HOW TO spot a fake video upload on YouTube using its API
Some clever YouTube users take advantage of the wisdom of the crowds who graciously give a video they have watched, a thumbs up or a thumbs down. You can identify a popular video for a specific keyword by googling with a search query like this : "like 100..200" "dislike 0..2" Moog site:youtube.com reference : https://developers.google.com/youtube/2.0/developers_guide_protocol_video_feeds Currently, this technique doesn't seem to work effectively due to a code change involving the count of Likes & Dislikes. Finding out the count of people who dislike a video and the ratio of likes to dislikes for a particular video is simple if you use the YouTube API. The JSON feed of the YouTube search webservice exposes values for viewCount, likeCount, ratingCount which can help in gauging if a video is really what it claims through its title. Some trolls disallow rating for the videos they upload so that viewers cannot rate it. That's another red...