transcript.whisperx[11].end 305.675
transcript.whisperx[11].text 我剛剛指的保護部啊先聽我講完啦這個沒有鬆懈如果鬆懈的話我們怎麼可能會好啦我改個實惠我改個實惠我改個實惠詐騙157億被害人打到5080人起訴80人這個還押了50幾個齁那這個我想這是整一個打造團隊的一個努力那我想這部分是有目共睹的啦齁那這跟委員做一個報告我跟部長說啊
transcript.whisperx[12].start 308.939
transcript.whisperx[12].end 332.211
transcript.whisperx[12].text 實際上的成績跟人民的感受我剛都講了不管是從財損來講從這邊感受當然我沒有否定我們這司法單位你們對於打詐的一些努力我沒有否定啦可是作為部長我覺得你要有更多的同理心去看看民眾的痛苦就像說今天你去看看我遇到那個民眾的痛苦他痛不痛苦請問部長
transcript.whisperx[13].start 337.236
transcript.whisperx[13].end 366.057
transcript.whisperx[13].text 我想這個我們都是跟民眾的感受是一樣的我請署長好了請署長所以我們才會大力的一個掃蕩那從源頭才跨部會的一個整合心再柔軟一點啦謝謝你這個我們都是有一再的你看我們原請部長你對人民感同身受對啊所以說我們一直感同所以我們一直在偵查中的案件要求要大力的查扣然後呢罪章反反
transcript.whisperx[14].start 366.517
transcript.whisperx[14].end 395.214
transcript.whisperx[14].text 然後彌補被害人的損害因為被害人真的很可憐所以我們在努力的是要求他們一定要調解和解去賠償被害人的這種的一個損失然後當作良心的一個參考所以這個要給被害人的一些的保障所以我們在落實對詐欺危害防治對被害人的一個保障我想這部分當然我們還自己在努力啦我想我對部長真的是很尊敬也尊重嘛對不對
transcript.whisperx[15].start 396.414
transcript.whisperx[15].end 415.092
transcript.whisperx[15].text 你剛剛講話也不打斷你 讓你講 雖然我質詢時間有限可是我今天其實只講一件事情人民的痛苦 我相信署長感受到吧我是站在民眾的同理心上去看待 非常好 謝謝署長要的沒有別的啦 就這份同理心啦
transcript.whisperx[16].start 416.089
transcript.whisperx[16].end 434.384
transcript.whisperx[16].text 那接下來講,我最近看到打詐有些狀況,我也不得不說,我覺得行政部門好像打詐有些矛盾,我想要釐清一下。前政書發部官員在接受侯孟楷委員質詢說,聲稱詐騙廣告無法裁罰,是因為內政部沒有提供資料。
transcript.whisperx[17].start 435.325
transcript.whisperx[17].end 456.365
transcript.whisperx[17].text 那當然刑事局發新聞稿嚴正澄清說截至今年已經通報業者下架3.8萬件詐騙廣告已經匯整移交速發布要求依法懲處我想請問一下速發布刑事局的新聞稿是真的嗎你們兩單位有什麼誤解嗎他們都移交給你們了嗎
transcript.whisperx[18].start 457.365
transcript.whisperx[18].end 481.987
transcript.whisperx[18].text 是的報告委員我想這個部分是有些時間的落差性就是有關3.8萬件的這個部分確實已經都有通知這個網路平台業者去依法下架所以這個部分有在期限內去做下架這個部分沒有裁罰的問題那至於第二個就是說有關這個內政部他移送15件案件給我們的這個部分確實有一點時間的落差
transcript.whisperx[19].start 484.309
transcript.whisperx[19].end 508.661
transcript.whisperx[19].text 在我們上個禮拜五月一號的時候我先跟書發部說啦所以妳也承認有移送嘛是的然後又跟我講一個叫時間差那我只能說妳書發部是狀況外連時間差都沒掌握嗎妳書發部可以在質詢的時候官員可以推給什麼內政部嗎妳如果已經承認是有移送資料啦
transcript.whisperx[20].start 509.321
transcript.whisperx[20].end 516.583
transcript.whisperx[20].text 5月1號的早上9點來我想請教一下我想請教一下請問警政署署長剛剛我們的抒發部官員這樣回答那我想我們未來會再加強互相的這個聯繫跟聯繫上的一個合作的一個關係對啊我覺得你們詐騙彼此比較齊心一點
transcript.whisperx[21].start 537.159
transcript.whisperx[21].end 546.327
transcript.whisperx[21].text 不要遇到責任就開始第一件事想要就先推還先推給自己其他的部會這不是一個政府通力合作的一個做法
transcript.whisperx[22].start 547.639
transcript.whisperx[22].end 555.124
transcript.whisperx[22].text 我要跟各位說啦根據統計2021年到2023年刑警人均移送案件數是從62.69件上升到84.56件那三年工作量暴增35%嘛 署長對不對對 沒錯那也因此造成我們現在全國偵查所人力有14%的預算缺額那基層負擔也非常重嘛 對不對對
