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Context Aggregation and Analysis

This is a demo platform aimed to facilitate the verification of UGC video content posted on YouTube, Twitter and Facebook. In contrast to other approaches, which attempt to analyze the videos themselves for traces of forgery, this platform analyzes the video context: The characteristics of the poster, any relevant user comments, the local weather reports at the time of the event, and other contextual pieces of information are aggregated and presented to the user for analysis. To test the service, simply copy and paste a YouTube, Facebook* or Twitter URL into the box, then click "Verify"

*Right click on the Facebook video and copy the video URL

Contact: {olgapapa,papadop}@iti.gr

Input Video:

Back to examples

or have a look at some explanatory examples below


FACEBOOK EXAMPLES


YOUTUBE EXAMPLES


TWITTER EXAMPLES

× Info!

Search in Twitter

Tweet contains embedded YouTube video. Submit the YouTube video to CAA for analysis here

Loading general...

GENERAL

VIDEO

Name Value
ID
Title
Description
Description Mentioned Locations
Upload Time
View Count
Like Count
Dislike Count
Comment Count
Duration
Dimension
Definition
Licensed Content
Recording Location Description
Recording Time
Name Value
Title
ID
Content Category
Content Tags
Desctiption
Description Mentioned Locations
Created Time
Updated Time
Comments
Embeddable
Length
Picture
Privacy
Name Value
ID
Text
Created Time
Source
Text Mentioned Locations
Retweet Count
Favorite Count
Hashtags
URLs
Users Mentions
Language
Video Aspect Ratio
Video Duration
Video Url
Video Bitrate
Verification Label

CHANNEL

Name Value
ID
Description
Description Mentioned Locations
Created Time
Location
View Count
Comment Count
Subscriber Count
Video Count
Video Per Month
Url
About Page
Name Value
Source
Name Value
Username
User Screen Name
User Location
User Description Mentioned Locations
User URL
User Description
User Protected
User Verified
User Followers
User Friends
User Listed
User Favourites
User Statuses
User Language
User Created Time
User Profile Image
COMMENTS
× Info! Fetching more comments...
× Info! Due to Twitter API limitations, it is impossible to retrieve replies to this particular tweet
More Comments...
THUMBNAILS
× Info! The tweet contains embedded YouTube video thus no thumbnail images can be retrieved. Submit the YouTube video to CAA for analysis here
WEATHER CONTEXT
Location:

Possible Values:

No details available for input:
Date:Exact time

Possible Values:

All values are in UTC



Loading weather context...

Brussels, Belgium
Tue, 21 Nov 2017
Mostly cloudy throughout the day
Mostly cloudy throughout the day
-
°C

06:00

Visibility : -
Cloud Cover : -
Wind speed : -
  • 00:00
  • 03:00
  • 06:00
  • 09:00
  • 12:00
  • 15:00
  • 18:00
  • 21:00

Powered by Dark Sky

Loading twitter context...

TWITTER CONTEXT
× Info! Fetching more tweets...

*Tweets may be added outside viewport. Click 'Reset Zoom Level' to reset zooming scale and inspect all tweets.

× Info! Provides information on twitter traffic around the video, and aggregate verification information on any Retweets, calculated using CERTH's Tweet Verification Assistant. Due to retweets containing the exact same tweet text, the veracity of the tweet depends on the user profile
× Info! Due to the large number of tweets, only a representative sample (10) is shown. While we fetch more tweets only the bar at the bottom is being visual updated. If you want to see all the tweets in the timeline graph Click here
Timeline of Tweets
50%
Total tweets: 0

Unreliable tweets: 0 (0%)

Reliable tweets: 0 (0%)

Loading results...

Wind speed is caused by air moving from high pressure to low pressure, usually due to changes in temperature. Beaufort: More

Cloud cover values only vary by 0.03 from year to year, whereas the local, day to day variability in cloud amount typically rises to 0.3 over the globe. Most data sets agree on the fact that the land is covered by 0.10-0.15 less cloud than the oceans More

The international definition of fog is a visibility of less than 1 kilometre (3,300 ft); mist is a visibility of between 1 kilometre (0.62 mi) and 2 kilometres (1.2 mi) and haze from 2 kilometres (1.2 mi) to 5 kilometres (3.1 mi). Visibility of less than 100 metres (330 ft) is usually reported as zero. More

General information about the video and the channel it was uploaded, extracted from its YouTube context. For values that are not provided, the corresponding fields are left blank.
NOTE: Video Upload Time is in GMT.

These are all the comments that appear under the video. User name and date/time are provided. Comments are further filtered into Verification-related comments based on the presence of verification- related keywords, such as “fake”, “confirm”, or “location”.

These thumbnails are produced automatically by the video platform (YouTube or Facebook, respectively). There is a fixed number of them, as decided by the platform, extracted by regular time intervals through the video. Click the "Reverse image search" link to run an image-based search through Google.

Weather information, provided by Dark Sky. You can contrast the historical weather data for the time the video was supposedly shot, to the weather displayed in the video. Suggested location names and date-times are extracted from the contextual information, but if these values are not correct, you can manually provide your own. If a specific time is given, the service provides the weather at that time. Otherwise, it provides an overall report for that day”.

Provides information on twitter traffic around the video, and aggregate verification information on any Tweets sharing the video, calculated using CERTH's Tweet Verification Assistant

This is an interactive visualization of all Tweets sharing the video. Click on any one Tweet to see the original post.

Statistics of the credibility scores of Tweets sharing the video.

We have developed a machine learning algorithm for tweet verification, based on linguistic patterns from the text and features from the user profile, and trained on a large number of fake and real tweets. We apply the algorithm to all tweets sharing the video and, depending on the number of such tweets that the algorithm labels as “fake”, we can draw an overall conclusion on the probability that the video itself contains false information.

Indicates whether the video represents licensed content, which means that the content was uploaded to a channel linked to a YouTube content partner and then claimed by that partner.

Pages with a large number of followers can be manually verified by Facebook as having an authentic identity. This field indicates whether the page is verified by this process.

Indicates whether the video is available in 3D or in 2D.

Indicates whether the video is available in high definition (HD) or only in standard definition. Valid values for this property are: hd and sd.