IVOD_ID |
160894 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160894 |
日期 |
2025-05-01 |
會議資料.會議代碼 |
聯席會議-11-3-23,22-1 |
會議資料.會議代碼:str |
第11屆第3會期交通、教育及文化委員會第1次聯席會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
1 |
會議資料.種類 |
聯席會議 |
會議資料.委員會代碼[0] |
23 |
會議資料.委員會代碼[1] |
22 |
會議資料.委員會代碼:str[0] |
交通委員會 |
會議資料.委員會代碼:str[1] |
教育及文化委員會 |
會議資料.標題 |
第11屆第3會期交通、教育及文化委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2025-05-01T10:23:42+08:00 |
結束時間 |
2025-05-01T10:32:05+08:00 |
影片長度 |
00:08:23 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/872e8bbe37846fc0fc14a2bfe17980622bf9a8039e28b7ca5144d4d67ecd09c18ef0204c35ffc9fc5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林俊憲 |
委員發言時間 |
10:23:42 - 10:32:05 |
會議時間 |
2025-05-01T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期交通、教育及文化委員會第1次聯席會議(事由:一、審查委員林楚茵等17人擬具「新聞媒體與數位平台議價法草案」案。二、審查委員羅廷瑋等16人擬具「新聞媒體與數位平臺強制議價法草案」案。三、審查委員王鴻薇等20人擬具「新聞媒體與數位平臺強制議價法草案」案。四、審查台灣民眾黨黨團擬具「新聞媒體與數位科技平台公平發展法草案」案。五、審查委員林宜瑾等21人擬具「數位新聞發展與民主韌性法草案」案。六、審查委員范雲等21人擬具「數位新聞發展與民主韌性法草案」案。
【僅進行詢答】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.26721875 |
transcript.pyannote[0].end |
0.65534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
2.69721875 |
transcript.pyannote[1].end |
9.73409375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
13.14284375 |
transcript.pyannote[2].end |
14.66159375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
17.00721875 |
transcript.pyannote[3].end |
17.56409375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
18.93096875 |
transcript.pyannote[4].end |
19.74096875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
20.19659375 |
transcript.pyannote[5].end |
25.02284375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
25.34346875 |
transcript.pyannote[6].end |
29.71409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
30.54096875 |
transcript.pyannote[7].end |
31.97534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
32.27909375 |
transcript.pyannote[8].end |
33.83159375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
34.13534375 |
transcript.pyannote[9].end |
41.02034375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
41.56034375 |
transcript.pyannote[10].end |
53.89596875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
51.46596875 |
transcript.pyannote[11].end |
52.46159375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
53.89596875 |
transcript.pyannote[12].end |
56.54534375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
56.27534375 |
transcript.pyannote[13].end |
63.46409375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
63.78471875 |
transcript.pyannote[14].end |
70.39971875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
71.14221875 |
transcript.pyannote[15].end |
80.10284375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
79.25909375 |
transcript.pyannote[16].end |
84.37221875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
84.81096875 |
transcript.pyannote[17].end |
89.45159375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
89.67096875 |
transcript.pyannote[18].end |
91.05471875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
92.05034375 |
transcript.pyannote[19].end |
93.63659375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
93.92346875 |
transcript.pyannote[20].end |
98.46284375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
99.20534375 |
transcript.pyannote[21].end |
100.75784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
101.29784375 |
transcript.pyannote[22].end |
103.13721875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
104.28471875 |
transcript.pyannote[23].end |
108.55409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
108.73971875 |
transcript.pyannote[24].end |
112.11471875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
113.16096875 |
transcript.pyannote[25].end |
113.63346875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
114.44346875 |
transcript.pyannote[26].end |
116.36721875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
116.75534375 |
transcript.pyannote[27].end |
119.92784375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
120.97409375 |
transcript.pyannote[28].end |
128.28096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
129.42846875 |
transcript.pyannote[29].end |
134.45721875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
134.35596875 |
