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Communication Technology and New Media Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Twitter (2)
- Arab Spring (1)
- Campaigns (1)
- Computational social science (1)
- Decision making (1)
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- Egyptian revolution (1)
- Elections (1)
- Facebook (1)
- Incivility (1)
- Latent Dirichlet Allocation (1)
- Negativity (1)
- Online participation platforms (1)
- Political discourse (1)
- Political opinion (1)
- Senate (1)
- Sentiment analysis (1)
- Social Media (1)
- Social Observatory (1)
- Social media (1)
- Support Distribution Machines (1)
- Support Vector Machines (1)
- Text analytics (1)
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Articles 1 - 4 of 4
Full-Text Articles in Communication Technology and New Media
Incivility In 2022 Senatorial Elections, Mark Meyer
Incivility In 2022 Senatorial Elections, Mark Meyer
Theses/Capstones/Creative Projects
This honors capstone project will examine the effect of social media, specifically Twitter, on U.S. senate elections in 2022. It will track the tweets of personal and official campaign Twitter accounts from the end of the primary until election night in two “Toss Up” or highly contested seats in the 2022 senate elections. This project will examine the winner of the Republican and Democrat primaries only. All the tweets from the timeframe will be tracked and categorized by intention or use of the tweet. These categories will break down the tweet into what it was meant to do be it …
Towards A Requirement Framework For Online Participation Platforms, Astrid Hellsmanns, Claudia Niemeyer, Margeret A. Hall, Tom Zentek, Christof Weinhardt
Towards A Requirement Framework For Online Participation Platforms, Astrid Hellsmanns, Claudia Niemeyer, Margeret A. Hall, Tom Zentek, Christof Weinhardt
Interdisciplinary Informatics Faculty Proceedings & Presentations
Online participation platforms (OPPs) are frequently used by public institutions to involve citizens in political opinion forming and decision making. A literature re-view reveals different approaches to evaluate these OPPs. These approaches focus only on partial requirements of participation processes. In this research in progress, we develop and pretest an interdisciplinary literature-based requirement frame-work. It includes the categories usability, security, information, transparency, inte-gration, and mobilisation. Our aim is to close the research gap of a context-specific analysis and evaluation of OPPs.
How Do Politicians Use Facebook? An Applied Social Observatory, Simon Caton, Margeret A. Hall, Christof Weinhardt
How Do Politicians Use Facebook? An Applied Social Observatory, Simon Caton, Margeret A. Hall, Christof Weinhardt
Interdisciplinary Informatics Faculty Publications
In the age of the digital generation, written public data is ubiquitous and acts as an outlet for today’s society. Platforms like Facebook, Twitter, Google+ and LinkedIn have profoundly changed how we communicate and interact. They have enabled the establishment of and participation in digital communities as well as the representation, documentation and exploration of social behaviours, and had a disruptive effect on how we use the Internet. Such digital communications present scholars with a novel way to detect, observe, analyse and understand online communities over time. This article presents the formalization of a Social Observatory: a low latency method …
Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider
Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider
Interdisciplinary Informatics Faculty Proceedings & Presentations
We aim to predict activities of political nature in Egypt which influence or reflect societal-scale behavior and beliefs by using learning algorithms on Twitter data. We focus on capturing domestic events in Egypt from November 2009 to November 2013. To this extent we study underlying communication patterns by evaluating content-based and meta-data information in classification tasks without targeting specific keywords or users. Classification is done using Support Vector Machines (SVM) and Support Distribution Machines (SDM). Latent Dirichlet Allocation (LDA) is used to create content-based input patterns for the classifiers while bags of Twitter meta-information are used with the SDM to …