Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
1
00:00:00,060 --> 00:00:07,770
Look at the YouTube tool from Amnesty International called the YouTube data viewer who found it citizen
2
00:00:08,100 --> 00:00:11,310
evidence that Amnesty USA dot org.
3
00:00:12,310 --> 00:00:19,120
So, as the name implies, it takes certain information from YouTube videos and it pulls additional
4
00:00:19,120 --> 00:00:20,080
information from it.
5
00:00:21,370 --> 00:00:26,920
So really good use case for this would be if we're doing an open investigation, there happens to be
6
00:00:27,740 --> 00:00:28,750
a YouTube video.
7
00:00:29,260 --> 00:00:31,300
Well, how do we go about investigating that video?
8
00:00:31,330 --> 00:00:31,660
Well.
9
00:00:32,910 --> 00:00:38,130
Will typically look at the video or pull it down, will analyze the video, will kind of break apart
10
00:00:38,670 --> 00:00:40,540
certain images that we see in the video.
11
00:00:40,830 --> 00:00:43,110
We might do reverse image search is on it.
12
00:00:43,590 --> 00:00:49,500
Try to pull the data was uploaded, the timestamp and what and any other information.
13
00:00:50,070 --> 00:00:51,690
This makes it a little bit easier.
14
00:00:51,900 --> 00:00:54,300
Again, we could do the same stuff, however.
15
00:00:54,510 --> 00:00:56,400
Let's take a look at how this tool works.
16
00:00:57,420 --> 00:01:04,500
So I have a random YouTube video open here, so I'm just going to copy the YouTube URL here and read
17
00:01:04,500 --> 00:01:05,640
a patient in the tool here.
18
00:01:06,770 --> 00:01:07,940
In way you click go.
19
00:01:09,780 --> 00:01:12,930
So right off the bat, we have some basic information.
20
00:01:12,960 --> 00:01:16,020
We have the video title, of course we have the description in here.
21
00:01:17,050 --> 00:01:24,160
We also have the video I.D., we have the upload date and the upload time and.
22
00:01:25,110 --> 00:01:27,670
Currently, the video was uploaded in UTC.
23
00:01:27,690 --> 00:01:29,950
We can divert this to local time if we want to.
24
00:01:29,970 --> 00:01:31,260
By clicking the link here.
25
00:01:33,220 --> 00:01:34,330
And be a go back here.
26
00:01:34,450 --> 00:01:40,720
Now the great thing about this is it takes thumbnails from the particular video and we see there's four
27
00:01:40,720 --> 00:01:41,680
thumbnails here.
28
00:01:42,760 --> 00:01:45,370
So if I click on reverse image search here.
29
00:01:46,900 --> 00:01:52,000
Then it's going to pull various information here, so if I can, I could just kind of scroll down here.
30
00:01:52,010 --> 00:01:55,930
I don't see any particularly matching pictures here.
31
00:01:58,550 --> 00:02:05,000
This may be later on in the video, but going straight from just the surface level of it, what we see
32
00:02:05,440 --> 00:02:06,680
a way to keep scrolling down here.
33
00:02:06,800 --> 00:02:09,410
Now this is an exact match, the image that we saw.
34
00:02:10,130 --> 00:02:12,890
So we could see there's a couple of YouTube videos here.
35
00:02:16,630 --> 00:02:21,520
And not all of these are the same towns, so these are actually different videos, we may potentially
36
00:02:21,520 --> 00:02:24,430
be able to get more information from these other videos here.
37
00:02:25,990 --> 00:02:31,240
And I can see here that this one here since for Chris is world board, Chris, we're all on Pinterest.
38
00:02:31,240 --> 00:02:36,850
So again, if I'm investigating that particular video for whatever reason, I see that, well, hey,
39
00:02:36,850 --> 00:02:42,550
this video is linked also to Pinterest site so I can go there and potentially get more information about
40
00:02:42,550 --> 00:02:42,700
it.
41
00:02:44,190 --> 00:02:48,280
And if I go back here, we can click on the other images and again, he'll do a reverse image search
42
00:02:48,280 --> 00:02:49,510
wit using Google.
43
00:02:50,900 --> 00:02:56,360
And I can just scroll down here and I can see, well, no, I had some hits that aren't directly tied
44
00:02:56,360 --> 00:02:57,050
to YouTube.
45
00:02:57,950 --> 00:02:59,870
So, again, pretty useful tool.
46
00:03:00,260 --> 00:03:01,280
Really interesting.
47
00:03:02,060 --> 00:03:08,480
It's free, it's all online again, you can find out citizen evidence that Amnesty USA dot org.
48
00:03:09,350 --> 00:03:13,250
And again, this is Amnesty International tool YouTube data viewer.
49
00:03:13,670 --> 00:03:14,540
Thank you for watching.
50
00:03:14,660 --> 00:03:15,590
I'll see you next VIDEO.
4721
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.
Afrikaans
Akan
Albanian
Amharic
Armenian
Azerbaijani
Basque
Belarusian
Bemba
Bengali
Bihari
Bosnian
Breton
Bulgarian
Cambodian
Catalan
Cebuano
Cherokee
Chichewa
Chinese (Simplified)
Chinese (Traditional)
Corsican
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Faroese
Finnish
Galician
Georgian
German
Greek
Guarani
Haitian Creole
Hausa
Hawaiian
Hebrew
Hmong
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Kazakh
Kinyarwanda
Kirundi
Kongo
Korean
Krio (Sierra Leone)
Kurdish
Kyrgyz
Laothian
Latin
Latvian
Lithuanian
Luganda
Luo
Luxembourgish
Macedonian
Malagasy
Malay
Maltese
Maori
Mauritian Creole
Moldavian
Mongolian
Myanmar (Burmese)
Montenegrin
Nepali
Norwegian
Pashto
Persian
Polish
Portuguese (Brazil)
Portuguese (Portugal)
Quechua
Romanian
Romansh
Russian
Samoan
Scots Gaelic
Serbian
Sesotho
Setswana
Seychellois Creole
Shona
Sindhi
Sinhalese
Slovak
Slovenian
Somali
Spanish
Swedish
Tajik
Thai
Tigrinya
Tonga
Turkish
Turkmen
Ukrainian
Uzbek
Vietnamese
Welsh
Wolof