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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Learning And Decision Making In Social Media Networks, Zhecheng Qiang
Learning And Decision Making In Social Media Networks, Zhecheng Qiang
Electronic Theses and Dissertations, 2020-
Social media is a virtual community where users share news, ideas, interests, and information. Learning the information diffusion dynamics and making decisions correspondingly, e.g., selecting the seed nodes to maximize the influence, have been widely applied to the areas of viral marketing and cyber security. In this dissertation, we study the problem of learning diffusion process, i.e., infection prediction, in social media networks utilizing both feature-based machine learning methods and mathematical model-based methods. For feature-based machine learning methods, the neighborhood information is treated as an important feature together with user profile and content similarity features. For model-based methods, two distinctive …
Investigating The Effects Of Negative Influence Gradients And Emotion Contagion On The Information Processing Capacity Of Social Media Users: Information Diffusion Modeling Approach, Nisha Baral
Electronic Theses and Dissertations, 2020-
With the growing use of Online social media (OSM), users are observing a substantial amount of information in their social feeds. Moreover, people often use multiple OSM platforms because of each platform's unique features. Because of the huge volume of information present in social feeds, it restricts a user's ability to process the relevant information since the most important information may be overwhelmed by unimportant information. For information to diffuse in OSM, the receiver's attention is the most important condition. Cognition plays an important role in determining a user's attention/responsiveness. If OSM users receive the information above their cognition limits …
A Human-Centered Approach To Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi
A Human-Centered Approach To Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi
Electronic Theses and Dissertations, 2020-
Computational risk detection has the potential to protect especially vulnerable populations from online victimization. Conducting a comprehensive literature review on computational approaches for online sexual risk detection led to the identification that the majority of this work has focused on identifying sexual predators after-the-fact. Also, many studies rely on public datasets and third-party annotators to establish ground truth and train their algorithms, which do not accurately represent young social media users and their perspectives to prevent victimization. To address these gaps, this dissertation integrated human-centered approaches to both creating representative datasets and developing sexual risk detection machine learning models to …
Not All Influence Is Born Equal: On The Effects Of Various Types Of Behavioral Influence Relationships On Social Media, Chathurani Senevirathna
Not All Influence Is Born Equal: On The Effects Of Various Types Of Behavioral Influence Relationships On Social Media, Chathurani Senevirathna
Electronic Theses and Dissertations, 2020-
Typically, online social influence is analyzed using a single metric approach. However, social influence is not monolithic; different users exercise different influences in different ways, and influence is correlated with the user and content-specific attributes. One such attribute could be whether the action is an initiation of a new post, a contribution to a post, or a sharing of an existing post. Thus, this dissertation uses this platform-independent action classification and models the influence as multiple entities and examines social networks through the perspective of behavioral influence propagation. Two empirical studies are present in this dissertation. The first study presents …
Identifying Challenges And Opportunities For Designing Social Media Nudges For Adolescents, Oluwatomisin Obajemu
Identifying Challenges And Opportunities For Designing Social Media Nudges For Adolescents, Oluwatomisin Obajemu
Electronic Theses and Dissertations, 2020-
With the prevalence of online risks encountered by youth online, strength-based approaches such as nudges have been recommended as a potential solution to subtly guide teens toward safer decisions. However, most nudging interventions to date have not been designed to cater to teens’ unique needs and online safety concerns. To address this gap, this study aimed to better understand adolescents’ perceptions and feedback on online safety nudges to inform the design of more effective online safety interventions. We conducted 12 semi-structured interviews and 3 focus group sessions with 21 teens (13 – 17 years old) to get their feedback on …