Abstract
In the current world we live immersed in online applications, being one of the most present of them Social Network Sites (SNSs), and different issues arise from this interaction. Therefore, there is a need for research that addresses the potential issues born from the increasing user interaction when navigating. For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies. For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed. We review with special attention works using MAS technologies for user recommendation and guiding. Through the analysis of previous approaches on detection of the user state and risk prevention in SNSs we elaborate potential future lines of work that might lead to future applications where users can navigate and interact between each other in a more safe way.
Highlights
Since people are constantly navigating through online applications and Social Network Sites (SNSs) are between the most common of them, several efforts from the research community have been made in trying to prevent risks and aiming to lead to more satisfactory and safe user experience.The question of whether users are at risk or not in SNSs caused by the social interaction has been reviewed in Reference [1], where risks and negative outcomes that arise from this interaction between users in SNSs have been explored
But since in this work we aim to address risk prevention we focus on the detection of the sentiment and stress levels of users, which are sentiment analysis and stress analysis
Following we review visual sentiment analysis, a more recent line of work on sentiment analysis that gives a new approach to the problem of detecting sentiment polarity of the users
Summary
Since people are constantly navigating through online applications and Social Network Sites (SNSs) are between the most common of them, several efforts from the research community have been made in trying to prevent risks and aiming to lead to more satisfactory and safe user experience.The question of whether users are at risk or not in SNSs caused by the social interaction has been reviewed in Reference [1], where risks and negative outcomes that arise from this interaction between users in SNSs have been explored. Commercial risks are in line with aggressive marketing techniques, that involve spam or getting asked for personal information to be used for commercial affairs for the interest of a third person or organization different from the user that is asked for this kind of data. It has been reported in the literature that teenagers face several risks when interacting in a SNS and that said teenagers have characteristics that make them more vulnerable to those risks [4]. Regret and negative consequences can arise from the fact of publishing a post in a SNS [5]
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