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Samer Al-Khateeb

Biographic Data

ID1846292
NAMESamer Al-Khateeb
GIVEN NAMESSamer
FAMILY NAMEAl-Khateeb
SIGNATUREAL-KHATEEB S
AFFILIATIONSCreighton University
ORCID0000-0001-6327-5720
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS4
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Constructing a multi-theoretical framework for mob modeling

    Open Access•R Murray, Bridget Orr et al.•ARTICLE•Social Network Analysis and Mining•2025

    As social media has made us more connected, it has also increased our ability to mobilize groups of people and coordinate events, such as mobs. Understanding the motivation of individuals to join such events and the ability to predict the outcome of these events (success or failure) is complex and requires a robust understanding of social science theories. In this research, we aim to analyze the applicability of five social science theories to ex…

  • Cheating or Fair Competition? A Structuration Analysis of Social Media Responses to Lia Thomas’ NCAA Swimming Championship

    Open Access•R G Johnson, Samer Al-Khateeb et al.•ARTICLE•Communication & Sport•2025•References: 13

    In March 2022, Lia Thomas of the University of Pennsylvania became the first openly transgender woman to win an NCAA swimming championship. Using Giddens’ structuration theory as a theoretical lens, this analysis employs Latent Dirichlet Allocation to examine how tweets about Thomas and transgender athletes contain toxic discourses based on established sports structures of fairness and sex separation of sports

  • Evaluating collective action theory-based model to simulate mobs

    Open Access•Samer Al-Khateeb, Jack Burright et al.•ARTICLE•Social Network Analysis and Mining•2024•References: 22

    A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people (who might have an agenda) get together online or offline to collectively conduct an act and then disperse (quickly or over a long period). In recent years, these events are increasingly happening worldwide due to the anonymity of the internet, affordability of social media, boredom, etc. Studying such …

  • Targeted Social Media Harassment

    Open Access•R G Johnson, Samer Al-Khateeb et al.•ARTICLE•Communication & Sport•2023•Cited by: 4•References: 9

    Scholars and professionals have discussed that women working in sports media are often targeted by hateful rhetoric on social media. Through the lenses of hegemonic masculinity and online toxicity theories, this study examines X (formerly known as Twitter) mentions directed at both men and women sports reporters, comparing how men and women are harassed and how often. The study also uses a network analysis to examine toxic behaviors and communiti…

  • Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks

    Open Access•Mustafa Alassad, Billy Spann et al.•CHAPTER•Design and Construction of Smart…•2021

  • Flash mob

    Open Access•Samer Al-Khateeb, Neil Agarwal•ARTICLE•Social Network Analysis and Mining•2021

  • Targeted Social Media Harassment

    Open Access•R G Johnson, Samer Al-Khateeb et al.•ARTICLE•Communication & Sport•2023•Cited by: 4•References: 9

    Scholars and professionals have discussed that women working in sports media are often targeted by hateful rhetoric on social media. Through the lenses of hegemonic masculinity and online toxicity theories, this study examines X (formerly known as Twitter) mentions directed at both men and women sports reporters, comparing how men and women are harassed and how often. The study also uses a network analysis to examine toxic behaviors and communiti…

  • Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks

    Open Access•Mustafa Alassad, Billy Spann et al.•CHAPTER•Design and Construction of Smart…•2021

  • Flash mob

    Open Access•Samer Al-Khateeb, Neil Agarwal•ARTICLE•Social Network Analysis and Mining•2021

  • Targeted Social Media Harassment

    Open Access•R G Johnson, Samer Al-Khateeb et al.•ARTICLE•Communication & Sport•2023•Cited by: 4•References: 9

    Scholars and professionals have discussed that women working in sports media are often targeted by hateful rhetoric on social media. Through the lenses of hegemonic masculinity and online toxicity theories, this study examines X (formerly known as Twitter) mentions directed at both men and women sports reporters, comparing how men and women are harassed and how often. The study also uses a network analysis to examine toxic behaviors and communiti…

  • Evaluating collective action theory-based model to simulate mobs

    Open Access•Samer Al-Khateeb, Jack Burright et al.•ARTICLE•Social Network Analysis and Mining•2024•References: 22

    A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people (who might have an agenda) get together online or offline to collectively conduct an act and then disperse (quickly or over a long period). In recent years, these events are increasingly happening worldwide due to the anonymity of the internet, affordability of social media, boredom, etc. Studying such …

  • Constructing a multi-theoretical framework for mob modeling

    Open Access•R Murray, Bridget Orr et al.•ARTICLE•Social Network Analysis and Mining•2025

    As social media has made us more connected, it has also increased our ability to mobilize groups of people and coordinate events, such as mobs. Understanding the motivation of individuals to join such events and the ability to predict the outcome of these events (success or failure) is complex and requires a robust understanding of social science theories. In this research, we aim to analyze the applicability of five social science theories to ex…

  • Cheating or Fair Competition? A Structuration Analysis of Social Media Responses to Lia Thomas’ NCAA Swimming Championship

    Open Access•R G Johnson, Samer Al-Khateeb et al.•ARTICLE•Communication & Sport•2025•References: 13

    In March 2022, Lia Thomas of the University of Pennsylvania became the first openly transgender woman to win an NCAA swimming championship. Using Giddens’ structuration theory as a theoretical lens, this analysis employs Latent Dirichlet Allocation to examine how tweets about Thomas and transgender athletes contain toxic discourses based on established sports structures of fairness and sex separation of sports

Computer Science (4 works) · Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Computer security (2 works) · Crime Patterns and Interventions (2 works) · Opinion Dynamics and Social Influence (2 works) · Political science (2 works) · Psychology (2 works) · Social media (2 works) · Social Psychology (2 works)

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