Social networks manifest themselves as educational and information resources as well as a discussion milieu that casts strong influence upon public opinion. Finding themselves in the social media environment, users with lower levels of critical ...

The 4th Summer School on Social Human-Robot Interaction in Chȩciny, Poland, sponsored by IEEE RAS and the EU’s Horizon 2020, assembled nearly 100 professionals and students from various fields to explore human–robot communication. This year’s edition ...

In the digital world, most people spend their leisure and precious time on social media networks such as Facebook, Twitter. Instagram, and so on. Moreover, users post their views of products, services, political parties on their social sites. This ...

Innovation and technology advancements in information systems (IS) have resulted in a multitude of product offerings and business intelligence (BI) software tools in the market to implement business intelligence systems (BIS). As a result, a high ...

Due to the large amounts of information available, it is difficult for customers to select a superior product. With the large volume of information, it is difficult for customers to assess all of the reviews. Sentiment analysis plays an active role in ...

Horizontal gender segregation exists in science, technology, engineering, and mathematics (STEM). The QSTEMHE instrument has been applied to study the phenomenon of the gender gap. The answers obtained to one of its open questions have been ...

This article reveals the imperative requirements of the digital economy for the information and analytical skills of workers and the modern problems of their formation in the framework of higher education. The insufficiently realized potential of ...

Stance detection is the task of automatically determining whether the author of a piece of text is in favor of, against, or neutral towards a target such as a topic, entity, or claim. In this paper, we propose a method based on RoBERTa to classify ...

Many network scientists have investigated the problem of mitigating or removing false information propagated in social networks. False information falls into two broad categories: disinformation and misinformation. Disinformation represents false ...

Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, ...

In recent works, numerous physical-layer security systems have been proposed as alternatives to classic cryptography. Such systems aim to use the intrinsic properties of radio signals and the wireless medium to provide confidentiality and authentication ...

We can often detect from a person’s utterances whether he or she is in favor of or against a given target entity—one’s stance toward the target. However, a person may express the same stance toward a target by using negative or positive language. Here ...

Mining various hot discussed topics and corresponding opinions from different groups of people in social media (e.g., Twitter) is very useful. For example, a decision maker in a company wants to know how different groups of people (customers, staff, ...

This paper describes a methodology approach and a tool dedicated to the exploration of the twitter social stream by combining different contextual parameters such as time, keywords, gender or the opinion. The exploration can be made in two main modes ...

The steady growth of graph data from social networks has resulted in wide-spread research in finding solutions to the influence maximization problem. In this paper, we propose a holistic solution to the influence maximization (IM) problem. (1) We ...

Generalised knowledge allows us to know a lot about something/somebody we do not directly know: this is a great cognitive advantage. At a social level this means that I can know a lot of things on people that I never met; it is social 'prejudice' with ...

According to the characteristics of information dissemination and user interaction on the internet, a discrete time model, which is based on the node influence, is proposed. In the model, every node has the opinion and the influence which is defined as ...

This work shows how to improve intelligent behavior in multi-agent systems by using a trust-based information and decision fusion technique. Our technique fuses multi-dimensional sensor data in context-specific ways using Subjective Logic (SL) on the ...

At every Sigcomm conference the corridors buzz with ideas about how to improve Sigcomm. It is a healthy sign that the premier conference in networking keeps debating how to reinvent and improve itself. In 2012 I got the chance to throw my hat into the ...

The problem of contextual suggestion is defined as finding suggested places for a user based on the temporal and geographical context of the user as well as the user's preferences on example places. Existing studies models user preferences based on the ...