transcript.whisperx[23].start 576.599
transcript.whisperx[23].end 600.467
transcript.whisperx[23].text 所以因此其實警察負責的我認為是事後的偵辦跟追查這是主要你們的主力在這個地方嘛沒有錯但是詐騙廣告釣魚網站網路詐騙的源頭管制我必須講書發部這不能推給內政部啦不能推給我們那個警政署啦你們才是職責之所在吧
transcript.whisperx[24].start 601.59
transcript.whisperx[24].end 626.863
transcript.whisperx[24].text 是 跟委員報告 這個部分來講的話其實我們在今年的打炸綱02.0開始上路之後肅發部是防炸的主政機關在這裡面呢 我們也做了許多的一些措施我直接講個結論啦我真的覺得積極度是不夠那我要特別講 我要問一下警政署啊你們現在在追查詐騙的實務上網路廣告管制的層面上有沒有遇到什麼問題希望肅發部來協助的
transcript.whisperx[25].start 629.437
transcript.whisperx[25].end 642.765
transcript.whisperx[25].text 我們現在遇到的問題就是這個廣告商雖然有實名制但是還不斷的重複在下廣告所以源頭一定要止住那如果源頭不止住這些廣告商的話一定要跟他處罰啦
transcript.whisperx[26].start 644.178
transcript.whisperx[26].end 658.897
transcript.whisperx[26].text 一定要處罰 他自己廣告商 炸房條例本來就有規範很清楚他有自主要去做管理 要去做這樣的一個責任但是他不做的話 法已經有規範如果違反這個規範 一定要處罰了
transcript.whisperx[27].start 660.627
transcript.whisperx[27].end 687.779
transcript.whisperx[27].text 來 我們請已經承認你現在是你的主責業務的書發部警政署的聲音聽到了沒有有的 我們其實跟警政署一直都有在做聯繫包括說上個禮拜移送過來的15個案件我們也已經在昨天跟警政署還有司法單位一起來研究這15個案子目前應該有一個案子有疑似資料接錄不實的部分我做個結論啦書發部的工作績 想讓國人來評價
transcript.whisperx[28].start 689.912
transcript.whisperx[28].end 713.448
transcript.whisperx[28].text 但是無論如何不要把責任推給基層員警打詐事後當然去追很重要可是你那事前的洞沒有補齊你是累死員警現在尤其打詐團的那個詐騙技術網路上的做法真的是日新月異你今天靠基層員警去抓事後去抓怎麼抓得完他利率又這麼的大
transcript.whisperx[29].start 715
transcript.whisperx[29].end 736.978
transcript.whisperx[29].text 所以今天速發部要把這個事情放在肩膀上去想想看你今天如果你沒有在源頭上把這些詐騙的一些漏洞把它縮緊一點的話你就累死所有警察也抓不完詐騙啊我每天到地上跑活動我都看到我們的員警在那邊宣導反詐騙為什麼
transcript.whisperx[30].start 739.741
transcript.whisperx[30].end 767.194
transcript.whisperx[30].text 因為詐騙真的很嚴重 幾乎每一個活動沒錯吧 署長每個活動都是我們的警察同仁在宣導反詐騙吧沒有錯幾乎每一個啦所以我都已經熟到變老朋友了啦因為都是警察同仁這邊宣導反詐騙所以我要跟我們政府部門說啊就是說基本上 請你們的合作能夠更緊密啊最後我還是要講一下前面的質詢啦
transcript.whisperx[31].start 768.564
transcript.whisperx[31].end 793.591
transcript.whisperx[31].text 我跟部長說我剛剛看到您的答詢答我還是要講一句話我說司法資源是有限的我今天也真的還是很遺憾我念幾個我們的司法人員在媒體受訪的一個感慨然後給我們部長參考他說有基層檢察官受訪說政治介入司法 招橫太明顯
transcript.whisperx[32].start 794.953
transcript.whisperx[32].end 818.616
transcript.whisperx[32].text 醫生職責守護捍衛追求的司法正義現在已經被總統跟執政的民進黨完全破壞殆盡也有調查員受訪指出在調查局裡只要有一點良心曾經犯過案的調查員都私下感嘆整個調查系統從上到下早已失去風骨睜眼說瞎話只要跟對組織就可能升官發財私下難看讓人感怒不敢言
transcript.whisperx[33].start 819.156
transcript.whisperx[33].end 841.829
transcript.whisperx[33].text 有資深檢察官受訪指出現在好像你隨地吐個痰檢調都可以把你辦成殺人放火重罪檢調司法警政首長全市總統清點的人馬猶如一條鞭作業全部只聽命於一人展現出效忠組織的大動作各地檢調單位還爭相求表現希望讓長官看到也有資深檢察官受訪時說
transcript.whisperx[34].start 843.61
transcript.whisperx[34].end 869.288