transcript.pyannote[30].end |
134.44034375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
134.45721875 |
transcript.pyannote[31].end |
135.60471875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
135.48659375 |
transcript.pyannote[32].end |
136.07721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
136.58346875 |
transcript.pyannote[33].end |
138.96284375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
139.13159375 |
transcript.pyannote[34].end |
141.22409375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
141.94971875 |
transcript.pyannote[35].end |
144.49784375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
144.97034375 |
transcript.pyannote[36].end |
145.69596875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
146.01659375 |
transcript.pyannote[37].end |
148.93596875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
149.67846875 |
transcript.pyannote[38].end |
151.39971875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
152.53034375 |
transcript.pyannote[39].end |
152.98596875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
153.28971875 |
transcript.pyannote[40].end |
155.02784375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
155.33159375 |
transcript.pyannote[41].end |
155.65221875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
155.87159375 |
transcript.pyannote[42].end |
163.39784375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
164.02221875 |
transcript.pyannote[43].end |
164.19096875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
164.44409375 |
transcript.pyannote[44].end |
165.13596875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
165.13596875 |
transcript.pyannote[45].end |
165.38909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
166.33409375 |
transcript.pyannote[46].end |
166.99221875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
167.53221875 |
transcript.pyannote[47].end |
169.35471875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
169.84409375 |
transcript.pyannote[48].end |
171.27846875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
171.80159375 |
transcript.pyannote[49].end |
172.12221875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
173.82659375 |
transcript.pyannote[50].end |
174.51846875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
175.17659375 |
transcript.pyannote[51].end |
176.94846875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
177.92721875 |
transcript.pyannote[52].end |
184.22159375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
183.58034375 |
transcript.pyannote[53].end |
186.63471875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
187.09034375 |
transcript.pyannote[54].end |
190.12784375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
190.12784375 |
transcript.pyannote[55].end |
190.70159375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
191.29221875 |
transcript.pyannote[56].end |
191.32596875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
191.32596875 |
transcript.pyannote[57].end |
192.23721875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
192.18659375 |
transcript.pyannote[58].end |
192.22034375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
192.23721875 |
transcript.pyannote[59].end |
192.65909375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
192.43971875 |
transcript.pyannote[60].end |
194.63346875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
195.02159375 |
transcript.pyannote[61].end |
196.37159375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
196.96221875 |
transcript.pyannote[62].end |
198.64971875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
199.10534375 |
transcript.pyannote[63].end |
201.43409375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
201.77159375 |
transcript.pyannote[64].end |
203.76284375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
205.09596875 |
transcript.pyannote[65].end |
205.72034375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
206.00721875 |
transcript.pyannote[66].end |
207.13784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
208.08284375 |
transcript.pyannote[67].end |
209.26409375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
209.61846875 |
transcript.pyannote[68].end |
211.54221875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
212.55471875 |
transcript.pyannote[69].end |
