How To Negate Bogus Likes On Social Networks By Users Wanting to Get Reciprocal Likes?

Leave it to humans to try to manipulate everything in their lives from finances to relationships. Speaking of relationship manipulation consider the miss-use of social online networks if you will. Indeed, I've witnessed folks going out of their way to induce me to join their social networks even when we've never met, even blind solicitations via emails. I've also watched people post onto their social networking pages links which they believe will make them look good, not because they care, but to put on the proverbial masquerade. Let's talk shall we?There is a very interesting paper titled; "Exploiting Burstiness in Reviews for Review Spammer Detection," by Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh which looks at review spam on Amazon and uses algorithms to spot "burstiness" of certain types of reviews by users which did not buy the product.Now then, if we know the average time it takes someone to read "x-amount" of text, or the time of a video presentation on YouTube, then we can tell if someone actually read the blog post, news article, research paper, online eBook, or watch the video long enough to actually have formed an opinion of the piece other than reading the title. Not long ago, I noted that one individual who was let's say a "detractor" of those who were skeptical of global warming had "liked" several 100 pieces of information in a very short proximity of time.


Indeed, I suspected that this individual did not read all that content, and I got my first clue that I was correct about that when I read the third article he'd "liked" that day, although the title had fit his ambitious slandering of the opposing view, the actual data and article was completely counter to his ascertain, meaning he couldn't have liked it at all, and it was the opposite of what all the other articles and his own viewpoints were about. Was he just "liking everything" in his domain of so-called expertise?I checked that out too, the answer is NO, there were several articles in the same publications he "liked" that day, that also ran counter to his opinion in the matter. Therefore, it should be easy to use the "time" between "likes" to help in the grading of the relevant information being "re-tweeted" or attempting through manipulation of those social networks to go viral because of a single or small group of users, or even PR agents in a given domain or topic. Please consider all this and think on it.