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Full-Text Articles in Physical Sciences and Mathematics
Exploiting Social Media Sources For Search, Fusion And Evaluation, Chia-Jung Lee
Exploiting Social Media Sources For Search, Fusion And Evaluation, Chia-Jung Lee
Doctoral Dissertations
The web contains heterogeneous information that is generated with different characteristics and is presented via different media. Social media, as one of the largest content carriers, has generated information from millions of users worldwide, creating material rapidly in all types of forms such as comments, images, tags, videos and ratings, etc. In social applications, the formation of online communities contributes to conversations of substantially broader aspects, as well as unfiltered opinions about subjects that are rarely covered in public media. Information accrued on social platforms, therefore, presents a unique opportunity to augment web sources such as Wikipedia or news pages, …
Gsu Connects Us., Lokeshwar Reddy Nalavolu, Ravali Nirumalla, Priyanka Ranga, Sarmishta Ramamoorthy Venkatanarasimhan
Gsu Connects Us., Lokeshwar Reddy Nalavolu, Ravali Nirumalla, Priyanka Ranga, Sarmishta Ramamoorthy Venkatanarasimhan
All Capstone Projects
“GSU Connects US” is a posting based student communication website. Today on the internet there are lots of social sites available but most of them are for the technical purpose only. On the current market analysis the most popular site for posting is “Facebook” and the “Google+” but both contains mix categories of technical and non – technical, so a normal person surfing on the internet to find the event for his or her interested find it difficult to choose proper category for the event. It covers Events, Connect to the students, Q & A forum Resale of used books, …
Detecting, Modeling, And Predicting User Temporal Intention, Hany M. Salaheldeen
Detecting, Modeling, And Predicting User Temporal Intention, Hany M. Salaheldeen
Computer Science Theses & Dissertations
The content of social media has grown exponentially in the recent years and its role has evolved from narrating life events to actually shaping them. Unfortunately, content posted and shared in social networks is vulnerable and prone to loss or change, rendering the context associated with it (a tweet, post, status, or others) meaningless. There is an inherent value in maintaining the consistency of such social records as in some cases they take over the task of being the first draft of history as collections of these social posts narrate the pulse of the street during historic events, protest, riots, …
Analysis Of Real-World Passwords For Social Media Sites, Mark J. Quinn
Analysis Of Real-World Passwords For Social Media Sites, Mark J. Quinn
Masters Theses, 2010-2019
Textual passwords have dominated all other entity authentication mechanisms since they were introduced in the early 1960’s. Despite an inherent weakness against social engineering, keylogging, shoulder surfing, dictionary, and brute-force attacks, password authentication continues to grow as the Internet expands. Existing research on password authentication proves that dictionary attacks are successful because users make poor choices when creating passwords. To make passwords easier to remember, users select character strings that are shorter in length and contain memorable content, like personal identity information, common words found in a dictionary, backward spellings of common words, recognizable sequences, and easily guessed mnemonic phrases. …
Fake And Spam Messages: Detecting Misinformation During Natural Disasters On Social Media, Meet Rajdev
Fake And Spam Messages: Detecting Misinformation During Natural Disasters On Social Media, Meet Rajdev
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
During natural disasters or crises, users on social media tend to easily believe contents of postings related to the events, and retweet the postings, hoping that the postings will be reached by many other users. Unfortunately, there are malicious users who understand the tendency and post misinformation such as spam and fake messages with expecting wider propagation. To resolve the problem, in this paper we conduct a case study of the 2013 Moore Tornado and Hurricane Sandy. Concretely, we (i) understand behaviors of these malicious users; (ii) analyze properties of spam, fake and legitimate messages; (iii) propose flat and hierarchical …
Small Business Use Of Internet Marketing: Findings From Case Studies, Maya Demishkevich
Small Business Use Of Internet Marketing: Findings From Case Studies, Maya Demishkevich
Walden Dissertations and Doctoral Studies
Internet marketing is critical for meeting changing consumer needs and staying competitive in the business environment. Small business owners need strategies on how to use Internet marketing to promote their products or services. The purpose of this multiple case study was to explore how 5 small business owners in Maryland developed and implemented an online marketing strategy. Participants were recruited for their roles as the chief decision maker of their business; additional prerequisites for their participation were that they used Internet marketing, represented different industries, and had fewer than 20 employees. Data came from semi-structured interviews with the small business …
Effects Of Investor Sentiment Using Social Media On Corporate Financial Distress, Tarek Hoteit
Effects Of Investor Sentiment Using Social Media On Corporate Financial Distress, Tarek Hoteit
Walden Dissertations and Doctoral Studies
The mainstream quantitative models in the finance literature have been ineffective in detecting possible bankruptcies during the 2007 to 2009 financial crisis. Coinciding with the same period, various researchers suggested that sentiments in social media can predict future events. The purpose of the study was to examine the relationship between investor sentiment within the social media and the financial distress of firms Grounded on the social amplification of risk framework that shows the media as an amplified channel for risk events, the central hypothesis of the study was that investor sentiments in the social media could predict t he level …
Mining User Viewpoints In Online Discussions, Minghui Qiu
Mining User Viewpoints In Online Discussions, Minghui Qiu
Dissertations and Theses Collection (Open Access)
Online discussion forums are a type of social media which contains rich usercontributed facts, opinions, and user interactions on diverse topics. The large volume of opinionated data generated in online discussions provides an ideal testbed for user opinion mining. In particular, mining user opinions on social and political issues from online discussions is useful not only to government organizations and companies but also to social and political scientists. In this dissertation, we propose to study the task of mining user viewpoints or stances from online discussions on social and political issues. Specifically, we will talk about our proposed approaches for …