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Social media are increasingly used with different purposes, ranging from attempts to reach wider audiences, to attract different publics, to propose alternative means for interaction with citizens and/or other stakeholders. Apparently, there is an immense list of possibilities and there is potential to explore social media as one of the vehicles for providing smart governance for smart cities taking...
In the era of the development of mobile technology, direct communication becomes a rare thing between humans to their families, causing the spatial communication between families, be it close family, distant family, or extended family. This can lead to familial relationships disappear, so that the grandchildren do not know their family tree properly. The “Geni.com” app provides a feature to record...
The study of health-related topics on social media has become a useful tool for the early detection of the different adverse medical conditions. In particular, it concerns cases related to the treatment of mental diseases, as the effects of medications here often prove to be unpredictable. In our research, we use convolutional neural networks (CNN) with word2vec embedding to classify user comments...
In February 2016, World Health Organization declared the Zika outbreak a Public Health Emergency of International Concern. With developing evidence it can cause birth defects, and the Summer Olympics coming up in the worst affected country, Brazil, the virus caught fire on social media. In this work, we use Zika as a case study in building a tool for tracking the misinformation around health concerns...
Seasonal influenza is a contagious respiratory illness that can cause various complications, worsen chronic illnesses, and sometimes lead to deaths. During 2009 H1N1 flu pandemic, up to 203,000 deaths occurred worldwide. Early detection and prediction of disease outbreak is critical because it can provide more time to prepare a response and significantly reduce the impact caused by a pandemic. The...
Social media has become an important tool for sharing content in the last decade. People often talk about their experiences and opinions on different health-related issues e.g. they write reviews on medications, describe symptoms and ask informal questions about various health concerns. Due to the colloquial nature of the languages used in the social media, it is often difficult for an automated system...
Nutraceutical products are functional foods consumed by many for its proclaimed benefits to health. Most nutraceutical products are not pharmaceutical drugs, hence has been treated as food. This made nutraceutical regulation more difficult since they do not fall under the jurisdiction of pharmaceutical regulatory authorities. Accordingly, Control of Drugs and Cosmetics Regulation 1984 and related...
In recent years, the use of Internet has become one of the daily activates in our life. Social networks constitute a major component of the Web and made a revolution. It includes social networks, blogs, forum discussions and micro-blogs. Users of social media generate a huge amount of comments on a daily basis. Due to this revolution, most researches are now focusing on extracting meaningful information...
Political Polarization is the divergence of attitudes toward ideological extremes and it is more likely to happen in groups of like-minded individuals. We measured polarization on Twitter during the 2016 United States Presidential elections, analyzing Twitter backchanneling conversations occurring during the three Presidential debates. The polarization metric we use is based on an existing metaphor...
Gamification is widely applied in various fields, such as business, marketing, education and social media. Gamification is predicted to be used by many companies. Therefore, gamification is still being developed. Nowadays, social media application also growing rapidly and make a new social media application must have new methods to penetrate the global market. This research is assembled from various...
With data storage and processing technology developing fast, there has been accumulated a great amount of open data that comes from everywhere including social media. One of the promising tools to analyze these data is fuzzy cognitive maps that help to describe connections and substances to reveal patterns, facts and knowledge. One of the problems when creating cognitive maps is the identification...
Suicide is one of leading causes of death worldwide, yet little data is available about the lives of suicide victims because most people do not seek treatment. Research has shown that people express suicidal ideation in social media, which can potentially be tapped to improve our understanding of the thoughts and behaviors of people prior to suicide. In this work, we introduce a novel dataset of Chinese...
Automatic image description generation is a challenging task in computer vision and computational linguistics. It helps people to get access to social media images easily. Content generation and surface realization are two important phases of this task. Deep learning techniques have a major role in content generation phase. The important scenario in content generation is object recognition. Deep learning...
In this study, we propose a mechanism for identifying early signals of trending rumor events (i.e. controversial emerging topics) in streaming social media. The pattern, combining features of both user's attitude and information diffusion, is applied in the sliding windows of social media data streams. By capturing and analyzing frequent patterns within early windows, we found signal patterns appearing...
Social media has now become a pervasive global communication channel. Many applications and platforms have become available for users to post messages, follow friends and share experiences. Due to the high frequency with which users update their states, a large amount of data is being generated around the world every second. By analyzing this data, valuable patterns can be extracted such as the distribution...
The use of the social media sites are growing rapidly to interact with the communities and to share the ideas among others. It may happen that most of the people dislike the ideas of others person views and make the use of the offensive language in their posts. Due to these offensive terms, many people especially youth and teenagers try to adopt such language and spread over the social media sites...
Social media has given new way of communication technology for people to share their opinions, interest, sentiments. Huge amount of unstructured data is generated from social media like Facebook, twitter, LinkedIn, which is repository of useful insights. Analytics can be applied to extract various useful insights form this. Main objective of this paper is to extract the knowledge from large social...
The rapid development of the Internet has brought great convenience to users, but it also brought a lot of troubles to the users' information privacy exposure. This study selects the basic information of 300 users on FACEBOOK social media to cluster analysis. The data sets of users are divided into five groups by experiment, and the clustering results are classified and then discussed. By the analysis...
Social media has become an integral part of everyone's daily routine in today's digital era. It has evolved in an immense way with its growing number of channels, never imagined of a generation ago. Nowadays, it has become rare to see anyone without their mobiles in their hand, browsing and logging in through their social media network such as Facebook, Twitter, WhatsApp and so on. Enormous amounts...
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