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Smartphones have become conduits for our most personal information and data. When one wants to install an app on their device, they have to allow the apps to access their camera, internet, location etc. This can lead to privacy issues and affect the user privacy. For example, granting privileges to location leads to tracking the user through their phone. In this paper, privacy issues of android system...
Bad news travels fast. Although this concept may be intuitively accepted, there has been little evidence to confirm that the propagation of bad news differs from that of good news. In this paper, we examine the effect of user perspective on his or her sharing of a controversial news story. Social media not only offers insight into human behavior but has also developed as a source of news. In this...
This study aims to examine the satisfied and unsatisfied of hotel customers by utilizing a word cloud approach to evaluate online reviews. As a pilot test, online commends of 1,752 hotel guests were collected from TripAdvisor.com for 5 selected hotels in Chiang Mai, Thailand. The research results revealed some common features that are identified in both satisfied and dissatisfied of customer reviews;...
With continuous declines in circulation and advertisement volume, China's newspapers have been trying hard in service and organization innovations. We explored major journals and reports on media innovations, identified five main directions of service innovations for China's newspapers and discussed about them one by one.
Swarm intelligence is defined as the properties of artificial systems. It is suited to depict people's daily behavior, such as social media users' behavior. Social media users have some characteristics. For one thing, users who have the same interest will focus on the same VIP (Very Important Person) users inside the industry. For another, the users concentrating on the same VIP user may focus on...
With the rapid development of mobile networks, people are no longer limited to seeking information offline. The Internet provides a good choice for them. As the previous research work shows, more and more people get used to using the Internet to search for health information. Online health information has attracted much attention ever before. It is well known that health related information generated...
The widespread use and integration of social media into the daily lives of many citizens has also resulted in their widespread use during emergency situation. Due to the possible reach of social media, their real-time character and multimedia integration they can be, to some extent, practical emergency communication tools. However, drawbacks such as unconfirmed or unreliable information, privacy issues...
Social media in India has become an essential tool for the successful information dissemination and publicity of a piece of information intended to be promoted in public. This paper analyses the impact of social media on Indian tourism outlining the success factors required for promotion of Indian tourism. The results of our study suggest that consumers are engaged in social networks for tourism trips...
Social media is the buzz word of the market. Marketing and promotion is solely relying upon social media which was a sideline media during its effective inception a decade back. Print media and television media lost its relevance to social media, because of many factors including cost effectiveness and wider reach. Almost all fields have adopted Social media for its effective and efficient working...
This paper proposes an innovative relevance feedback algorithm for wall-content selection in social media. The procedure results in an iterative loop, which recursively updates a weighted distance. The distance is then used for finding multimedia items that are relevant to a user's preferences. To do so, the activity log of the user under investigation is considered and his/her attention at previous...
This paper investigated conversations in social media on STEM over the course of a year to find who are the most important people that may influence STEM education discussions as well as the trends in the topics of conversations. The findings reveal that the most influential users represent organizations (businesses and non-profits relating to STEM fields and STEM education), although facilitation...
E-commerce plays a key role in business success nowadays. Therefore, the performance of E-commerce websites is critical. E-commerce websites generate a large amount of data that is often used for performance evaluation. Many website evaluation methods have been proposed, but the social media factor is usually not taken into consideration. In this paper, Twitter data is utilized for big data analytics...
An emerging challenge in the online classification of social media data streams is to keep the categories used for classification up-to-date. In this paper, we propose an innovative framework based on an Expert-Machine-Crowd (EMC) triad to help categorize items by continuously identifying novel concepts in heterogeneous data streams often riddled with outliers. We unify constrained clustering and...
The recent emergence of ubiquitous smart communication devices accelerate people to post the current trending topics in real time as micro blogs, tweets, posts and multimedia content on social media sites along with geographical location tags (geo-tags). Specifically, during recent floods in Tamilnadu 2015, the early warnings about flooded areas emerged to get posted in popular social media with geo-parsed...
In this research, we have developed a model for predicting the profitability class of a movie namely "Profit" and "Loss" based on the data about movies released between the years 2010 and 2015. Our methodology considers both historical data as well as data extracted from the social media. This data is normalized and then given a weight using standard normalization techniques. The...
This paper introduces a novel framework for modeling temporal events with complex longitudinal dependency that are generated by dependent sources. This framework takes advantage of multidimensional point processes for modeling time of events. The intensity function of the proposed process is a mixture of intensities, and its complexity grows with the complexity of temporal patterns of data. Moreover,...
Psychologists have demonstrated that pets have a positive impact on owners' happiness. For example, lonely people are often advised to have a dog or cat to quell their social isolation. Conventional psychological research methods of analyzing this phenomenon are mostly based on surveys or self-reported questionnaires, which are time-consuming and lack of scalability. Utilizing social media as an alternative...
We develop a warped correlation finder to identify correlated user accounts in social media websites such as Twitter. The key observation is that humans cannot be highly synchronous for a long duration, thus, highly synchronous user accounts are most likely bots. Existing bot detection methods are mostly supervised, which requires a large amount of labeled data to train, and do not consider cross-user...
This paper describes ongoing work to determine earthquake intensity from information provided by people who experience them, the ‘felt reports’, and from tweets describing the same events. We have studied 10 significant earthquakes in Australia over a six month period. We found a strong correlation between these two sources of information. The felt reports, which are produced by people completing...
Nowadays, Twitter is one of the most popular microblogging services. A user may follow many people who may post a 140 character status (tweet) often. Thus, if the user does not continuously read tweets, users may find an excessive number of unread tweets. Such incident causes a burden on the user to find the relevant tweet. It is one of the reasons why Twitter can lead users to feel overloaded with...
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