What does subliminal tweet mean

Measure content performance. Develop and improve products. List of Partners vendors. Elise Moreau. Freelance Contributor. Elise Moreau is a writer that has covered social media, texting, messaging, and streaming for Lifewire.

Her work has appeared on Techvibes, SlashGear, Lifehack and others. Facebook Twitter. Updated on August 29, Tweet Share Email. How do I edit a tweet after publishing it? How do I delete a tweet? How do I quote a tweet? How do I deactivate my Twitter account? How do I make my Twitter private? What is a Tweetstorm? Subtweet is a more recent addition to the deluge of Twitter-inspired words that have pervaded popular language, some more successfully than others, since Twitter was launched in There was a period when we couldn't seem to get enough of tw- wordplay, with bizarre new coinages e.

Now that Twitter is no longer a novelty however, the flow seems to have died down a little and, whilst some creations have been more enduring twitpic , tweeps , Twitterverse , tweetup , others have quickly disappeared. Would you like to use this BuzzWord article in class? Visit onestopenglish. The downloadable pdf contains a student worksheet which includes reading activities, vocabulary-building exercises, and a focus on phrasal verbs and verb and noun collocations.

Read last week's BuzzWord: Tripping the lexical fantastic — new words in Does it matter if the person being subtweeted the subtweetee? Does it matter if the person follows you? There's also the question of whether subtweeting is immoral, or wrong, or somehow makes you a bad person.

Techniques like image steganography can embed lots and lots of data, but it can be detected pretty easily. What does this look like on the other end? Check out subl1minal. How do we recover our message? Pull down the subl1minal statuses, take the SHA1 hashes of each retweeted ID, pop off the first byte from each, and reassemble your message:. The essence of the approach is to consider the message to be sent M as a large bit array. We have some stream of data that we can hash to yield a collection S.

We choose a block size b an important parameter for performance that we address in the next section. For each element in S , we take the first b bits. If those b bits match the next b bits that we need to send from M , we mark that element from S and repeat. Why not pick a really small n? Seems really slow; however, we can be a little smarter in our implementation. This way we build up a sort of SHA1 sub-collision lookup table that can speed up the encoding process considerably.