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For many organizations, establishing a presence in social media is akin to learning a foreign language and assimilating to a new culture. Communicating with networking agents requires an understanding of social media's language codes, social dynamics, and acceptable behaviour. As in any acculturation process, connecting with target audiences through social media takes time and effort. To be accepted...
We collected data from Twitter posts about firms in the S&P 500 and analyzed their cumulative emotional valence (i.e., whether the posts contained an overall positive or negative emotional sentiment). We compared this to the average daily stock market returns of firms in the S&P 500. Our results show that the cumulative emotional valence (positive or negative) of Twitter tweets about...
Abstract. In the context of smart cities and Internet of Things (IoT), there are many trending contents on the social networks that reflect the picture of the community or their interest. In this paper, we propose a model that automatically collect trending social data and analyze them automatically. The model explores trending contents, overall attitude of textual contents and the relationships among...
In 2015, around 3,000 websites, including Google, Yahoo, Facebook, Youtube and Twitter were blocked in mainland China under the policy of Internet censorship. Quite a number of these websites are social media and instant messaging related. This motivates us to investigate about the relationship between online activities and offline activities. We are especially interested in whether online political...
Social surveys have been used by researchers and policy makers as an essential tool for understanding social and political activities in society. Social media has introduced a new way of capturing data from large numbers of people. Unlike surveys, social media deliver data more rapidly and cheaply. In this paper, we aim to rapidly identify socio-political activity in South Africa using proxy data...
The large adoption of Twitter during electioneering has created a valuable opportunity to monitor political deliberation nationwide. Recent work has analyzed online attention to forecast elections results addressing some limitations of opinion polling. However, the reproducibility of such methods remains a challenge given that most of them rely on the number of political parties or candidates mentions...
Opioid (e.g., heroin and morphine) addiction has become one of the largest and deadliest epidemics in the United States. To combat such deadly epidemic, there is an urgent need for novel tools and methodologies to gain new insights into the behavioral processes of opioid addiction and treatment. In this paper, we design and develop an intelligent system named iOPU to automate the detection of opioid...
Most past work on social network link fraud detection tries to separate genuine users from fraudsters, implicitly assuming that there is only one type of fraudulent behavior. But is this assumption true? And, in either case, what are the characteristics of such fraudulent behaviors? In this work, we set up honeypots ("dummy" social network accounts), and buy fake followers (after careful...
Drug abuse and addiction is a growing epidemic at the forefront of public health. Within this remit, the illicit use of opioid analgesics alone has emerged as one of the fastest growing forms of drug abuse in the U.S. and the death rate from this epidemic are drawing comparison to the US AIDS epidemic. Traditional methods of epidemiology based on explicit reporting of indicator-based data from patient...
Caregiving is the act of providing assistance to an individual unable to perfom some daily living activities. Caregiving can be either paid or unpaid. An informal caregiver is an unpaid caregiver to an older, sick, or disabled family member or friend on a daily basis. Informal caregiving is associated with increased physical, mental, and emotional stressors contributing to poor health outcomes, caregiver...
Even while engaged in an attention-consuming activity such as watching TV, social media users often end up paying attention to one or more social media. This is an example of a behavioral phenomenon called Continuous Partial Attention (CPA). Quantification of user attention can be a valuable metric in understanding user behavior under scenarios where their attention is divided. In this study, we propose...
Suicide is a significant public health issue, causing huge impacts on individuals as well as their families. Psychiatric stressors are major suicide risk factors and can profoundly impact a person in many aspects. In order to facilitate the understanding of psychiatric stressors and the associated symptoms, we extracted stressors and symptoms terms from major online knowledge repositories and psychiatric...
Mobile phone not only becomes an important extended-self but also provides opportunity for researchers to record and investigate people's daily behaviors through it. The central goal of the study is to understand people's daily life routine as well as how they use cellphone to communicate and interact with others. Compared with conventional methods such as diary method or experience sampling method,...
The study uses speed context composed by temporal and spatial factors to analyze people's app usages in their daily life. Cellphone activities of forty-five students recruited from university campuses were recorded and analyzed. Recorded activities include app usages, monitor switching on/off, and geolocations, all with timestamp. The study categorized more than one thousand apps into seven categories...
We study the discursive practices of politicians and journalists on social media. For this we need more annotated data than we currently have but the annotation process is time-consuming and costly. In this paper we examine machine learning methods for automatically annotating unseen tweetsbased on a small set of manually annotated tweets. Forimproving the performance of the learner, we focus onmethods...
Social networking sites such as Twitter and Facebook attracts millions of users across the world and their interaction with social networking has affected their life. This popularity in social networking has led to different problems including the possibility of exposing incorrect information to their users through fake accounts which results to the spread of malicious content. This situation can...
The increased use of the Internet and the ease of access to online communities like social media have provided an avenue for cybercrimes. Cyberbullying, which is a kind of cybercrime, is defined as an aggressive, intentional action against a defenseless person by using the Internet, social media, or other electronic contents. Researchers have found that many of the bullying cases have tragically ended...
Social media plays an important role in shaping the beliefs and sentiments of an audience regarding an event. A comparison between public data sets that have holistic features and social media data set that include more user features would give insight into the spread of misinformation and aspects of events that are reflected in user behavior. In this research, we compare the trends identified in...
Stress, anger, fear or negative relationships known as risk factors in heart diseases. Unfortunately this factors can not be measured with numeric data. In this study, main goal is system approach that classifies datas received from social media, specifically Twitter. Statistics and Twitter datas gathered based on cities of Turkey. In this system approach, Multinomial Naive-Bayes method has used as...
In recent years, the huge amount of data that has emerged in the world as a result of a very rapid increase in digital data has brought about the storage, processing and analysis of data into business intelligence solutions. One of the biggest sources of this large-scale data that has emerged and continues to grow is the data produced from social media tools. The average daily amount generated by...
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