212.82471875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
213.11159375 |
transcript.pyannote[70].end |
215.00159375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
215.57534375 |
transcript.pyannote[71].end |
216.57096875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
217.66784375 |
transcript.pyannote[72].end |
218.84909375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
219.62534375 |
transcript.pyannote[73].end |
221.41409375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
222.29159375 |
transcript.pyannote[74].end |
223.70909375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
223.96221875 |
transcript.pyannote[75].end |
224.75534375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
226.71284375 |
transcript.pyannote[76].end |
229.27784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
230.03721875 |
transcript.pyannote[77].end |
233.07471875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
233.36159375 |
transcript.pyannote[78].end |
235.92659375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
236.21346875 |
transcript.pyannote[79].end |
237.71534375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
238.79534375 |
transcript.pyannote[80].end |
241.74846875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
242.96346875 |
transcript.pyannote[81].end |
243.46971875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
243.84096875 |
transcript.pyannote[82].end |
245.22471875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
246.37221875 |
transcript.pyannote[83].end |
246.64221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
247.09784375 |
transcript.pyannote[84].end |
250.35471875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
250.92846875 |
transcript.pyannote[85].end |
252.16034375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
252.85221875 |
transcript.pyannote[86].end |
253.35846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
253.45971875 |
transcript.pyannote[87].end |
255.01221875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
255.70409375 |
transcript.pyannote[88].end |
258.04971875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
258.43784375 |
transcript.pyannote[89].end |
263.48346875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
264.19221875 |
transcript.pyannote[90].end |
265.94721875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
266.50409375 |
transcript.pyannote[91].end |
267.39846875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
268.46159375 |
transcript.pyannote[92].end |
269.89596875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
270.67221875 |
transcript.pyannote[93].end |
272.44409375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
273.25409375 |
transcript.pyannote[94].end |
274.09784375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
274.75596875 |
transcript.pyannote[95].end |
276.61221875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
277.75971875 |
transcript.pyannote[96].end |
279.17721875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
279.63284375 |
transcript.pyannote[97].end |
282.83909375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
283.37909375 |
transcript.pyannote[98].end |
285.38721875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
286.12971875 |
transcript.pyannote[99].end |
287.44596875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
288.15471875 |
transcript.pyannote[100].end |
290.01096875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
290.46659375 |
transcript.pyannote[101].end |
291.19221875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
292.00221875 |
transcript.pyannote[102].end |
294.22971875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
294.61784375 |
transcript.pyannote[103].end |
296.35596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
297.30096875 |
transcript.pyannote[104].end |
298.49909375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
299.27534375 |
transcript.pyannote[105].end |
303.20721875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
303.46034375 |
transcript.pyannote[106].end |
304.25346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
305.02971875 |
transcript.pyannote[107].end |
309.21471875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
309.38346875 |
transcript.pyannote[108].end |
313.28159375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
