Author: SocialXYZ

The following abstract is from a student co-authored paper, “Approaches in Fake News Detection: An Evaluation of Natural Language Processing and Machine Learning Techniques on the Reddit Social Network,” presented by Dr. Jason Isaacs at the 8th International Conference on Data Mining and Applications (DMA 2022), presented on May 28, 2022.

Abstract
Classifier algorithms are a subfield of data mining and play an integral role in finding patterns and relationships within large datasets. In recent years, fake news detection has become a popular area of data mining for several important reasons, including its negative impact on decision-making and its virality within social networks. In the past, traditional fake news detection has relied primarily on information context, while modern approaches rely on auxiliary information to classify content. Modelling with machine learning and natural language processing can aid in distinguishing between fake and real news. In this research, we mine data from Reddit, the popular online discussion forum and social news aggregator, and measure machine learning classifiers in order to evaluate each algorithm’s accuracy in detecting fake news using only a minimal subset of data.

Reference
M. Shariff, B. Thoms, J. Isaacs, “Approaches in Fake News Detection: An Evaluation of Natural Language Processing and Machine Learning Techniques on the Reddit Social Network,” Accepted for inclusion in 8th International Conference on Data Mining and Applications (DMA 2022), May 28-29, 2022.

Read More

My colleagues and I recently published in the prestigious Journal of Management Information Systems (JMIS) titled, “Promoting learning community formation using recommender systems and learning analytics within a computer-supported collaborative learning software.” The paper provides an interesting deep dive into how collaborative recommendation systems facilitate knowledge communities. Below is the tag cloud, abstract, and full citation to the research.

Abstract
This paper explores the formation of a learning community facilitated by a specialized computer-supported collaborative learning asynchronous online discussion (AOD) tool. Drawing on research in group cognition, knowledge building discourse, and learning analytics, we conducted a mixed methods field study involving an AOD consisting of 259 messages posted by 50 participants. We applied degree and closeness centrality to cluster participants into three clusters corresponding to the central, intermediate, and peripheral community layers. The findings show that the intermediate cluster had the opportunity to influence others’ thinking within discourse, but it was the central cluster, which re-constructed the raw ideas affected by others’ feedback. The results further provide evidence that message lexical complexity does not correlate to the stages of knowledge building. Finally, results offer an initial insight into which ideas reached to higher stages of knowledge building among the clusters. Theoretical and practical implications are discussed.

Reference
E. Eryilmaz, B. Thoms, Z. Ahmed, KH Lee. “Promoting learning community formation using recommender systems and learning analytics within a computer-supported collaborative learning,” Journal of Management Information Systems, April 2022. (Impact Factor 7.84)

Read More

My colleagues and I recently published an interesting paper for HICSS 2022 titled, “Determining Link Relevancy in Tweets Related to Multiple Myeloma Using Natural Language Processing.” The paper focused on analyzing Twitter data for links to multiple myeloma. Below is the tag cloud, abstract, and full citation to the research.

Abstract

Social m`edia platforms continue to play a leading role in the evolution of how people share and consume information. Information is no longer limited to updates from a user’s immediate social network but have expanded to an abstract network of feeds from across the global internet. Within the health domain, users rely on social media as a means for researching symptoms of illnesses and the myriad of therapies posted by others with similar implications. Whereas in the past, a single user may have received information from a limited number of local sources, now a user can subscribe to information feeds from around the globe and receive real-time updates on information important to their health. Yet how do users know that the information they are receiving is relevant or not? In this age of fake news and widespread disinformation the global domain of medical knowledge can be tough to navigate. Both legitimate and illegitimate practitioners leverage social media to spread information outside of their immediate network in order to reach, sway, and enlist a larger audience. In this research, we develop a system for determining the relevancy of linked webpages using a combination of web mining through Twitter hashtags and natural language processing (NLP).

Reference
S.V. Hoven, B. Thoms, N. Botts, “Determining Link Relevancy in Tweets Related to Multiple Myeloma Using Natural Language Processing,” Proceedings of Hawaiian International Conference on System Sciences (HICSS 55), January 3-7, 2022.

Read More

My colleagues and I recently published and presented our article, “Developing a Mobile Social Learning Application for Interdisciplinary Technology Courses,” at the 2021 IADIS Conference on Information Systems. I published at IADIS back in 2007 and won Best Research Paper. My how time has flown. Below is the word cloud of the paper, abstract and citation.

Abstract
Smartphone adoption has grown steadily and now represents roughly 50% of all Internet traffic. Advances in mobile application development along with its widespread adoption offers unique opportunities within computing education to quickly offer knowledge and information directly into the hands of the learner. Adopting a mobile-first approach, this paper introduces the construction of a mobile social learning platform, built on top of existing social learning software and measures its adoption in interdisciplinary computing courses. The goal of the mobile app is to complement the browser-based system and provide access to course notifications, gradebook and discussion posts. Initial results found 50% of students adopting the smartphone app regularly, while most students preferred to use the browser-based system. Students adopting the mobile application indicated that they liked the ability to view course notifications, assignments, grades and instructor feedback from within the mobile app.

Citation
B. Thoms, E. Eryilmaz, “Developing a Mobile Social Learning Application for Interdisciplinary Technology Courses,” Proceedings of IADIS Conference on Information Systems, March 3-5, 2021.

Read More

I recently migrated the contents of my Dropbox to Microsoft OneDrive since I understand I was on borrowed time at my university, which plans to retire Dropbox in the near future. It has been 1-week now and many files are still not in sync with the cloud service. While the migration issues have been frustrating, what I am more concerned about is how new / recent files are synchronized. In fact, it’s just plain miserable.

Case in point 1, I use screenshots religiously to take snapshots of applications, which I can then embed into presentations. After uploading the presentation from my smartphone to OneDrive, I received an alert, stating that the file was uploaded. The following screenshot begs to differ. A day later, it’s still empty, although it’s showing on my desktop machine. I’m not even sure this is a syncing issue since it’s not showing on the device I uploaded it from. And why it shows on a different machine before the machine it’s uploaded from is baffling.

Case in point 2, I frequently use my desktop to construct recommendations for students, which I digitally sign on my smartphone using Adobe Sign. Today, I encountered a never-ending refresh icon on my desktop and only one of the updates is showing on my mobile device. Guess which one is not showing? Yes, of course, the file that requires the signature. Screenshots of this transaction are below.

To say these issues are frustrating is moot. The issues make the technology unusable and I’ll be moving back to Dropbox before the end of the day since the technology is unreliable.

Not to be overly critical of Microsoft since I experienced the same issues using Google Drive many years ago. I guess this shows the impressive nature of Dropbox and how sophisticated their replication and indexing capabilities are. In my experience using Dropbox, I have never run into issues syncing files to the extent I am facing with OneDrive.

Read More