transcript.whisperx[34].text 在野黨台南宜蘭台北新北黨部陸續遭到檢調搜索檢察官佛曉初級帶隊抓人講得難聽一點就算是重罪五年以上刑責的販毒被告也只是在家收傳票到庭說明而不實聯署書所涉及的偽造文書涉罪重是五年以下刑責卻要大陣仗搜索逮人羈押押人不成
transcript.whisperx[35].start 870.169
transcript.whisperx[35].end 892.548
transcript.whisperx[35].text 為達目的一再抗告那麼嚴重不符羈押比例原則我知道部長你不會認同這些話啦對我是不會認同因為我在否認所謂的什麼去介入因為我一直在強調說個案我們都不介入不干涉不指導嘛部長我跟你已經相處一年了你回答的標準公式我也知道那這個本來就是沒有去介入嘛我要先跟部長說
transcript.whisperx[36].start 894.332
transcript.whisperx[36].end 919.79
transcript.whisperx[36].text 就像剛剛我問人民的詐騙情感的時候你竟然可以嘟弄了半天連人民的情感你都沒有辦法正面的回應我要跟你講就是說基本上我非常了解部長啊我非常了解部長今天只要是對現在的檢察官對法務部對我們現在執政黨有所指責的部分你都不會放在心上嗎
transcript.whisperx[37].start 921.365
transcript.whisperx[37].end 937.966
transcript.whisperx[37].text 今天但是社會上有一把尺在那裡啦我還是做一個簡單的結論這歷史有兩種比較一個就是垂直一個叫水平垂直比較是從古到今我就直接講嘛你之前問了多少次你們也答不出來有哪一個總統
transcript.whisperx[38].start 939.825
transcript.whisperx[38].end 966.124
transcript.whisperx[38].text 陳水扁 馬英九 蔡英文 李登輝到賴清德有哪一個總統執政任內他的司法檢調全台灣大市搜索在野黨黨部並且關押在野黨黨的幹部只有一個啦 賴清德那第二個今天到底有哪一個總統在任內會去以黨主席身份下令要求全黨公職來發動大罷免
transcript.whisperx[39].start 968.527
transcript.whisperx[39].end 995.085
transcript.whisperx[39].text 李登輝沒有 蔡英文沒有 陳水扁也沒有 馬英九也沒有啊只有我們天眾英明的賴清德總統有啊你是賴清德總統 賴政府嘛 民進黨 清典的官我不會對你有期待太高啦 你也不可能講出忤逆他們的話但是這些鐵蒸蒸 鐵糟糟的歷史事實擺在眼前不管說今天你們怎麼講 我也要講一個今天剛剛中憲委員或王紅委員資訊重點只有一個
transcript.whisperx[40].start 996.107
transcript.whisperx[40].end 1019.233
transcript.whisperx[40].text 作弊當然都要抓 我也不反對作弊要抓可是我看到一個是重如泰山的抓 一個輕如鴻毛的燒我告訴你 人民沒有那麼盲目 看得清清楚楚今天如果說這麼多的一個案件 是這種狀況的話我告訴你 大家看得清楚 最後一個結論講完
transcript.whisperx[41].start 1024.177
transcript.whisperx[41].end 1045.257
transcript.whisperx[41].text 這麼多的力量這麼多的司法資源你放在一個剛剛吳宗憲我已經問過了以前從來不去啟用的所謂的績效的一個方式現在用績效去獎勵去抓了之後你有沒有想過站在後面的警政署啊有沒有想過站在後面的員警啊有沒有想過站在後面的老百姓啊
transcript.whisperx[42].start 1046.721
transcript.whisperx[42].end 1053.26
transcript.whisperx[42].text 如果你今天有說一個陳菊走了問號能夠4小時逮人的效率去辦詐騙
transcript.whisperx[43].start 1055.63
transcript.whisperx[43].end 1082.31
transcript.whisperx[43].text 我剛剛一開始講的 那位太太通力合作 權力掃蕩的喔這個都是因為人民的苦 我們感同身受所以我們才會強力的掃蕩 才會打造司法的通過才會聯合在源頭的管制所以當然我們可以做得更好 我們一直都覺得我們做得不夠部長 你知道我現在質詢你 你也知道我對你都很尊重
transcript.whisperx[44].start 1083.53
transcript.whisperx[44].end 1095.826
transcript.whisperx[44].text 就像你剛剛一講話 你也沒回答我問題 我還是讓你回答我講的是什麼 我講的跟你有矛盾嗎我講一個最簡單的點啊今天司法資源就是有限的啊
transcript.whisperx[45].start 1096.88
transcript.whisperx[45].end 1124.256
transcript.whisperx[45].text 今天我今天遇到那位老太太她被詐騙幾百萬抱著我哭這就是鐵證的人民的現實啊那我剛剛說今天有人說陳菊走了問號在網路上問這句問號四小時逮到人難道不是事實嗎可是今天我說你的辦詐騙效率如果有像逮陳菊走了問號這樣的四個小時的績效的話也許那位老太太就不用抱著我哭啊謝謝你啊
transcript.whisperx[46].start 1126.687
transcript.whisperx[46].end 1127.028
transcript.whisperx[46].text 好 謝謝吳委員 因為待會