313.90596875 |
transcript.pyannote[109].end |
315.18846875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
315.96471875 |
transcript.pyannote[110].end |
316.45409375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
317.06159375 |
transcript.pyannote[111].end |
318.22596875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
318.86721875 |
transcript.pyannote[112].end |
321.51659375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
322.30971875 |
transcript.pyannote[113].end |
323.81159375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
324.18284375 |
transcript.pyannote[114].end |
326.03909375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
326.56221875 |
transcript.pyannote[115].end |
328.48596875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
329.19471875 |
transcript.pyannote[116].end |
334.62846875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
335.60721875 |
transcript.pyannote[117].end |
336.68721875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
337.76721875 |
transcript.pyannote[118].end |
339.67409375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
340.58534375 |
transcript.pyannote[119].end |
342.62721875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
342.89721875 |
transcript.pyannote[120].end |
345.00659375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
345.52971875 |
transcript.pyannote[121].end |
348.22971875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
348.83721875 |
transcript.pyannote[122].end |
359.78909375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
360.46409375 |
transcript.pyannote[123].end |
362.69159375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
363.26534375 |
transcript.pyannote[124].end |
366.40409375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
366.40409375 |
transcript.pyannote[125].end |
373.39034375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
373.15409375 |
transcript.pyannote[126].end |
375.76971875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
375.76971875 |
transcript.pyannote[127].end |
375.80346875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
375.92159375 |
transcript.pyannote[128].end |
384.29159375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
384.30846875 |
transcript.pyannote[129].end |
384.32534375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
384.32534375 |
transcript.pyannote[130].end |
387.19409375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
384.37596875 |
transcript.pyannote[131].end |
384.40971875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
384.42659375 |
transcript.pyannote[132].end |
384.44346875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
388.02096875 |
transcript.pyannote[133].end |
389.64096875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
389.82659375 |
transcript.pyannote[134].end |
389.84346875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
389.84346875 |
transcript.pyannote[135].end |
390.11346875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
390.36659375 |
transcript.pyannote[136].end |
392.62784375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
393.35346875 |
transcript.pyannote[137].end |
395.27721875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
396.27284375 |
transcript.pyannote[138].end |
400.52534375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
400.84596875 |
transcript.pyannote[139].end |
401.57159375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
402.43221875 |
transcript.pyannote[140].end |
404.40659375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
404.81159375 |
transcript.pyannote[141].end |
405.75659375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
406.49909375 |
transcript.pyannote[142].end |
407.07284375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
407.46096875 |
transcript.pyannote[143].end |
410.86971875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
411.64596875 |
transcript.pyannote[144].end |
412.72596875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
413.09721875 |
transcript.pyannote[145].end |
414.09284375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
415.45971875 |
transcript.pyannote[146].end |
417.23159375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
417.24846875 |
transcript.pyannote[147].end |
417.45096875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
