The number of microblogs’ user is growing rapidly with the increase of spam. Firstly, we give microblog a formal definition, and then divide spam into two types: news and advertisements. We collect 1,760,314 items of 188MB microblog news to complete the process of content mining. Using ROST Content Mining, we work on topology macro statistics, time series mining, and so on. We find that the gro...

The massive spread of fake news has been identified as a major global risk and has been alleged to influence elections and threaten democracies. Communication, cognitive, social, and computer scientists are engaged in efforts to study the complex causes for the viral diffusion of digital misinformation and to develop solutions, while search and social media platforms are beginning to deploy cou...

Social media platforms have grown into an important medium to spread information about an event published by the traditional media, such as news articles. Grouping such diverse sources of information that discuss the same topic in varied perspectives provide new insights. But the gap in word usage between informal social media content such as tweets and diligently written content (e.g. news art...

Social Networks' omnipresence and ease of use has revolutionized the generation distribution information in today's world. However, easy access to does not equal an increased level public knowledge. Unlike traditional media channels, social networks also facilitate faster wider spread disinformation misinformation. Viral false serious implications on behaviours, attitudes beliefs public, ultima...

‎In this essay we introduce and study the notion of dimension for observers via Caratheodory structures and relative probability measures‎. ‎We show that the dimension as a three variables function is an increasing function on observers‎, ‎and decreasing function on the cuts of an observer‎. ‎We find observers with arbitrary non-negative dimensions‎. ‎We show that Caratheodory dimension for obs...

We have developed a news portal site called Fair News Reader (FNR) that recommends news articles with different sentiments for a user in each of the topics in which the user is interested. FNR can detect various sentiments of news articles, and determine the sentimetal preferences of a user based on the sentiments of previously read articles by the user. While there are many news portal sites o...

The World Wide Web is the richest source of information today available, but only a small set of these data are interesting for users. The overload of information can produce a waste of time rather than a real benefit. Moreover, information is spread all over the Web and its structure makes difficult to extract relevant data in automated ways. This paper presents News Miner (NM) a tool for news...

In this paper we present a thorough analysis of the nature of news in different mediums across the ages, introducing a unique mathematical model to fit the characteristics of information spread. This model enhances the information diffusion model to account for conflicting information and the topical distribution of news in terms of popularity for a given era. We translate this information to a...