Online teaching and learning has been beneficial in facilitating of English as a foreign language (EFL). In online EFL learning, YouTube is one the most utilized information communication technology (ICT) tools because its inherent features that make it unique environment for learners educators. Many interesting aspects YouTube-based can be supplementing conventional classroom methods, and, the...

In this work we combine sentiment analysis with graph theory to analyze user posts, likes/dislikes on a variety of social media provide recommendations for YouTube videos. We focus the topic climate change/global warming, which has caused much alarm and controversy over recent years. Our intention is recommend informative videos those seeking balanced viewpoint area key arguments/issues. To end...

We investigate relationships between online self-disclosure and received social support user engagement during the COVID-19 crisis. crawl a total of 2,399 posts 29,851 associated comments from r/COVID19_support subreddit manually extract fine-grained personal information categories types sought each post. develop BERT-based ensemble classifier to automatically identify offered in users’ comment...

In the context of the development of a feature-based opinion mining system for English, we observed that there is some very interesting information provided by customers but not yet covered by “standard” opinion mining techniques: opinion mining aims at detecting whether comments are positive or negative, but it appears that customers are very often suggesting improvements about what they are r...

We analyze user behavior on two music distribution websites, SoundCloud.com and Last.fm, using a computer-mediated discourse analysis approach. The broad goal is to infer patterns of use that can inform the development of system/site designs to facilitate communication among online users. The specific goal is to analyze the actions users perform through comments posted to the sites. Based on a ...

Despite the rapid growth in social network sites and in data mining for emotion (sentiment analysis), little research has tied the two together and none has had social science goals. This article examines the extent to which emotion is present in MySpace comments, using a combination of data mining and content analysis, and exploring age and gender. A random sample of 819 public comments to or ...

Comment sections below news articles are public fora in which potentially everyone can engage equal and fair discussions on political social issues. Yet, empirical studies have reported that many comment spaces of selective participation, discrimination, verbal abuse. The current study complements these findings by analyzing gender-related differences participation incivility. It uses a sample ...

User comments are the most popular but also extremely controversial form of communication on YouTube. Their public image is very poor; users generally expect that most comments will be of little value or even in thoroughly bad taste. Nevertheless, heaps of comments continue to be posted every day. We propose an explanation for this contradiction in user attitudes and behaviour based on a new co...