417.58596875 |
transcript.pyannote[148].end |
418.49721875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
419.35784375 |
transcript.pyannote[149].end |
420.08346875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
420.38721875 |
transcript.pyannote[150].end |
422.42909375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
423.62721875 |
transcript.pyannote[151].end |
424.89284375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
425.19659375 |
transcript.pyannote[152].end |
425.93909375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
426.27659375 |
transcript.pyannote[153].end |
427.47471875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
426.73221875 |
transcript.pyannote[154].end |
429.73596875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
427.60971875 |
transcript.pyannote[155].end |
429.16221875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
430.39409375 |
transcript.pyannote[156].end |
430.86659375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
431.87909375 |
transcript.pyannote[157].end |
433.21221875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
433.65096875 |
transcript.pyannote[158].end |
436.78971875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
435.72659375 |
transcript.pyannote[159].end |
448.23096875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
447.75846875 |
transcript.pyannote[160].end |
448.72034375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
448.75409375 |
transcript.pyannote[161].end |
455.41971875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
455.74034375 |
transcript.pyannote[162].end |
457.19159375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
458.17034375 |
transcript.pyannote[163].end |
458.49096875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
458.92971875 |
transcript.pyannote[164].end |
459.50346875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
459.77346875 |
transcript.pyannote[165].end |
460.39784375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
460.80284375 |
transcript.pyannote[166].end |
463.38471875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
463.70534375 |
transcript.pyannote[167].end |
467.46846875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
468.51471875 |
transcript.pyannote[168].end |
473.37471875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
474.42096875 |
transcript.pyannote[169].end |
476.59784375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
476.81721875 |
transcript.pyannote[170].end |
479.34846875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
479.71971875 |
transcript.pyannote[171].end |
482.08221875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
482.53784375 |
transcript.pyannote[172].end |
485.18721875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
485.86221875 |
transcript.pyannote[173].end |
486.87471875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
487.54971875 |
transcript.pyannote[174].end |
489.89534375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
489.92909375 |
transcript.pyannote[175].end |
491.05971875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
491.39721875 |
transcript.pyannote[176].end |
492.81471875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
493.81034375 |
transcript.pyannote[177].end |
494.72159375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
494.90721875 |
transcript.pyannote[178].end |
496.30784375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
496.52721875 |
transcript.pyannote[179].end |
499.46346875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
499.75034375 |
transcript.pyannote[180].end |
500.23971875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
500.27346875 |
transcript.pyannote[181].end |
500.56034375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
500.56034375 |
transcript.pyannote[182].end |
501.84284375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
500.59409375 |
transcript.pyannote[183].end |
501.26909375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
501.57284375 |
transcript.pyannote[184].end |
501.62346875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
502.85534375 |
transcript.pyannote[185].end |
503.59784375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
503.95221875 |
transcript.pyannote[186].end |
503.96909375 |
