Fake News and False Corroboration: Interactivity in Rumor Networks
نویسنده
چکیده
Rumors inundate every social network. Some of them are true, but many of them are false. On rare occasions, a false rumor is exposed as the lie that it is. But more commonly, false rumors have a habit of obtaining apparent verification, by corroboration from what seems to be a second independent source. However, in complex social networks, the connectivity is such that a putative second source is almost never actually independent of the original source. In the present work, rumor network simulations demonstrate how remarkably easy it is for a node in the network to be fooled into thinking it has received independent verification of a false rumor, when in fact that “second source” can be traced back to the original source. By developing a theoretical understanding of the circumstances under which the spread of false rumors, “alternative facts,” and fake news can be controlled, perhaps the field can help prevent them from ruining elections and ruining entire nations.
منابع مشابه
Investigating Rumor News Using Agreement-Aware Search
In recent years, rumor news has been generated by humans as well as robots in order to attract readership, in uence opinions, and increase internet click revenue. Its detrimental e ects have become a worldwide phenomenon, leading to confusion over facts and causing mistrust about media reports. However, evaluating the veracity of news stories can be a complex and cumbersome task, even for exper...
متن کاملDetection of Fake Accounts in Social Networks Based on One Class Classification
Detection of fake accounts on social networks is a challenging process. The previous methods in identification of fake accounts have not considered the strength of the users’ communications, hence reducing their efficiency. In this work, we are going to present a detection method based on the users’ similarities considering the network communications of the users. In the first step, similarity ...
متن کاملFake News in Social Networks
We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in a piece of news, which itself may be either true or false. Agents base their decision on a private signal and their neighbors’ past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and receive utility from acting in acco...
متن کاملA Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks
The rumor is a collective attempt to interpret a vague but attractive situation by using the power of words. Therefore, identifying the rumor language can be helpful in identifying it. The previous research has focused more on the contextual information to reply tweets and less on the content features of the original rumor to address the rumor detection problem. Most of the studies have been in...
متن کاملThe Rule of Rumor Dissemination on tweets: How to Distinguish Rumors and News
The purpose of this study is to find the difference of the information diffusion between the news and rumors in the social media network. We use the tweets from South American, and analyze the social medial network and the information propagation property based on the false rumors and real confirmed news. Our result shows that the social media network of the false rumor has some unique features...
متن کامل