A Rumor is considered as unverified pieces of information circulating, that arise in the context of uncertainty, with negative impact, and falsely attributes. Unfortunately, terribly damaging form of communication are the results of rumors. Rumors spread on social media with no exception, and only serve to amplify the negative effects on people and businesses. This paper aims to present literature related to rumor detection on social network and try to find a link on how human behavior is affected by it. Therefore, it surveys the rumors detection frameworks, algorithms, and computational techniques that help in detecting and blocking rumors from spreading on social media. Also, attributes that may identify and describe a rumor and human behavior towards rumors are gathered, unified, and arranged in an integrated recommended list. This list of attributes may be the guide for detecting and capturing rumors with their changeable inconstant form. As a result, from this trial a proposed framework is presented to offer an idea for dealing with human behavior on rumors. This model presents open issues and forwarded ideas to provide an insight for future work in the area of building Rumor-Human Behavior computational models.
Kohl that aims at presenting a collective experience in thinking and writing, through publishing excerpts of recorded discussion sessions among those who work in a particular field or topic, or people who are interested in it. The discussions take place in the presence of a mediator who directs the debate then extracts the main ideas to write them and publish them in a summarized article."Openings" aims at showing and exposing different and even opposing points of view and opinions, and opening the floor for the expression of a large number of people who have valuable experiences and opinions, and who do not have the time or the will to write."Openings" intends to challenge the traditional methods of knowledge production, especially within academic circles that are often characterized by exclusivity, individuality, selectivity, and complex requirements.It also hopes to expose and activate the intellectual wealth that characterizes the discussions and collective thinking, and then to incorporate the public audience in the suggested issues. This experience combines journalism and public discussions by tackling subjects that are usually categorized as academic or "elitist." This way, "Openings" allows for the revaluation of writing, publishing, and representation politics, and encourages those who participate to exchange their experiences and their ideas and to develop them openly and publically. This article constitutes the first attempt at "Openings," and will be followed by other articles that allow its development and the refining of its technical aspect, its chosen topics, the characteristics of those who participate in it, and the methods of writing, publishing, and drafting.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.