transcript.whisperx[0].start |
3.775 |
transcript.whisperx[0].end |
29.371 |
transcript.whisperx[0].text |
我們謝謝主席 本席邀請我們抒發部黃部長黃部長部長好 部長今天大家都在關心今天的主題就是媒體的溢價法我看我們抒發部自己本身的報告裡面 |
transcript.whisperx[1].start |
30.678 |
transcript.whisperx[1].end |
48.991 |
transcript.whisperx[1].text |
當然你有特別提到國際上尤其是美國啦美國對於澳洲跟加拿大的媒體溢價法他認為這是一個貿易障礙他認為這樣的一種瞌睡啊說如果你瞌睡的話那美國甚至要不排除用關稅報復 |
transcript.whisperx[2].start |
50.822 |
transcript.whisperx[2].end |
56.229 |
transcript.whisperx[2].text |
如果以目前來的狀態剛好台灣在跟美國做關稅談判的時候如果台灣通過這樣的媒體議交法對於我們跟美國的關稅談判會造成什麼樣的影響 |
transcript.whisperx[3].start |
71.226 |
transcript.whisperx[3].end |
90.192 |
transcript.whisperx[3].text |
一樣就是因為現在在談判中這個是一個無可預測的因素所以我覺得那你認為台灣在現在這個時候適合來推媒體一家房我個人認為是這個時候不是一個good timing不是一個好的時間點不是一個好的時機 |
transcript.whisperx[4].start |
92.165 |
transcript.whisperx[4].end |
119.423 |
transcript.whisperx[4].text |
那其實他在澳洲的經驗啊澳洲是2021年全世界第一個通過媒體溢價法那Google和臉書啊在2021年就停止支付了他們就不顧澳洲當地的法律然後他們就回去透過美國政府啊就跟澳洲政府來做談判施壓所以目前這個問題啊已經變成一個不是台灣現在面對的問題是全世界都面對的問題 |
transcript.whisperx[5].start |
121.018 |
transcript.whisperx[5].end |
128.058 |
transcript.whisperx[5].text |
那如果以目前我們跟美國在做關稅談判的時候部長認為這個時候通過這樣的一個法律啊 |
transcript.whisperx[6].start |
129.485 |
transcript.whisperx[6].end |
154.613 |
transcript.whisperx[6].text |
恐怕會影響到我們跟美國的談判會造成一個負面影響嘛 是不是這樣那其實這幾個平台巨頭在國際上他也有辦法啦他會反擊這樣的一個媒體定價法比如說他在澳洲加拿大他有個模式啦他就封鎖當地的新聞內容 對不對那你當地的媒體也拿不到錢 |
transcript.whisperx[7].start |
156.038 |
transcript.whisperx[7].end |
176.616 |
transcript.whisperx[7].text |
第二個他透過美國政府把他做為數位的貿易壁壘來做談判等等那如果這種狀態下其實如果我們要推這個在川普跟這些平台巨頭的關係好不好 |
transcript.whisperx[8].start |
180.268 |
transcript.whisperx[8].end |
206.954 |
transcript.whisperx[8].text |
應該是都有一些很好的合作關係有合作關係嗎?川普以前每天痛罵臉書啊川普當選以後但現在是臉書在修補跟他的關係啦你了解嗎?所以川普他自己去創造一個自媒體的平台嘛他認為臉書專門在修理他啊川普認為這些平台巨頭啊都是民主黨的,都是左派的其實這個在談判上啊 |
transcript.whisperx[9].start |
208.12 |
transcript.whisperx[9].end |
237.338 |
transcript.whisperx[9].text |
不是不能講道理啦我也不知道有沒有在這個談判桌上但是美國國內同樣也會有這個問題啦美國國內的媒體他們的新聞製造製造者那他們上的臉書他們有沒有拿到錢也沒有嘛因為美國也沒有強制移交法所以這個絕對是平台跟全世界的新聞媒體業界大家的一個共同的議題 |
transcript.whisperx[10].start |
239.017 |
transcript.whisperx[10].end |
267.239 |
transcript.whisperx[10].text |
這個其實也可以結合啦做國際上一個結合啦因為這幾個平台獨大嘛那有在做這個媒體也是做經過媒體的其實美國國內也有啊對不對媒體的生存困境美國也一樣啊全世界都一樣啊你看那個數位廣告現在已經超過一般傳統的廣告了嘛數位廣告過去幾年啊我這裡的資料啊 |
transcript.whisperx[11].start |
268.51 |
transcript.whisperx[11].end |
295.062 |
transcript.whisperx[11].text |
成長了三倍多成長了百分之三百四十六你看那個非數位廣告衰退一半我講的是十年來十年來數位廣告成長百分之三百四十六非數位廣告反而衰退快一半所以這是一個大家共同問題但我認為今天要討論的其實不只是政媒體定價法因為你現在有卡到跟美國關稅談判的問題 |
transcript.whisperx[12].start |
297.352 |
transcript.whisperx[12].end |
319.737 |
transcript.whisperx[12].text |
不過確實我們塑化部必須要有一定的角色來管理這些平台因為這些平台成為詐騙 假訊息的溫床詐騙廣告都在這些平台上面嘛對不對所以你看澳洲政府他對臉書就是說你臉書 |
transcript.whisperx[13].start |
322.369 |
transcript.whisperx[13].end |
339.45 |
transcript.whisperx[13].text |
Meta現在拒絕澳洲的定價法以後澳洲提出的措施就是他要準備成立一個數位事務部腳步比台灣慢台灣現在就有數位發展部了 |
transcript.whisperx[14].start |
340.629 |
transcript.whisperx[14].end |
359.178 |
transcript.whisperx[14].text |
那我們應該要有一定的 這種一定角色可以管理這些平台我現在講的不是只有新聞定價而已啦例如你在那邊一些假錯訊息啦 有一些色情啦 詐騙啦 等等這些平台啊 只認錢啊 只收廣告費啊 他有負起他的社會責任嗎 |
transcript.whisperx[15].start |
360.509 |
transcript.whisperx[15].end |
387.006 |
transcript.whisperx[15].text |
但你現在有法可以管他嗎你現在只能道德勸說這些平台如果是詐騙的話就是我們有打詐這個專法嘛就是用這個來管制他他們也都配合啦那現在詐騙廣告還是那麼多對所以我們如果不管是民眾檢舉或是我們發現我們會要求他下架目前的法律規定是他在24小時之內要下架所以你像今年那個新聞有沒有今年4月啊 |
transcript.whisperx[16].start |
388.049 |
transcript.whisperx[16].end |
412.13 |
transcript.whisperx[16].text |
Meta的副總裁啊臉書的副總監啊總監啊他在美國舉手發誓作證啊他說Meta在中國他配合中國政府介入啊審查台港的發文審查幫中國政府審查甚至還針對這中國本身香港台灣用戶發的文字進行修改這臉書的前總監他的國會作證的 |
transcript.whisperx[17].start |
416.033 |
transcript.whisperx[17].end |
419.798 |
transcript.whisperx[17].text |
國會聽證是有法律責任的他不能說謊的那證實臉書是這樣的來配合一個獨裁政府 |
transcript.whisperx[18].start |
423.666 |
transcript.whisperx[18].end |
448.014 |
transcript.whisperx[18].text |
那臉書在台灣會不會幹同樣的事情我們不知道啊但是你有角色你有法律的那種定位給你的角色你可以去介入嗎你可以去管理嗎我們對這問題也蠻關注所以我們除了關注美國現在共聽會的結果我們在台灣也會跟臉書在這方面再做進一步的了解跟溝通所以我覺得 |
transcript.whisperx[19].start |
448.894 |
transcript.whisperx[19].end |
473.387 |
transcript.whisperx[19].text |
你確實應該要提出塑化部的院版的法律啦那不是只專注在今天講的這個新聞定價法因為這個是一個世界性的問題啦但是你塑化部澳洲現在才緊急要成立塑化部台灣已經有了但我們過去塑化部的功能一直受到大家很大的批評嘛對不對那主要就是對於這些網路上的管理尤其這些平台巨頭的管理嘛 |
transcript.whisperx[20].start |
474.468 |
transcript.whisperx[20].end |
498.524 |
transcript.whisperx[20].text |
那你現在沒有法律坦白講 你只能借助其他單位的法律就像剛剛你講的 防詐的法律或者是你跟他們 老是邀來喝咖啡愛吵鬧不吵別 對不對你只能給他用勸說的方式所以你還是要訂出我們自己國家對於網路上 政府該有的一個你們要負起你們的責任還有你們的權責 好不好好 謝謝部長好 謝謝 |