Summarization has usually relied on gold standard summaries to train extractive or abstractive models. Social media brings a hurdle summarization techniques since it requires addressing multi-document multi-author approach. We address this challenging task by introducing novel method that generates of online news discussions. Our extends BERT-based architecture, including an attention encoding ...

Abstract This study evaluates whether increasing information visibility around the identity of a moderator influences bystanders’ likelihood to flag subsequent unmoderated harassing comments. In 2-day preregistered experiment conducted in realistic social media simulation, participants encountered ambiguous or unambiguous harassment comments, which were ostensibly flagged by either other users,...

Social media platforms offer their audience the possibility to reply posts through comments and reactions. This allows social users express ideas opinions on shared content, thus opening virtual discussions. Most studies networks have focused only user relationships or while ignoring valuable information hidden in digital conversations, terms of structure discussion relation between contents, w...

OBJECTIVE Individual users' attitudes and opinions help predict successful adoption of health information technology (HIT) into practice; however, little is known about pediatric users' acceptance of HIT for medical decision-making at the point of care. MATERIALS AND METHODS We wished to examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Compute...

Introduction: In recent years, especially with the spread of COVID -19 disease, use electronic health services has increased greatly. Along growth and development among users, concern about ethical legal issues increases. The purpose this article was to review current state provision by active platforms in field identify challenges problems users using these achieve desired state. Method: This ...

In this research various objective quality measures are evaluated in order to predict the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise. The obtained results are compared with the prediction results of a more advanced perceptual-based model proposed by Dau et al. and an objective intelligibility measure, namely the coherence spee...

Background and Aim: A hospital website is an appropriate system for exchanging information and connecting patients, hospitals and medical staff. The purpose of this study was to identify and classify desirable web-based services in websites of Iran's hospitals based on Kano’s Customer Satisfaction Model. Materials and Methods: This was a survey study. The statistical population of the study co...

The paper considers studying the perception and assessment of media content in the Russian-language social networks, analyzing the causes that affect the perception and distribution of network content. The importance of language learning and communication in Russian-language social networks, and problems of content effectiveness is determined by the growth in the number and activity of Runet us...

Social networks have a huge potential for the reflection of public opinion, values, and attitudes. In this study, presented approach can allow to continuously measure how cold “the demographic temperature” is based on data taken from Russian social network VKontakte. This first attempt analyze sentiment Russian-language comments determine temperature (ratio positive negative comments) in certai...

Interactions between tourism and social networks are among the most notable phenomena of recent times, generating new approaches, in terms both analyses policies for promotion. Public authorities have been forced to become involved these realities, adapting their promotion channels tourists’ behaviour patterns carefully cultivating interactions with them. It is becoming ever more important crea...